yatra.com

Jan 1, 2019

10,647,315

Records

108

Files

Apr 24, 2026

Added

A breach of Yatra (yatra.com), a major Indian online travel booking platform. The archive contains 109 numbered CSV files with user account records including numeric user IDs, email addresses, salutation/title, first and last names, physical addresses (street, city, state, country, PIN code), mobile and alternate phone numbers. The data is entirely Indian in nature, evidenced by Indian addresses, Indian phone numbers, Indian email providers (rediffmail.com, yahoo.co.in), and references to Indian cities and states. One record explicitly references 'Yatra Office' in Gurgaon as an address, confirming the source. The archive was distributed via BreachForums.

Data found in this dataset

EmailFirst nameLast nameAddressCityStateCountrySuffixaddress2zipphoneskipfullName

Source files

Expand any file to inspect its column headers and the LLM's field-mapping reasoning, recorded during ingestion.

1.csv

12 columns98,991 rows

File structure

Format: CSV·Delimiter: comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] header '[email protected]' is an email; all values contain @ and are valid email addresses
2	suffix	high	[2] header 'Mr.' and values are salutations/titles (Mr, Mr)
3	firstName	high	[3] header 'MOHAMED'; values are common given names (Shubham, Wilbert, NABI, Mithilesh, Sajmon)
4	lastName	high	[4] header 'RAFIQ'; values are surnames (Chadravanshi, Vaz, ANSARI, kumar, Rajamani)
5	address1	high	[5] header 'METTUPALAYAM'; values are street addresses (81/G Risali Sector, Swan, 11 A Ashoka road new delhi, mariapuram, dispur)
6	address2	medium	[6] header empty; values mostly empty or duplicate address info; secondary address field
7	city	high	[7] header 'COIMBATORE'; values are Indian city names (Bhilai, Siwan, New delhi, coimbatore, guwahati)
8	state	high	[8] header 'Tamilnadu'; values are Indian states (Chhattisgarh, Bihar, Delhi, Tamil Nadu, Assam)
9	country	high	[9] header 'India'; all values are 'India' or 'IND'
10	zip	high	[10] header '641301'; values are 6-digit Indian postal codes (490006, 841436, 110001, 641104, 781005)
11	phone	high	[11] header '9943834335'; values are 10-digit Indian mobile numbers (9885332000, 8602184719, 9821238286, 9971268719, 9868301865)
12	phone	high	[12] header empty; values are 10-digit numbers (23782736, 9500974345, 9864970759); secondary/alternate phone field

Notes: Yatra 2019 Indian travel booking breach. Column [0] is numeric user ID (skip). All PII identified: email, name components (firstName, lastName, suffix), full address (address1, address2, city, state, zip), country, and dual phone fields. Indian phone numbers (10 digits starting with 7-9) and Indian postal codes (6 digits) confirmed.

10.csv

12 columns98,981 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] All values contain @ signs; headers and sample values are clearly email addresses (yahoo.com, gmail.com, yahoo.co.in)
2	suffix	high	[2] Header 'Mr'; all sample values are salutations/titles (Mr, consistent with Indian naming conventions)
3	firstName	high	[3] Values are common given names (Shashidhar, Amit, Dinesh, prabhakarkumar, aditya, syedfaiz)
4	lastName	high	[4] Values are surnames (mahavadi, Rishi, Namjoshi, singh, garg, hasan)
5	address1	high	[5] Street-level address components (vishal nagar, B1/402 Supernal Garden, 7 d b gupta road, kharghar, raj nagar)
6	address2	high	[6] Secondary address details (Kolshet RD., paharganj, sector23raj nagar gzb.)
7	city	high	[7] Indian city names (pune, THANE, new delhi, mumbai, ghaziabad, CHENNAI)
8	state	high	[8] Indian state abbreviations and names (maharashtra, delhi, Maharashtra, Uttar Pradesh, TN)
9	country	high	[9] Country codes (IN, IND) — India
10	zip	high	[10] Indian postal codes/PIN codes (411027, 110055, 410210, 201002, 600032)
11	phone	high	[11] Indian mobile numbers, 10 digits (9850832696, 9810678244, 8128992377, 7498081429)
12	phone	high	[12] Alternate/secondary phone numbers, 10 digits or variable length (9869266264, 9868208976, 666666 appears to be invalid/test data, 9958691421)

Notes: 13 columns total. Column [0] is a numeric user ID (skip). All other columns map to PII. Indian travel booking platform context confirms address/phone/email structure. Columns [11] and [12] are both phone fields (primary and alternate mobile/contact numbers, common in Indian databases).

11.csv

13 columns98,964 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
0	skip	high	[0] numeric user IDs (3623523, 3623524, etc.), auto-generated internal identifiers
1	email	high	[1] all values contain @ symbol, valid email addresses (yahoo.com, rediffmail.com, gmail.com, hotmail.com)
2	suffix	high	[2] header 'Mr', 'Mrs' — salutation/title values, matches suffix field type
3	firstName	high	[3] single given names (Nitesh, umesh, SEEMA, Sharmila, Nikhil, SAIF), typical first names
4	lastName	high	[4] single family names (Sahni, patil, PANDEY, Jain, Agarwal, ALI), typical last names
5	address1	high	[5] street addresses (Camp road, 12-1-334/17/18 katariya niwas, a-62 new agra, 29 BAJRANG VIHAR COLONY,JAITPURA)
6	address2	medium	[6] secondary address component (Lalapet), appears to be locality/area designation
7	city	high	[7] Indian city names (Amravati, secunderabad, agra, JAIPUR)
8	state	high	[8] Indian states (Maharashtra, Andhra Pradesh, Uttar Pradesh, Rajasthan)
9	country	high	[9] country codes/names (IND, India)
10	zip	high	[10] Indian postal codes/PIN codes (444605, 500017, 282005, 303704), 6-digit format
11	phone	high	[11] Indian mobile phone numbers (9675850123, 7798055456, 9930015853, 9553906777, 9869033220, 9923453994), 10-digit format
12	phone	high	[12] alternate phone numbers (9052989121, 9458815226), 10-digit Indian format

Notes: Yatra.com 2019 breach — 13 columns total, 12 contain PII (names, email, addresses, phone). Column [0] is auto-generated user_id (skip). Breach context confirms Indian travel booking platform with Indian address/phone data.

12.csv

12 columns98,931 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ signs and match email format (Gmail, Yahoo.co.in); clearly email addresses
2	suffix	high	[2] values are 'Mr', 'Mr.', 'Ms' — salutation/title prefixes
3	firstName	high	[3] values are common given names (Subbiah, rajit, Rohit, saloni)
4	lastName	high	[4] values are surnames (Ramiah, venkataramanamurthy, singh, Kashyap, sinha)
5	address1	high	[5] values are street addresses (371 SFS FLATS HAUZ KHAS, Flat No. 100, etc.)
6	city	high	[6] values are Indian city names (chembur — Chembur, Mumbai)
7	city	high	[7] values are Indian city names (NEW DELHI, Ranchi, mumbai)
8	state	high	[8] values are Indian states (Delhi, Jharkhand, Maharashtra)
9	country	high	[9] values are 'India' and 'IND' — country codes/names
10	zip	high	[10] values are Indian postal codes (110016, 834002, 400074) — 6-digit PIN codes
11	phone	high	[11] values are 10-digit Indian mobile numbers (9830658682, 9979862072, etc.)
12	phone	high	[12] values are 10-digit Indian mobile numbers (8797758664, 9386751758) — alternate/secondary phone

Notes: Yatra 2019 travel booking breach. Column [0] is a numeric user ID (skip). Columns [6] and [7] both contain city data — likely city appears twice or [6] is a secondary city field. All records are Indian with Indian addresses, phone formats (+91 country code implicit in 10-digit numbers), and Indian email providers (yahoo.co.in, rediffmail.com). Breach context confirms Indian travel platform data.

13.csv

12 columns99,169 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] Values contain @ signs and match standard email format (gmail.com, rediffmail patterns typical of Indian users)
2	suffix	high	[2] Header 'Mr.' and values are salutations/titles (Mr, Mr.)
3	firstName	high	[3] Values are common given names (Tapeesh, Abhishek, ardhendu, sandeep, Shashank, KRISHAN)
4	lastName	high	[4] Values are surnames (Gupta, panda, patil, Chansoria, GOSWAMI)
5	address1	high	[5] Values are street addresses and building identifiers (3043 Pocket B4 Vasant Kunj, plot 21, T7 Imperial Residency, D-486)
6	address2	high	[6] Values are secondary address components (HSR Layout, TAGORE GARDEN EXTN) or empty
7	city	high	[7] Values are Indian city names (New Delhi, mau, bhubaneswar, baroda, Bangalore)
8	state	high	[8] Values are Indian states/provinces (Delhi, Uttar Pradesh, Orissa, Gujarat, Karnataka)
9	country	high	[9] Values are country codes/names (India, IND, IN)
10	zip	high	[10] Values are 6-digit Indian PIN codes (110070, 275101, 751012, 391775, 560034, 110027)
11	phone	high	[11] Values are 10-digit Indian mobile numbers (9818657776, 9999979468, 9919661666, 8763216420)
12	phone	high	[12] Values are 10-digit alternate/secondary phone numbers or empty (2667266608, 7381195997)

Notes: Yatra 2019 breach — Indian travel booking platform. 13 columns total, 12 contain PII (names, emails, addresses, phones, location). Column [0] contains numeric user IDs and is skipped as internal identifier. All addresses, phone numbers, and email providers confirm Indian origin. Record structure matches expected user account data from travel booking platform.

14.csv

13 columns98,992 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
0	skip	high	[0] numeric sequence (3713924–3713930), internal user IDs
1	email	high	[1] all values contain @ symbol, email addresses from Indian providers (yahoo.com, rediffmail.com, gmail.com)
2	suffix	high	[2] values are titles: 'Ms', 'Mr', 'Mr.' — salutation/suffix field
3	firstName	high	[3] common given names (SHEETAL, VINOD, SHASHI, ashok, Rohit, manish)
4	lastName	high	[4] surnames (RAJPUT, SHARMA, SHEKHAR, jain, Shinde, Chavan)
5	address1	high	[5] street addresses (916 MAHALAXMI NAGAR, G137A Sector 10 DLF, 754 GULABI BAGH)
6	address2	medium	[6] secondary address component, appears to be building/landmark (NEW NKS HOSP, vaiduwadi)
7	city	high	[7] Indian city names (Faridabad, DELHI, Pune, Indore)
8	state	high	[8] Indian states (MADHYA PREDESH, Haryana, Delhi, Maharashtra)
9	country	high	[9] country codes/names: 'IN', 'India', 'IND'
10	zip	high	[10] 6-digit Indian postal codes (452010, 121006, 110007, 411007, 411013)
11	phone	high	[11] 10-digit Indian mobile numbers (9893091064, 9446917384, 9350447442, 9609802185)
12	phone	high	[12] 10-digit Indian phone number (8959848488), alternate/secondary phone

Notes: Yatra 2019 breach: 13 columns, all contain PII. File structure is CSV without explicit headers but column positions match travel booking user records (ID, email, name components, full address with Indian states/cities/postal codes, dual phone numbers). All values consistent with Indian user accounts from yatra.com.

15.csv

11 columns97,611 rows

File structure

Format: CSV·Delimiter: comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] header '[email protected]' is an email; all values contain @ and are email addresses
2	suffix	high	[2] header 'Mr'; values are titles (Mr, Mr., Mr) — salutation/suffix field
3	firstName	high	[3] header 'Bhoj'; values are given names (Bhoj, Pulin Das, anurag, mahendra, Sidharth, sameer)
4	lastName	high	[4] header 'Sao'; values are family names (Sao, bhardwaj, Patel, Handa, chauhan, SEKARAN)
5	address1	high	[5] street/primary address lines (Chakardhar Nagra Bangla Para, vijaynagar, C/33 Rameshwar 3rd Flr S V Road, ghasiyawas radhanpur, apartment addresses, Yatra.Com office)
6	address2	high	[6] secondary address component (delhi, Mumbai, cross streets like '10th cross BTM 1st stage')
7	city	high	[7] header 'Raigarh'; values are Indian cities (Raigarh, delhi, Mumbai, radhanpur, TRICHY, Gurgoan)
8	state	high	[8] header 'Chhattisgarh'; values are Indian states (Chhattisgarh, Maharashtra, Gujarat, Tamilnadu, karnatka)
9	country	high	[9] header 'IN'; values are country codes/names (IN, IND, India)
10	zip	high	[10] header '496001'; values are 5-6 digit Indian postal codes (496001, 400054, 385340, 621216, 560029)
11	phone	high	[11] header '9762162480'; values are 10-digit Indian mobile numbers starting with 9

Notes: 13 columns total, 11 contain PII (email, name components, full address, phone). Column [0] is numeric user ID (skip). Column [12] contains sparse numeric values — appears to be an internal reference or secondary ID (skip). Breach context confirms Indian travel booking platform with personal account data including contact info and residential addresses.

16.csv

12 columns98,904 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ signs and match email format (yahoo.com, gmail.com, etc.)
2	suffix	high	[2] header 'Mr', values are salutations/titles (Mr, Mr.)
3	firstName	high	[3] values are common given names (VIKASH, SAAGAR, Anubinda, BASANTA, JAHNAVI)
4	lastName	high	[4] values are surnames (KUMAR, Banshkar, Patra, NAYAK, MARATHE)
5	address1	high	[5] values are street addresses (AT+ PO - JALPURA, Barjhai post panagar, D 601 REGENCY, etc.)
6	address2	high	[6] values are secondary address components (PS +DIST- ARWAL, spaces suggesting address line 2)
7	city	high	[7] values are Indian city names (ARWAL, jabalpur, THANE, Thane)
8	state	high	[8] values are Indian states (BIHAR, Madhya Pradesh, Maharashtra)
9	country	high	[9] values are country codes/names (IN, India, IND)
10	zip	high	[10] values are 6-digit Indian PIN codes (804401, 483220, 401202, 400607)
11	phone	high	[11] values are 10-digit Indian mobile numbers (7305510321, 8699750340, 9898321401, 9755852574)
12	phone	high	[12] values are 10-digit Indian phone numbers (9324532709, 9920696417), alternate contact number

Notes: Yatra 2019 breach — Indian travel booking platform. Column [0] is numeric user_id (skip). Columns [11] and [12] both map to phone as alternate contact numbers. All addresses, names, and contact details are Indian in origin.

17.csv

12 columns99,257 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] All values contain @ symbol and match email address format (Indian domains: sbi.co.in, yahoo.com, gmail.com)
2	suffix	high	[2] Values are 'Mr', 'Mr.', 'Mr' — salutation/title prefix
3	firstName	high	[3] Values are common Indian given names (Sumit, Arun, Raunak, KESHAV)
4	lastName	high	[4] Values are Indian surnames (Lakhotiya, DASARI, Rana, Agrawal, SHENDE)
5	address1	high	[5] Street-level addresses (2b Rajkamal Complex, B-22 East Uttam Nagar, 11 SOMWAR PETH)
6	address2	high	[6] Secondary address components (Panchsheel Square Dhantoli, sri nagar colony)
7	city	high	[7] Indian city names (Nagpur, Hyderabad, New Delhi, KARAD)
8	state	high	[8] Indian states/provinces (Maharashtra, Andhra Pradesh, Delhi)
9	country	high	[9] Country indicators (IN, IND, India)
10	zip	high	[10] Indian postal codes (440012, 500045, 110059, 415110 are valid PIN formats)
11	phone	high	[11] Indian mobile phone numbers (10 digits starting with 9: 9448993063, 9869345389, 9703580777, 9876644001, 9311056668)
12	phone	high	[12] Secondary phone numbers including landlines (040-44430777 is Hyderabad area code, 9960196954 is mobile)

Notes: 13 columns total. Column [0] is numeric user_id (skip). Columns [1]–[12] contain personal PII. Data structure confirms Yatra travel platform breach with Indian user records containing contact and address information.

18.csv

12 columns99,136 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ symbols and match email address patterns (gmail.com, yahoo.com, accenture.com, etc.)
2	suffix	high	[2] header 'Mr', consistent salutation/title prefix values
3	firstName	high	[3] values are common given names (SHANKAR, Mohamed Saifulla, Khawar, sushant)
4	lastName	high	[4] values are surnames (MISHRA, Shakeel, Hussain, Nethala, shukla)
5	address1	high	[5] street/mailing address values (marble mkt trikuta nagar jammu, H No: 9-7-8/7, Shivajinagar, etc.)
6	address2	high	[6] secondary address line values (P O Lawsons Bay, banda(u.p.), main road)
7	city	high	[7] Indian city names (jammu, Visakhapatnam, lucknow, VIJAYAWADA)
8	state	high	[8] Indian state names (Jammu and Kashmir, Uttar Pradesh, Andhra Pradesh)
9	country	high	[9] country codes and names (IND, India)
10	zip	high	[10] Indian PIN codes (180012, 226001, 520001) — numeric postal codes
11	phone	high	[11] 10-digit Indian mobile phone numbers (9003698543, 7305591205, 9960517609, etc.)
12	phone	high	[12] alternate 10-digit Indian phone numbers (9815926631, 9450169787) — secondary contact

Notes: 13 columns total, 12 contain PII. Column [0] is numeric user ID — skipped as internal identifier. Breach context confirms Indian travel booking platform (Yatra.com) with Indian addresses, states, PIN codes, and phone numbers. No header row present in data.

19.csv

10 columns96,370 rows

File structure

Format: CSV·Delimiter: comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ signs and email domains (yahoo.in, rediffmail.com, gmail.com)
2	suffix	high	[2] header pattern matches salutation/title; values are 'Mr.' and 'Mr'
3	firstName	high	[3] values are common Indian given names (siddhartha, santhosh, ARIJEET, nongthombam)
4	lastName	high	[4] values are Indian surnames (singh, RAIKAR, kangleinganba)
5	address1	high	[5] values contain street addresses and landmarks (varuna, sunrise town, chowkaghat)
7	city	high	[7] values are Indian city names (varanasi, chennai, Imphal)
8	state	high	[8] values are Indian state names (Uttar Pradesh, Manipur)
9	country	high	[9] values are 'India' and 'IN' country codes
10	zip	high	[10] values are 6-digit Indian postal codes (211002, 795001)
11	phone	high	[11] values are 10-digit Indian mobile numbers (9415015092, 8756538111, etc.)

Notes: Yatra 2019 breach: Indian travel booking platform. Column [0] is numeric user ID (skip). Columns [6] and [12] are empty (skip). Total PII columns: 10 of 13.

2.csv

12 columns98,870 rows

File structure

Format: CSV·Delimiter: comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] header 'email', values contain @ symbols and match email format (gmail.com, rediffmail.com, yahoo.co.in)
2	suffix	high	[2] header 'salutation/title', values are 'Mr' — standard name suffix
3	firstName	high	[3] header 'first_name', values are common given names (Sandhya, sahil, prabhat, NITIN, Samidurai)
4	lastName	high	[4] header 'last_name', values are surnames (Gunjote, gaikwad, kumar, GUPTA, Nadarajan)
5	address1	high	[5] header 'address', values are street addresses (1/7 ram nager, K61/119 SAPTSAGAR, 7 1st Floor Kamatchiamman Colony)
6	address2	high	[6] header 'address2', values are secondary address components (wagle estate behind r p compnay thane w, Sriramapuram)
7	city	high	[7] header 'city', values are Indian city names (thane, VARANASI, Chennai, Bangalore)
8	state	high	[8] header 'state', values are Indian state names (Maharashtra, Uttar Pradesh, Tamilnadu, Karnataka)
9	country	high	[9] header 'country', values are country codes/names (IND, India, IN)
10	zip	high	[10] header 'PIN/postal_code', values are 6-digit Indian postal codes (400604, 221002, 600026, 560021)
11	phone	high	[11] header 'mobile_phone', values are 10-digit Indian phone numbers (9873323693, 8886801515, 9619222942, 9950674190)
12	phone	high	[12] header 'alternate_phone', values are 10-digit Indian phone numbers (67341600, 9198418199) — secondary phone field

Notes: Yatra-2019 breach. Column [0] is numeric user_id (skip). All 13 columns analyzed. 12 PII columns identified. Data is entirely Indian travel platform user records with standard contact information and address fields.

20.csv

13 columns95,946 rows

File structure

Format: CSV·Delimiter: comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
0	skip	high	[0] header '4066017', values are sequential numeric IDs (4066018, 4066019, etc.) — internal customer/user identifiers
1	email	high	[1] header '[email protected]', all values are valid email addresses with @ symbol (yahoo.co.in, gmail.com, hotmail.com, etc.)
2	suffix	high	[2] header empty, values are titles: 'Mr', 'Mr.', 'Mr' — salutation/suffix field
3	firstName	high	[3] header 'reetagupta', values are given names: 'RAHUL', 'DRTG', 'megh', 'mohankumar', 'Geeta' — first names
4	lastName	high	[4] header empty, values are surnames: 'CHAUDHARY', 'CHANDRAMOHAN', 'singh', 'N', 'kolkar' — last names
5	address1	high	[5] header '1112seergovardhanpur', values are street addresses: 'MPHASIS LTD', '3 CITY PARK SAMA', 'AKE Road NO3 Tiruchengode', 'shri venkateshwara residency' — primary address lines
6	address2	medium	[6] header 'Enter Address 2', mostly empty with occasional secondary address data ('Namakkal', '313/7 B&C colony R&D Pashan')
7	city	high	[7] header 'varanasi', values are Indian city names: 'MANGALORE', 'VADODARA', 'koderma', 'Namakkal', 'bangalore'
8	state	high	[8] header empty, values are Indian states: 'Karnataka', 'Gujarat', 'Jharkhand', 'Tamil Nadu' — mailing_state equivalent
9	country	high	[9] header empty, all values are 'IND' or 'India' — country code/name field
10	zip	high	[10] header empty, values are 6-digit Indian PIN codes: '575001', '390008', '825413', '637211', '562157' — postal codes
11	phone	high	[11] header '9795510893', values are 10-digit Indian mobile numbers: '9901121130', '9212412662', '9567228210' — primary phone
12	phone	high	[12] header empty, values are 10-digit Indian mobile numbers: '9430314543', '9171224815', '9341704489' — alternate/secondary phone

Notes: 13 columns total. Yatra 2019 breach: Indian travel booking platform. Data includes user IDs, emails, names with titles, complete Indian addresses (street, city, state, country, PIN), and primary + secondary mobile phone numbers. All addresses and phone numbers confirm Indian origin. Column [0] is internal customer ID (skipped). Columns [11] and [12] are both phone fields (primary and secondary mobile contacts).

21.csv

13 columns99,318 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
0	skip	high	[0] numeric user IDs (4174487, 4174489, etc.) — internal identifiers, not PII
1	email	high	[1] all values contain @ symbol and are valid email addresses ([email protected], [email protected], etc.)
2	suffix	high	[2] salutation/title values: 'Ms', 'Mr', 'Mr.' — clearly honorific suffixes
3	firstName	high	[3] given names (sivakumar, Nisha, AYUSH, SANGAY, Amit) — first name values in Indian context
4	lastName	high	[4] family names (Sharma, KHURANA, LAMA, EMANI) — last name values, though some rows contain anomalies
5	address1	high	[5] street addresses (Vrajbhumi soc, A-1382 BAPU NAGAR BHILWAR, 6/6 mahant layout) — primary address line
6	address2	medium	[6] mixed secondary address/contact data ([email protected], bull temple road, chola block, phone 9963785987) — appears to be secondary address or overflow field
7	city	high	[7] Indian city names (Vadodara, bhilwara, New Delhi, bangalore) — city field
8	state	high	[8] Indian state names (Gujarat, Rajasthan) and locality descriptors — state/region field
9	country	high	[9] country code 'IND' and empty values — country field
10	zip	high	[10] Indian postal codes (390021, 311001) — PIN/zip code field
11	phone	high	[11] 10-digit Indian mobile numbers (9442333343, 9558724370, 8058757575) — primary phone field
12	phone	high	[12] 10-digit Indian mobile numbers (9558724370, 8058757575) — alternate/secondary phone field

Notes: 13 columns total. Data structure matches Yatra breach context: Indian user account records with numeric user IDs, email addresses, names, Indian addresses (street, city, state, PIN), and mobile phone numbers. No hasHeader flag present in raw data. Column 6 contains data quality issues with mixed field types (emails, addresses, phones) suggesting possible data corruption or secondary contact information.

22.csv

12 columns97,711 rows

File structure

Format: CSV·Delimiter: comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] header '[email protected]' is email; all values contain @ and are valid email addresses
2	suffix	high	[2] header 'Mr'; all values are titles/salutations (Mr, etc.)
3	firstName	high	[3] header 'Nitin'; values are given names (Amos, Tathagata, sainmi, Manoj)
4	lastName	high	[4] header 'Gupta'; values are family names (Samson, Sureddy, Ghosh, Kumar)
5	address1	high	[5] header '45 Old Ashoka Garden'; values are street addresses (NSK Street, Mohammad Villa, etc.)
6	address2	high	[6] header ' '; values are secondary address components (apt/area names: koperkhairene)
7	city	high	[7] header 'Bhopal'; values are Indian cities (Chromepet Chennai, Hyderabad, navi mumbai, PATHANKOT)
8	state	high	[8] header 'Madhya Pradesh'; values are Indian states/provinces (Tamil Nadu, Andhra Pradesh, Punjab, Maharashtra)
9	country	high	[9] header 'IND'; all values are 'IND' (India country code)
10	zip	high	[10] header '462023'; values are 6-digit Indian postal codes (600044, 500072, 145001, 401202)
11	phone	high	[11] header '9893084352'; values are 10-digit Indian mobile numbers
12	phone	high	[12] header '9893084352'; values are 10-digit Indian mobile numbers (alternate/secondary phone)

Notes: 13 columns total. Column [0] is numeric user ID (skip). Columns [11] and [12] both contain phone numbers; [12] appears to be alternate/secondary mobile. Indian travel booking platform breach with complete address and contact information.

23.csv

12 columns99,132 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] All values contain @ signs and match email format (gmail.com, yahoo.com, rediffmail patterns)
2	suffix	high	[2] Values are 'Mr', 'Ms', 'Mr.' — salutation/title indicators
3	firstName	high	[3] Values are common given names (jagdish, yashmeen, SUNIL, anil, Ravi, venkat)
4	lastName	high	[4] Values are surnames (mamgai, kaur, KUMAR, satish, Sonule)
5	address1	high	[5] Values are street addresses (E 499 sc 11 pratap vihar, flat no-240 dwarka delhi, b-84 indupuram aurangabad)
6	address2	medium	[6] Secondary address component; mostly empty/spaces but contains some location data (kothapet guntur)
7	city	high	[7] Values are Indian city names (ghaziabad, delhi, Visakhapatnam, mumbai, guntur)
8	state	high	[8] Values are Indian states (Uttar Pradesh, Delhi, Andhra Pradesh, Maharashtra, Punjab)
9	country	high	[9] All values are 'IND' — country code for India
10	zip	high	[10] Values are 6-digit Indian PIN codes (201001, 110075, 530013, 400072, 522001, 143001)
11	phone	high	[11] Values are 10-digit Indian mobile numbers (9910629882, 8826955689, 9502889933, 9819382329)
12	phone	high	[12] Values are 10-digit Indian mobile numbers — alternate/secondary phone field

Notes: 13 columns total, 12 contain PII (email, suffix, firstName, lastName, address1, address2, city, state, country, zip, phone×2). Column [0] appears to be user_id (numeric sequential identifiers like 4384367-4384371) and is skipped as internal ID. No header row present in data.

24.csv

13 columns99,047 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
0	skip	high	[0] header '3674926', values are sequential numeric IDs (3674927, 3674928, etc.) — internal user/customer IDs
1	email	high	[1] header contains email address, all values contain @ sign and match email format ([email protected], [email protected], etc.)
2	suffix	high	[2] header 'Mr', values are salutations/titles (Mr, Mr., etc.)
3	firstName	high	[3] header 'sunil', values are given names (Prabhjot, chongkholun, Najmul, pratik)
4	lastName	high	[4] header 'kuriakose', values are surnames (Gill, haokip, Khan, amar)
5	address1	high	[5] header 'Puthiyadathuparambil', values are street addresses (17/4 zorawar enclave, C-53 New Raipur Rd, etc.)
6	address2	high	[6] header 'Puthiyadathuparambil', values are secondary address components (mall road near church, sadar hills dist.)
7	city	high	[7] header 'Kannur', values are Indian city names (Jalandhar, manipur, Kolkata)
8	state	high	[8] header 'Kerala', values are Indian states/provinces (Punjab, manipur, West Bengal)
9	country	high	[9] header 'IND', values are country codes/names (IND, IN, India)
10	zip	high	[10] header '670632', values are 6-digit postal codes (144005, 795001, 700084) — Indian PIN codes
11	phone	high	[11] header '9.19496E+11', values are 10-digit Indian mobile numbers (8123150766, 8872489814, 9415050816, 9957570748, 8657109081)
12	phone	high	[12] header 'Kerala', values are 10-digit phone numbers (9041660921, 8861797747) — alternate/secondary phone field

Notes: 13 columns total, 12 contain PII. Column 0 is internal user ID (skip). Columns 11 and 12 both contain phone numbers, likely mobile and alternate phone as noted in breach context. Data confirms Indian travel booking platform with Indian addresses, phone numbers, and email providers.

25.csv

12 columns98,808 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
0	skip	high	[0] Numeric user IDs (3781279, 3781280, etc.) — internal identifiers, not usernames
1	email	high	[1] Values contain @ symbol and email domains (gmail.com, sify.com, hotmail.com, zyduscadila.com)
2	suffix	high	[2] Values are 'Mr.' and 'Mr' — salutation/title indicators
3	firstName	high	[3] Values are given names (Biju, Ignatius, Felix, Abhishek, PRASAD, NITISH)
4	lastName	high	[4] Values are family names (George, Richard, Dupont, Dani, KAPPAZHASANKARA, AMIN)
5	address1	high	[5] Values are street addresses (26 GANDHI NAGAR DINDIGUL ROAD TRICHY, 21-C Vrindavan 2, IPSIT,21B, 80/1 A+B)
6	address2	high	[6] Values are secondary address components (Panchavati, Pashan Rd, Varanasi soc, warje)
7	city	high	[7] Values are Indian city names (trichy, Pune)
8	state	high	[8] Values are Indian states (Tamilnadu, Mah/Maharashtra)
9	country	high	[9] Values are 'India' and 'IN' — country code and name
10	zip	high	[10] Values are 6-digit Indian PIN codes (620001, 411008, 411058)
11	phone	high	[11] Values are 10-digit Indian mobile numbers (9974051970, 9841322640, 9969352104, etc.)

Notes: 13 columns total. Column 12 is empty. Breach context confirms Indian travel booking platform with Indian addresses, phone numbers, and email providers. All PII fields identified and mapped.

26.csv

12 columns99,260 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
0	skip	high	[0] numeric user IDs (3886583, 3886584, etc.) — internal identifiers, auto-generated
1	email	high	[1] all values contain @ symbol, standard email addresses (gmail.com, yahoo.com, rediffmail.com)
2	suffix	high	[2] salutation/title values ('Mr') — matches suffix field type
3	firstName	high	[3] personal given names (Deokumar, hitendra, RAKESH, venkatasi)
4	lastName	high	[4] personal family names (Singh, pawar, TIWARI, bommarajupeta)
5	address1	high	[5] street addresses (Vighnharta Colony, H.NO. 107, 2ND FLOOR, 19-4-121/e3)
6	address2	high	[6] secondary address lines (panchavati Gas Agency Road, GALI NO. 2, ASHOK VIHAR, RAILWAY ROAD)
7	city	high	[7] Indian city names (Dhule, GURGAON)
8	state	high	[8] Indian states (maharashtra, HARYANA)
9	country	high	[9] country code 'IN' (India), consistent with breach context
10	zip	high	[10] Indian postal codes/PIN codes (424002, 122001) — 6-digit format
11	phone	high	[11] Indian mobile phone numbers (9962266133, 9246647888, etc.) — 10 digits starting with 7-9

Notes: 12 columns total, 11 contain PII. Breach context (Yatra 2019, Indian travel platform) confirmed by Indian addresses, phone numbers, email providers (rediffmail.com, yahoo.co.in), and city/state data. No header row present in sample.

27.csv

12 columns96,519 rows

File structure

Format: CSV·Delimiter: comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] header '[email protected]' is sample data; values contain @ signs and are valid email addresses
2	suffix	high	[2] header 'Mr.' is sample data; values are salutations (Mr., Mrs)
3	firstName	high	[3] header 'Prince' is sample data; values are common given names (vijaylakshmi, Pradyumna, ramchandraprasad, AndrewWilson, Balu)
4	lastName	high	[4] header 'Chakma' is sample data; values are surnames (srikanth, Mohapatra, kalavala, Cornforth, Pathangey)
5	address1	high	[5] header is sample data; values are street addresses (Bodhicariya, Maitree Nagar; ashok nagar; a-504,plot no -23)
6	address2	high	[6] header is sample data; values are secondary address components (PO:Khandagiri, Bilandpur, 110colleg road)
7	city	high	[7] header 'Kolkata' is sample data; values are city names (chennai, Bhubaneswar, navi mumbai, Scottsdale, Gorakhpur)
8	state	high	[8] header 'West Bengal' is sample data; values are state/province codes and names (Tamilnadu, Odisha, Maharashtra, AZ, UP)
9	country	high	[9] header 'India' is sample data; values are country names/codes (IN, India, United States of America)
10	zip	high	[10] header '700135' is sample data; values are postal codes (600008, 751030, 400706, 85259, 273001)
11	phone	high	[11] header '9038432966' is sample data; values are 10-digit Indian mobile numbers (9940074243, 9937563105, 9619394141)
12	phone	high	[12] header is sample data; values are phone numbers (9436121525), appears to be alternate/secondary phone field

Notes: File contains Indian travel platform user records. Column [0] (numeric user IDs like 3991230) is skipped as internal identifier. All columns except [0] map to PII fields. Context confirms Indian addresses, Indian phone numbering, and Indian email providers.

28.csv

11 columns99,455 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] All values contain @ symbol and match email format (gmail.com, yahoo.com, yahoo.co.in domains)
2	suffix	high	[2] Header 'Mr' and all sample values are salutations/titles (Mr)
3	firstName	high	[3] Values are common given names (sahil, ajay, Nitesh, Sajad, Tarun)
4	lastName	high	[4] Values are surnames (singla, jain, Mishra, bhat, Chanana)
5	address1	high	[5] Street addresses with building/plot numbers (466 sector 31, 357 tagan street, samanvay nagar, JG1-105 B, Yatra.Com office)
6	address2	high	[6] Neighborhood/area names (Vikas Puri, ameerpet)
7	city	high	[7] Indian city names (gurgaon, khatauli, bhopal, new delhi)
8	state	high	[8] Indian state/territory names (haryana, Uttar Pradesh, Madhya Pradesh, delhi)
9	country	high	[9] Country codes (IN, IND)
10	zip	high	[10] Indian PIN codes (122001, 251201, 462023, 110018)
11	phone	high	[11] Indian mobile phone numbers (10-digit format: 9819996726, 9811667166, 9412711594, etc.)

Notes: 13 columns total, 11 contain PII. Column [0] is numeric user ID (skip). Column [12] is empty (skip). All addresses are Indian, consistent with Yatra.com breach context. Salutation field mapped as suffix.

29.csv

12 columns95,992 rows

File structure

Format: CSV·Delimiter: comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] header '[email protected]' is an email address; all sample values contain @ signs and are valid email addresses
2	suffix	high	[2] values are 'Mr', 'Mr.', 'Dr' — salutation/title suffixes
3	firstName	high	[3] header 'ARUNDABIR'; values are given names (Sadanand, PEEYUSH, SAMI, ASEM, Pradipta)
4	lastName	high	[4] values are surnames (Gharat, SAJJAD, SUNILKUMARSINGH, taj, KDas)
5	address1	high	[5] street/building-level address component (Growel House, SAI SECURITIES, A-162/32, Hostel No.2)
6	address2	high	[6] secondary address component (Dapodi, SIMALGAIR BAZAAR, Nandalaya,Subachani Road,Tinsukia,Assam)
7	city	high	[7] values are Indian city names (Pune, DELHI, THOUBAL, Silchar)
8	state	high	[8] values are Indian state names (Delhi, Manipur, Maharashtra, Madhya Pradesh)
9	country	high	[9] values are 'India' and 'IND' — country designator
10	zip	high	[10] values are 6-digit Indian postal codes (110053, 795138, 400706, 452001)
11	phone	high	[11] values are 10-digit Indian mobile phone numbers
12	phone	high	[12] alternate phone numbers; 10-digit Indian mobile format (9953262896, 9004795001)

Notes: Yatra 2019 breach. 13 columns total, 12 contain PII. Column [0] is numeric user_id (skipped). Addresses span Indian cities/states with postal codes. Phone numbers are Indian mobile format. Breach context confirms Indian travel booking platform data.

3.csv

13 columns99,171 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
0	skip	high	[0] numeric user IDs (3116178, 3116179, etc.), internal identifier pattern
1	email	high	[1] values contain @ signs, email addresses ([email protected], [email protected], etc.)
2	suffix	high	[2] salutation/title values (Mr), maps to suffix field
3	firstName	high	[3] given names (Pardeep, thangjam, Rohit, MOHAN, VelluMadhom)
4	lastName	high	[4] family names (Khatri, bishwarjitsingh, Sharma, KUMAR, Rajen)
5	address1	high	[5] street addresses (V. % P. O. Ismaila Haryana 9Beswa, c-43 Ganga CHS, PCDA(NC)JAMMU)
6	address2	high	[6] secondary address/locality lines (Sane Guruji Nagar Mulund E), often empty
7	city	high	[7] Indian city names (Distt. Rohtak, Mumbai, JAMMU)
8	state	high	[8] Indian states (Haryana, Maharastra, Jammu and Kashmir)
9	country	high	[9] country codes and names (India, IN, IND)
10	zip	high	[10] Indian PIN codes (124517, 400081, 180003)
11	phone	high	[11] 10-digit Indian mobile numbers (9416206295, 9716555414, 9780323332, etc.)
12	phone	high	[12] alternate 10-digit Indian phone numbers (9469000923), often empty

Notes: Yatra travel booking platform breach (2019). 13 columns total, 11 contain PII. No header row present in data. All addresses are Indian, phone numbers follow Indian format (10 digits starting with 7-9), email providers include Indian domains (yahoo.co.in, rediffmail.com). Columns 0 is user_id (skip). Columns 5-6 are multi-part address. Columns 11-12 are primary and alternate phone numbers.

30.csv

9 columns97,592 rows

File structure

Format: CSV·Delimiter: comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ signs and email domains (.yahoo.co.in, @gmail.com, @yahoo.com), clearly email addresses
2	suffix	high	[2] header empty but values are 'Mrs', 'Mr' — salutation/title suffixes
3	fullName	high	[3] values are full names like 'Anju Puri', 'jayantha sanjeeva shetty', 'nirmala saagar' — full name field
4	lastName	high	[4] values are surnames: 'Shelat', 'Balram', 'Verma' — last name field
5	address1	high	[5] values are street addresses like 'pari house, bunglow no.:4' and 'No,1 Nolambur main road'
6	address2	medium	[6] values include apartment/suite details like 'A/2-C/4 golden fortune mogappair w' — secondary address
7	city	high	[7] header empty but values are Indian cities: 'mumbai', 'chennai', 'Ahemdabad', 'BANGALORE', 'delhi'
11	phone	high	[11] values are 10-digit Indian mobile phone numbers like '9870593838', '9930240545', '9980673487'
12	phone	high	[12] values are 10-digit Indian phone numbers like '8826749428' — alternate/secondary phone

Notes: 13 columns total. Yatra 2019 breach — Indian travel booking platform. Columns [0], [8], [9], [10] are empty or non-PII (internal IDs, flags) and excluded. Columns [5] and [6] both map to address fields per Indian address structure (street + apt/suite). No state, zip, country, DOB, or SSN fields present in this file sample.

31.csv

12 columns99,256 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ symbols and match email format (gmail.com, yahoo.com, yahoo.co.in)
2	suffix	high	[2] header 'Mr', values are salutations/titles
3	firstName	high	[3] values are common given names (Ashraf, Vishu, ANIL, Sandeep, manoj, RAKESH)
4	lastName	high	[4] values are surnames (Shaikh, Kapoor, SURI, Pradhan, singh, MANJUNATH)
5	address1	high	[5] values are street addresses (139 Green Avenue, 22,1st Floor,Sena Vihar, sultanpuri, #58, plot no 287 rawatpur)
6	address2	medium	[6] column contains only spaces or empty values, consistent with optional address2 field
7	city	high	[7] values are Indian cities (Amritsar, Bangalore, delhi, BANGALORE, kanpur)
8	state	high	[8] values are Indian states (Punjab, Karnataka, Delhi, Uttar Pradesh)
9	country	high	[9] all values are 'IND' (India country code)
10	zip	high	[10] values are 6-digit Indian PIN codes (143001, 560043, 110086, 560078, 208019)
11	phone	high	[11] values are 10-digit Indian mobile numbers (9699925818, 7893414806, 9845062142, 9096333326, 8604092136)
12	phone	high	[12] values are 10-digit Indian mobile numbers, alternate/second phone number

Notes: 13 columns total, 12 contain PII. Column [0] is user_id (numeric identifier, skipped). Breach context confirms Indian travel booking platform with Indian addresses, phone numbers, and email providers. All address fields populated with valid Indian data.

32.csv

12 columns99,407 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ symbol and match email format ([email protected], [email protected], etc.)
2	suffix	high	[2] values are salutations/titles ('Mr.', 'Mr')
3	firstName	high	[3] values are given names (ganesh, kamal, Anisha, Parikshit, venkat, PRAKASH)
4	lastName	medium	[4] values appear to be surnames (krishnan, gulati, Parse, rangan, PATIL) though some entries are unclear or may be abbreviations
5	address1	high	[5] values contain street addresses (c-15 orange block orchrad, SRI RAM NAGAR COLONY, etc.) or are empty/NA
6	address2	medium	[6] secondary address field, mostly empty or 'NA', consistent with optional address2 column
7	city	high	[7] values are Indian city names (chennai, BAGALKOT, RAICHUR)
8	state	high	[8] values are Indian states (Tamil Nadu, Karnataka)
9	country	high	[9] values are 'IND' or 'India', indicating country field
10	zip	high	[10] values are 6-digit Indian postal codes (600026, 587101, 534001)
11	phone	high	[11] values are 10-digit Indian mobile numbers (9160126226, 9810484932, 9920079979, etc.)
12	phone	high	[12] secondary phone field with 10-digit Indian mobile numbers, consistent with alternate phone number column

Notes: Yatra-2019 breach file: Indian travel booking platform. Column [0] is numeric user ID (skip). All address, phone, and personal identifiers are Indian. Two phone columns present ([11] and [12]) mapping to primary and alternate phone numbers.

33.csv

13 columns99,276 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
0	skip	high	[0] Sequential numeric IDs (4484483, 4484484, etc.) — internal user_id identifiers
1	email	high	[1] Values contain @ signs, standard email format ([email protected], [email protected], etc.)
2	suffix	high	[2] Salutation/title values: 'Mr', 'Ms' — standard name suffix field
3	firstName	high	[3] Given names: 'mohd', 'HANIF', 'Rajat', 'hari', 'Rajesh', 'pooja' — first name component
4	lastName	high	[4] Family names: 'idrees', 'CHHATRIWALA', 'Singh', 'babu', 'Yadav', 'hagawane' — last name component
5	address1	high	[5] Street addresses: 'SHANTI NIKETAN SCTY', 'Chandni Agar, Sangam Naga' — primary address line
6	address2	medium	[6] Column appears empty in sample but positioned as secondary address field
7	city	high	[7] City names: 'MUMBAI', 'pune', 'Mumbai' — Indian cities
8	state	high	[8] State values: 'Maharashtra', 'Maharashtra' — Indian state codes/names
9	country	high	[9] Country codes: 'IND', 'India' — standardized to India
10	zip	high	[10] Indian postal codes: '400061', '411043', '400037' — PIN code format (6 digits)
11	phone	high	[11] 10-digit Indian mobile numbers: '9997579189', '9768378694', '9999012953' — primary phone
12	phone	high	[12] 10-digit Indian mobile numbers: '9768378694', '9604420117', '9619875434' — alternate/secondary phone

Notes: Yatra.com 2019 breach. 13 columns, 11 contain PII. Full Indian user records including contact details, address, and phone numbers. Two phone columns ([11] and [12]) both map to phone field as they represent primary and alternate contact numbers.

34.csv

11 columns96,873 rows

File structure

Format: CSV·Delimiter: comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] header '[email protected]' is an email address; all values contain @ and follow email format
2	suffix	high	[2] header 'Mr', values are salutations/titles (Mr, Mrs)
3	firstName	high	[3] header 'sunil', values are common given names (anupma, vicky, shubham)
4	lastName	high	[4] header 'kumar', values are common surnames (bhatnagar, rajak, arora)
5	address1	high	[5] header 'hno1b/49bstcollny', values are street addresses (hno patterns, 'a 1604 3rd floor', 'VIVEKANAND')
7	city	high	[7] header 'ganaur', values are Indian city names (delhi, sonepat, SULTANPUR, Bangalore)
8	state	high	[8] header 'Haryana', values are Indian state names (Delhi, Haryana, Uttar Pradesh)
9	country	high	[9] header 'IND', values are country codes/names (IND, India)
10	zip	high	[10] header '131101', values are 6-digit Indian postal codes (110033, 131001, 228001)
11	phone	high	[11] header '9812860304', values are 10-digit Indian mobile numbers
12	phone	high	[12] header '9812860304', values are 10-digit Indian mobile numbers (alternate phone)

Notes: 13 columns total, 10 contain PII. Column [0] is numeric user ID (skip). Column [6] is empty (skip). Yatra-2019 Indian travel booking breach; all addresses, phone numbers, and email providers confirm Indian origin.

35.csv

12 columns99,230 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ signs, match email format (gmail.com, rediffmail.com, bheltry.co.in)
2	suffix	high	[2] values are salutations/titles: 'Mr', 'Mrs', 'Mr.'
3	firstName	high	[3] values are given names: 'shikher', 'priyanka', 'lalit', 'ashish', 'KARUNANIDHY'
4	lastName	high	[4] values are family names: 'verma', 'sharma', 'luthra', 'modi', 'S'
5	address1	high	[5] values are street addresses: 'Mayur Vihar-III', 'kalander chowk', '19 meghna arcade', 'EZHIL NAGAR'
6	phone	high	[6] values are 10-digit Indian mobile numbers: '9898067155'
7	city	high	[7] values are Indian city names: 'Delhi', 'ahmendnagar', 'panipat', 'TRICHY', 'Ahmedabad'
8	state	high	[8] values are Indian states: 'Delhi', 'Maharashtra', 'Haryana', 'Tamil Nadu', 'Gujarat'
9	country	high	[9] all values are 'IND' (India country code)
10	zip	high	[10] values are Indian postal codes: '110096', '414003', '132103', '620014', '380008'
11	phone	high	[11] values are 10-digit Indian mobile numbers: '9212201486', '8446688741', '9812020026'
12	phone	high	[12] alternate phone column, values are 10-digit Indian mobile numbers matching [11] pattern

Notes: Yatra 2019 breach (Indian travel booking platform). Column [0] contains user IDs (skip). Columns [11] and [12] appear to be primary and alternate phone numbers — both mapped as phone. File lacks header row (hasHeader: false). All records contain Indian addresses, phone numbers, and email providers consistent with breach context.

36.csv

11 columns96,059 rows

File structure

Format: CSV·Delimiter: comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] header '[email protected]' is an email address; all sample values contain @ and are valid email addresses
2	suffix	high	[2] header 'Mr' and all values are 'Mr', 'Mr.' — salutation/title field
3	firstName	high	[3] header 'jothi' and sample values 'Namboodiri', 'abhishek', 'Hunijandi', 'bhupendra Singh', 'Mahendra' are given names; context confirms first name column
4	lastName	high	[4] header 'lakshmi' and sample values 'AGV', 'garg', 'Anthena', 'ranawat', 'Punmia' are family names; positioned after firstName
5	address1	high	[5] sample values '3-13-102/1, Madhuranagar', '1695 / room no 5,', 'Yatra Office', '118-H,Thiru flats,lakshmi' are street addresses; breach context confirms physical addresses included
7	city	high	[7] sample values 'HYDERABAD', 'Gurgaon', 'Gurgaon', 'chennai' are Indian city names
8	state	high	[8] sample values 'Andhra Pradesh', 'Haryana', 'Haryana', 'Tamil Nadu' are Indian state names
9	country	high	[9] sample values 'IND', 'India', 'India', 'IND', 'India' are country indicators
10	zip	high	[10] sample values '500013', '122002', '122003', '600116' are 6-digit Indian postal codes (PIN codes)
11	phone	high	[11] sample values '9094864296', '8886000022', '9953535282', '8009123', '7428814684', '9860203638' are 10-digit Indian mobile numbers
12	phone	high	[12] sample values '8886000022', '7428814684', '9445191807' are 10-digit Indian phone numbers; alternate/secondary phone column

Notes: 13 columns total; 11 contain PII (email, suffix, firstName, lastName, address1, city, state, country, zip, phone, alternate phone). Column [0] is numeric user_id (skipped). Column [6] is empty (skipped). Breach confirmed as Yatra 2019 with Indian user records containing contact and address information.

37.csv

6 columns99,377 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] All values contain @ symbol and match email format (yahoo.com, gmail.com domains)
2	suffix	high	[2] Values are 'Mr', 'Mr.' — salutation/title prefix
3	firstName	high	[3] Values are common Indian given names (jinu, cijoy, Sangeetha, Pramod, karthik)
4	lastName	high	[4] Values are surnames (garg, varghese, Kumar, mudaliar)
9	country	high	[9] Value is 'India'
11	phone	high	[11] All values are 10-digit Indian mobile numbers (8893212763, 9894939142, etc.)

Notes: File appears to be headerless CSV from Yatra 2019 breach. Columns [0], [5], [6], [7], [8], [10], [12] contain sparse/empty data and are treated as skip. Column [0] appears to be user_id (skip). Columns [5], [6] appear to be incomplete address/zip fragments. Remaining empty columns skipped. Total 13 columns, 6 contain PII.

38.csv

12 columns96,183 rows

File structure

Format: CSV·Delimiter: comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] header missing but values are email addresses with @ signs ([email protected], [email protected], [email protected])
2	suffix	high	[2] values are salutations/titles (Mr, Mr.) matching breach description of 'salutation/title'
3	firstName	high	[3] values are common given names (Jasmail, Christy, Anurag, Satyajitkumar, bhavesh)
4	lastName	high	[4] values are family names (Sidhu, Fernandez, Singh, kala)
5	address1	high	[5] street/house addresses (ST NO 2 SEC NO 13, A-68, mokram manzil, b.b ganj)
6	address2	high	[6] secondary address lines (South Extension Part 1) matching address2 pattern
7	city	high	[7] Indian city names (Malout, Gurgoan, cuttack, muzaffarpur)
8	state	high	[8] Indian state abbreviations/names (Punjab, Orissa, Bihar)
9	country	high	[9] country code/name (IND, India)
10	zip	high	[10] Indian PIN codes (152107, 753001, 842001) matching postal_code pattern
11	phone	high	[11] Indian mobile numbers (9317766144, 9711062778, 9431218870, 10-digit format)
12	phone	high	[12] alternate/secondary phone number (9317766144, duplicate pattern)

Notes: 13 columns total, 11 contain PII. Column [0] contains numeric user IDs (4804981, etc.) and mixed junk data — treated as skip. Breach context confirms Indian travel platform with user account records including addresses, phones, names matching observed data.

39.csv

11 columns99,330 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ signs, email addresses from Indian providers (gmail.com, outlook.com, yahoo.com)
2	suffix	high	[2] header value 'Dr.' and sample values 'Mr', 'Mr.', 'Mr' are common name suffixes/salutations
3	firstName	high	[3] header 'Tarundeep' with samples 'KISHOR', 'jigyasa', 'ABDUL', 'sudesh', 'yogesh' are given names
4	lastName	high	[4] header 'kaur' with samples 'KUNAL', 'srivastava', 'KF', 'subba', 'bhanushali' are surnames
5	address1	high	[5] values are street addresses (e.g., '1548,pushpac complex,sector-49-b,chandigarh', 'RAHAM KHAN', 'murmah tea estate')
7	city	high	[7] values are Indian city names: 'chandigarh', 'DARBHANGA', 'mirik'
8	state	high	[8] values are Indian states: 'Chandigarh', 'Bihar', 'West Bengal'
9	country	high	[9] values are 'India' or 'IND', country identifier
10	zip	high	[10] values are 6-digit Indian postal codes: '160047', '846004', '734214'
11	phone	high	[11] values are 10-digit Indian mobile numbers: '9872876818', '9716688666', '7838594981'
12	phone	high	[12] values are 10-digit Indian mobile numbers, alternate/secondary phone field

Notes: Yatra.com travel booking platform breach. Column [0] is numeric user ID (skipped). Column [6] is empty/blank (skipped). All PII fields identified: email, name components (suffix, first, last), full address (street, city, state, country, ZIP), and dual phone numbers.

4.csv

12 columns99,017 rows

File structure

Format: CSV·Delimiter: comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] header '[email protected]' is an email; all values contain @ and are valid email addresses
2	suffix	high	[2] header 'Mr'; all values are salutations/titles (Mr)
3	firstName	high	[3] values are common given names (ujjwal, vivek, prashant, priyanka, Sunil)
4	lastName	high	[4] values are surnames (gupta, tiwari, sangwan, vardhan, Sajnani)
5	address1	high	[5] values are street addresses (168,A.P.R.,Colony Katanga, 772,main market, etc.)
6	address2	medium	[6] values appear to be secondary address components (sec 27d, Brook Road Gadag Road, Nagar)
7	city	high	[7] values are Indian city names (Jabalpur, katni, chandigarh, Hubli, Ajmer)
8	state	high	[8] values are Indian states (Madhya Pradesh, Chandigarh, Karnataka, Rajasthan)
9	country	high	[9] all values are 'IND' (India country code)
10	zip	high	[10] values are Indian PIN codes (482001, 483770, 160019, 580020, 305001)
11	phone	high	[11] header '9811348731'; all values are 10-digit Indian mobile numbers
12	phone	high	[12] values are 10-digit phone numbers (alternate/secondary phone number)

Notes: 13 columns total, 12 contain PII. Column [0] is a numeric user ID (skip). Breach context confirms Indian travel platform with Indian addresses, phone numbers, and email providers. Address broken into components: street (address1), secondary (address2), city, state, country, postal code. Two phone columns: primary [11] and alternate [12].

40.csv

11 columns99,299 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ signs and match email format ([email protected], [email protected], etc.)
2	suffix	high	[2] values are titles/salutations (Mr, Mrs)
3	firstName	high	[3] header position and values are common given names (Santosh, Prashant, deepa, harmohan, NAMAN, Daya)
4	lastName	high	[4] header position and values are surnames (Gupta, Sharma, kabra, bhatia, KAUSHIK, Nand)
5	address1	high	[5] values are street addresses (champasari more, Sangam Vihar New Delhi, bougen villa aundh pune, h no 548 st no 5 guru nan, 31-SHIVAJI ENCLAVE)
7	city	high	[7] values are Indian cities (Siliguri, New Delhi, pune, patiala, LUCKNOW)
8	state	high	[8] values are Indian states (West Bengal, Delhi, Maharashtra, Punjab, Uttar Pradesh)
9	country	high	[9] values are country codes/names (IND, India)
10	zip	high	[10] values are Indian postal codes (734001, 110062, 411007, 147001, 226016)
11	phone	high	[11] values are 10-digit Indian mobile numbers (9832043310, 9968238272, 9552570365, 9569585244, 9674304005)
12	phone	high	[12] values are 10-digit Indian phone numbers, appears to be alternate phone field (9832043310, 29913128, 9552570365, 9569585244, 9674304005)

Notes: Yatra 2019 breach of Indian travel booking platform. Column [0] is numeric user ID (skip). Column [6] is empty/blank (skip). Columns [1], [11], [12] represent email and two phone number fields. All addresses confirmed as Indian with Indian postal codes and states.

41.csv

12 columns99,313 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ symbols and match email format (gmail.com, rediffmail.com, yahoo.com)
2	suffix	high	[2] header 'Mr', values are salutations/titles (Mr, Mrs.)
3	firstName	high	[3] values are common given names (zeeshana, Manas, SUKHENDU, James, Shiv)
4	lastName	high	[4] values are surnames (mushtaq, Bhattacharjee, CHANDA, Dillon, Mani)
5	address1	high	[5] values are street addresses (New Rausa Patna Colony, kulgachia, K-509 Near Mata)
6	city	high	[6] values are Indian city names (howrah, Cuttack, kolkata, Delhi)
7	city	high	[7] values are Indian city names (Cuttack, kolkata, Delhi) — duplicate city field or city variant
8	state	high	[8] values are Indian state names (Orissa, Delhi)
9	country	high	[9] values are country codes (IND = India)
10	zip	high	[10] values are Indian postal codes/PIN codes (753001, 110037)
11	phone	high	[11] values are 10-digit Indian mobile numbers (9906816378, 9777171714, 9477032166)
12	phone	high	[12] values are 10-digit Indian phone numbers, likely alternate/secondary phone

Notes: Yatra.com travel booking platform breach. Column [0] is numeric user ID (skip). Columns [6] and [7] both contain city data — may represent primary/alternate city or data duplication. All phone numbers are Indian format. Addresses, cities, states, and postal codes are consistent with Indian geography. Column [2] contains salutation/title data mapped as suffix field.

42.csv

10 columns99,346 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] All values contain @ signs and are email addresses (yahoo.in, gmail.com, rediffmail.com)
2	suffix	high	[2] Header 'Mr.' and values are salutations (Mr., Mr)
3	firstName	high	[3] Values are common given names (siddhant, VINEETA, Chetan, dicky, sayyed, BRAJESWAR)
4	lastName	high	[4] Values are surnames (surana, SINGH, Kawatia, hora, khalid, MISHRA)
5	address1	high	[5] Sample contains 'Yatra.Com 1101-03', typical street/building address format
7	city	high	[7] Values are Indian city names (kolkata, Gurgoan, mumbai)
8	state	high	[8] Values are Indian state names (West Bengal, Maharashtra)
9	country	high	[9] All values are 'India'
10	zip	high	[10] Sample '400089' is an Indian PIN code format
11	phone	high	[11] All values are 10-digit Indian mobile numbers starting with 9

Notes: 13 columns total. Column [0] is numeric user ID (skip). Columns [6] and [12] are empty (skip). Breach context confirms Indian travel platform with Indian addresses, phone numbers, and email providers.

43.csv

11 columns99,397 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ signs, clear email addresses from Indian domains (rediffmail.com, gmail.com, yahoo.com)
2	suffix	high	[2] header 'Mr.', values are salutations/titles (Mr., Mr)
3	firstName	high	[3] values are given names (Rajneesh, HIMALAYA, akansha, Mapuia, NAVINRAMJI)
4	lastName	high	[4] values are family names (Bhimte, GAMOT, bilolikar, pant, Hmar, PARMAR)
5	address1	high	[5] values are street addresses (Ward no 01 banjar coloney, 208 center plaza, 1/17 vivekanand path)
7	city	high	[7] values are Indian city names (balaghat, mumbai, patna, amravati)
8	state	high	[8] values are Indian states (Madhya Pradesh, Maharashtra, Bihar)
9	country	high	[9] values are country identifiers (India, IND)
10	zip	high	[10] values are 6-digit Indian PIN codes (481111, 400097, 800013, 444809)
11	phone	high	[11] values are 10-digit Indian mobile numbers (9406766015, 9833406888, 9422165920)
12	phone	high	[12] values are 10-digit Indian phone numbers, alternate/second phone field (9798423128, 9404339108)

Notes: 13 columns total. Column [0] is numeric user ID (skip). Column [6] is empty (skip). Yatra-2019 Indian travel booking breach with complete user profiles including names, emails, addresses, and phone numbers.

44.csv

12 columns99,358 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ signs and match email format ([email protected], [email protected], etc.)
2	suffix	high	[2] header 'Mr', values are salutations/titles (Mr, Mr, Mr)
3	firstName	high	[3] values are common given names (MURTAZA, DHRUVA, Ankan, vinoth, madhu)
4	lastName	high	[4] values are surnames (TRAVADI, REDDY, Sarma, kumar, venkatesh)
5	address1	high	[5] values are street addresses (Raj paints, 17-1-478/19 krishna nagar, Lakhinagar, no 93 otthavadai st)
6	address2	medium	[6] mostly empty/spaces, secondary address line field
7	city	high	[7] values are Indian city names (porbandar, hyderabad, Guwahati, arakkonam, hyd)
8	state	high	[8] values are Indian states (Gujarat, Andhra Pradesh, Assam, Tamil Nadu)
9	country	high	[9] values are 'IND', country code for India
10	zip	high	[10] values are 6-digit Indian postal codes (360575, 500059, 781005, 631002, 534275)
11	phone	high	[11] values are 10-digit Indian mobile numbers (9825281392, 9789985126, 9706217852, 9196771286)
12	phone	high	[12] values are 10-digit Indian mobile numbers, alternate/secondary phone number

Notes: Yatra-2019 breach. 13 columns total. Column [0] is numeric user_id (skipped). Columns [11] and [12] both contain phone numbers — likely primary and secondary/alternate mobile. All addresses, names, phones, emails, and postal codes are Indian in origin, consistent with Yatra.com platform.

45.csv

12 columns99,364 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ signs, clearly email addresses (gmail.com, rediffmail.com pattern)
2	suffix	high	[2] header 'Mr.', values are salutations/titles (Mr, Mr.)
3	firstName	high	[3] values are given names (SUBHASISH, DEVENDRA, Chandan, Tapi, senthil, Ankit)
4	lastName	high	[4] values are family names (SAHA, WALDE, Dheeraj, Nalo, kumar, Murarka)
5	address1	high	[5] values are street addresses and apartment numbers (202,195/34, A6/203, azhuvalappil)
6	address2	high	[6] values are secondary address components (Shrinath Soceity, thalakap — building/locality names)
7	city	high	[7] values are Indian city names (Tiruchirappalli, lucknow, Pune, kottakkal)
8	state	high	[8] values are Indian states (Tamilnadu, Uttar Pradesh, Kerala)
9	country	high	[9] values are country indicators (India, IND)
10	zip	high	[10] values are 6-digit Indian PIN codes (620024, 226018, 676503)
11	phone	high	[11] values are 10-digit Indian mobile numbers (9994593516, 9766576353, 8130808225)
12	phone	high	[12] values are 10-digit Indian phone numbers (8081863718, 4832706593) — alternate/secondary phone

Notes: Yatra.com 2019 breach — Indian travel platform. Column [0] is numeric user_id (skipped). Complete address structure present: address1, address2, city, state, country, zip. Two phone columns capture mobile and alternate numbers. Suffix field captures Mr./Ms. salutations common in Indian records.

46.csv

12 columns99,358 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] All values contain @ signs, clearly email addresses from various providers (gmail.com, yahoo.co.in, rediffmail.com, etc.)
2	suffix	high	[2] Values are Mr., Mrs, Ms, consistent with salutation/title field
3	firstName	high	[3] Values are common given names (Sujit, ANKIT, Mamta, venu, INZAMAMUL, etc.)
4	lastName	high	[4] Values are surnames (Jaiswal, GUPTA, Jha, dorna, HOQUE, etc.)
5	address1	high	[5] Values are street addresses (Room No:344 Narmada Hostel, H.N.66 CHRIAG DELHI, flat.no.102 reddy apartment, etc.)
6	address2	medium	[6] Sparse column, appears to be secondary address/apartment info, mostly empty
7	city	high	[7] Values are Indian city names (Dharwad, NEW DELHI, secunderabad, Chennai, Patna, Darbhanga, Delhi, etc.)
8	state	high	[8] Values are Indian states (Karnataka, Delhi, Andhra Pradesh, Bihar, Tamil Nadu, Maharashtra, Uttar Pradesh, etc.)
9	country	high	[9] Values are India, IND, India consistently
10	zip	high	[10] Values are 6-digit Indian PIN codes (580002, 110017, 500003, 600117, 800004, 846001, 110092, 411019, 522626, 452008, 209724, 110009, 424108, etc.)
11	phone	high	[11] Values are 10-digit Indian mobile numbers (8123472948, 875062562, 7738560101, 9959224411, 9775890989, 9474283010, 8977385909, 9900968850, etc.)
12	phone	high	[12] Alternate/secondary phone field, also 10-digit Indian mobile numbers where populated

Notes: Yatra-2019 breach data. 13 columns total (0-12), 12 contain PII. Column 0 is user_id (skip). Records are Indian travel booking platform user accounts with complete personal information including addresses, phone numbers, email addresses, names, and location data.

47.csv

10 columns99,392 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ symbol and match email patterns ([email protected], [email protected], etc.)
3	suffix	high	[3] values are salutations/titles (Mr., Mrs.) indicating suffix field
4	firstName	high	[4] values are common given names (Nikhil, Varun, parshuram, Apratim)
5	lastName	high	[5] values are family names (Gupta, Sharma, Yadavalli, yadav, Agrawal)
6	address1	high	[6] values are street addresses and building identifiers (A-3, 9930919568 appears to be phone in this position, Viman Nagar, 632/308 Sanatan Nagar)
7	address1	high	[7] continuation of address data (Bhushan Chs - apartment/building name)
8	address1	high	[8] street/road names (V.P Road, Pune, Lucknow - mixed address components)
9	address2	high	[9] landmark/area descriptors (Near Andhra Bank, Maharashtra, Uttar Pradesh)
10	country	high	[10] values are 'India' and 'IND' indicating country field
11	zip	high	[11] values are postal codes (421201, 411014, 226028) and city-PIN combinations (Dombivli(East)-421201)

Notes: File has no header row. Column [0] contains numeric user IDs (customer_id) - treated as skip. Column [2] contains city names but mostly empty in sample - appears to be city field but sparse. Columns [6-11] contain fragmentary address data distributed across multiple fields (typical of parsed address storage). Indian context confirmed by address patterns, PIN codes, and city names (Thane, Dombivli, Pune, Lucknow). Total 12 columns, 11 contain PII.

48.csv

11 columns99,235 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ signs, standard email format (gmail.com, yahoo.co.in, rediffmail patterns)
2	suffix	high	[2] values are 'Mr', 'Mr.', 'Mr' — salutation/title field
3	firstName	high	[3] values are given names: Ramakrishnarao, ZHANG, govind, Shanmuga, JITENDRA, pintu
4	lastName	high	[4] values are family names: Achanta, YUANCHAO, singh, Chitipiralla, VYAS, kumar
5	address1	high	[5] values are street addresses: 'PLOT NO.176, WARD 12-C', 'model house ldh', 'singjamei thongam leikai'
7	city	high	[7] values are Indian city names: delhi, GANDHIDHAM, ludhiana, hoshangabad, Imphal
8	state	high	[8] values are Indian states: Delhi, Gujarat, Punjab, Madhya Pradesh, Manipur
9	country	high	[9] values are 'IND', 'India' — country codes/names
10	zip	high	[10] values are Indian PIN codes: 110044, 370201, 141003, 461001, 795008 (6-digit postal codes)
11	phone	high	[11] values are 10-digit Indian mobile numbers: 9448066554, 9597227977, 8765730865, 9490843701, 9898038586
12	phone	high	[12] alternate phone numbers, same format as [11]: 8765730865, 9560759461

Notes: 13 columns total. Column [0] is numeric user_id (skipped). Column [6] is entirely empty (skipped). Breach context confirms Indian travel platform with Indian addresses, phone numbers, email providers, and cities. All PII columns identified and mapped.

49.csv

10 columns99,300 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] Values contain @ signs and match email format ([email protected], [email protected], etc.)
2	suffix	high	[2] Values are salutations/titles: 'Ms', 'Mr.', 'Mr'
3	firstName	high	[3] Values are given names: 'Lisa', 'k james', 'ravi', 'XAVIER', 'Rajasridhar', 'deepi'
4	lastName	high	[4] Values are family names: 'Stenmark', 'Mathai', 'mallian', 'SHERMEILA', 'Lankapalli', 'kaur'
5	address1	high	[5] Values are street addresses: '38 sector A , Ambedkar Colony Govindp...'
7	city	high	[7] Values are city names: 'Bhopal'
8	state	high	[8] Values are Indian states: 'Madhya Pradesh'
9	country	high	[9] Values are 'India'
10	zip	high	[10] Values are Indian PIN codes: '462023'
11	phone	high	[11] Values are 10-digit Indian mobile numbers: '9815825646', '9826361390', etc.

Notes: Yatra.com travel booking breach. Column [0] is numeric user ID (skip). Columns [6] and [12] are empty (skip). No numbered PII columns detected.

5.csv

12 columns99,271 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ signs, match email format with domains (yahoo.com, gmail.com, yahoo.co.in, yahoo.in)
2	suffix	high	[2] header values are titles: 'Mr', 'Mrs.', 'Ms' — salutations/suffixes
3	firstName	high	[3] values are given names (vivek, krushna, SENTHIL, SK, preethy, Harpreetsingh)
4	lastName	high	[4] values are family names (mahajan, sahoo, MURGAN, Joshi, gopaal, Punjabi)
5	address1	high	[5] values are street addresses (railwayrod, IOCL, suryasoma, Heliconia,Magarpatta city,Hadapsar)
6	address2	medium	[6] secondary address component, sparse values (thirunageswaram, JAMMU)
7	city	high	[7] values are Indian city names (kumbakonam, JAMMU, munnar, Pune)
8	state	high	[8] values are Indian states (Karnataka, Tamilnadu, Jammu and Kashmir, Kerala, Maharashtra)
9	country	high	[9] values are country codes/names (India, IND, IN)
10	zip	high	[10] values are 6-digit Indian PIN codes (612204, 180015, 685612, 411028)
11	phone	high	[11] values are 10-digit Indian mobile numbers (8085660666, 9611672288, 8233586063, 9426422681, 9086088447, 9447004303)
12	phone	high	[12] alternate phone numbers, 10-digit format (9571003885, 1912460038) — secondary phone field

Notes: Yatra-2019 breach, Indian travel booking platform. Column [0] is numeric user ID (skip). All 13 columns present; 12 contain PII. Data is entirely Indian: addresses, phone numbers, email providers (yahoo.co.in, rediffmail.com), cities, and states confirm Indian origin.

50.csv

11 columns99,367 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ signs, clear email addresses (gmail.com, yahoo.co.in, hotmail.com)
2	suffix	high	[2] header 'Mr', values are salutations (Mr, Mr.)
3	firstName	high	[3] values are given names (julius, Babyrani, jaydeepnarayan, rahul, Ganesh)
4	lastName	high	[4] values are family names (amstrong, Arambam, srivastava, dey, Sahoo)
5	address1	high	[5] values contain street addresses and building numbers (107classic business center, Yatra.Com 1101-03, #503)
6	address2	medium	[6] values appear to be secondary address components (4th Main) or building details
7	city	high	[7] values are Indian cities (bengaluru, Gurgoan)
8	state	high	[8] values are Indian states (Karnataka)
9	country	high	[9] values indicate country (India)
10	zip	high	[10] values are 6-digit Indian postal codes (560001, 560019)
11	phone	high	[11] values are 10-digit Indian mobile numbers (8281255381, 8750788331, 9835021326)

Notes: 13 columns total, 11 contain PII. Column [0] is numeric user_id (skip). Column [12] is empty (skip). Breach context confirms Indian travel booking platform with Indian user data.

51.csv

11 columns99,387 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ symbols, standard email format with Indian domains (gmail.com, yahoo.com)
2	suffix	high	[2] values are 'Mr', 'Mr.' — salutation/title prefix
3	firstName	high	[3] header pattern and values are common given names (ganesh, vijay, sreenivasapavankumar, Rushik, KNIRMALA, RS)
4	lastName	high	[4] values are surnames (pillai, bhushan, surey, Patel, NIRMALA, Sharma)
5	address1	high	[5] street addresses with house numbers and locality names (5/89 A PRIYABHAVAN, House No.3977)
7	city	high	[7] values are Indian city names (CHENNAI, Rewari, RAJAHMUNDRY, Gurgoan)
8	state	high	[8] values are Indian state/province names (Tamil Nadu, Haryana, Andhra Pradesh, Delhi)
9	country	high	[9] values are 'IND' and 'India' — country code/name
10	zip	high	[10] 6-digit postal codes matching Indian PIN code format (629704, 123401, 533101, 110043)
11	phone	high	[11] 10-digit numbers matching Indian mobile phone format (9469732301, 9355763377, 9848156621)
12	phone	high	[12] 10-digit numbers matching Indian mobile phone format — alternate/secondary phone number

Notes: Yatra.com 2019 breach — Indian travel booking platform. Column [0] is user_id (skipped). Column [6] is empty (skipped). All phone numbers are Indian mobile format (10 digits starting with 9). Addresses and location data all Indian. Two phone columns ([11] and [12]) represent primary and alternate contact numbers.

52.csv

11 columns96,890 rows

File structure

Format: CSV·Delimiter: comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ signs and are valid email addresses (yahoo.co.in, gmail.com, hotmail.com)
2	suffix	high	[2] header empty but values are 'Mr.' and 'Mr', which are salutation titles
3	firstName	high	[3] header empty but values are given names (abubakkar, surendra, Anil, diptakshi, Kamal)
4	lastName	high	[4] header empty but values are family names (siddique, kumar, Kumar, mondal, Bhardwaj)
5	address1	high	[5] header empty but values are street addresses (No.302 moolai streeet, vill-silaich pos-balapur, Yatra.Com 1101-03, 6/1 J M LANE, 12/92 geeta colony)
7	city	high	[7] header empty but values are Indian city names (thiruvannamalai, ghazipur, Kolkata, Gurgoan, Bangalore)
8	state	high	[8] header empty but values are Indian states (Tamilnadu, Uttar Pradesh, West Bengal, Karnataka)
9	country	high	[9] header empty but values are 'India' and 'IND', country codes/names
10	zip	high	[10] header empty but values are Indian postal codes (606708, 273227, 700008, 560053, 110031)
11	phone	high	[11] header empty but values are 10-digit Indian mobile phone numbers (9994420065, 9790434352, 9721771231, 9818363222, 9883078522)
12	phone	high	[12] header empty but values are 10-digit Indian phone numbers (9538383882), appears to be alternate/secondary phone

Notes: Yatra 2019 breach: 13 columns total. Column [0] is user_id (skipped). Column [6] contains no header and no sample values (skipped). All other columns contain valid PII. Breach context confirms Indian travel booking platform with Indian addresses, phone numbers, and email providers.

53.csv

11 columns99,489 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ signs and email domains (gmail.com, yahoo.co.in, rediffmail.com)
2	suffix	high	[2] header shows salutation patterns: 'Mr', 'Mr.', 'Mrs'
3	firstName	high	[3] values are common given names (Nishabh, Rahul, ravindra, umesh, Antara, sujan)
4	lastName	high	[4] values are family names (Jauhari, Jadon, limay, sharma, Bhattacharjee, saha)
5	address1	high	[5] values contain street addresses and building numbers (Yatra.Com 1101-03, gazna,east bishnupur,24pg)
7	city	high	[7] values are Indian cities (Gurgoan, kolkata)
8	state	high	[8] values are Indian states (West Bengal)
9	country	high	[9] values are country codes/names (IND, India, Other)
10	zip	high	[10] values are 6-digit Indian PIN codes (743273)
11	phone	high	[11] values are 10-digit Indian mobile numbers (9003226678, 9329294999, 9224582575, 9158989735, 9830595722)
12	phone	high	[12] values are 10-digit Indian phone numbers (alternate/secondary phone)

Notes: Yatra.com travel booking platform breach (2019). File contains 13 columns; 11 contain PII. Column [0] is user_id (skip), column [6] is empty (skip). Data is entirely Indian: Indian addresses, phone numbers, email providers (rediffmail.com, yahoo.co.in), cities (Kolkata, Gurgaon), and states (West Bengal). One record confirms 'Yatra Office' in Gurgaon.

54.csv

7 columns99,436 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ signs and match email format (yahoo.com, gmail.com, ingvysyabank.com)
2	suffix	high	[2] header 'Mr', all values are salutations/titles
3	firstName	high	[3] values are common given names (Anil, Ravindra, Shiladitya, Ashish, Nikhil)
4	lastName	high	[4] values are common surnames (Sharma, Mate, Nag, Pahuja, Ahire)
5	address1	medium	[5] sample value 'Yatra.Com 1101-03' matches street/building address pattern
7	city	medium	[7] sample value 'Gurgoan' (variant of Gurgaon) is an Indian city name
11	phone	high	[11] values are 10-digit numbers matching Indian mobile phone format

Notes: 13 columns total. Column [0] is user_id (skip). Columns [6], [8], [9], [10], [12] are empty across samples (skip). Breach context confirms Indian travel platform with Indian addresses, phone numbers, and email providers.

55.csv

11 columns98,005 rows

File structure

Format: CSV·Delimiter: comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] header '[email protected]' is an email address; all values contain @ signs and are valid email addresses
2	suffix	high	[2] values are 'Mr', 'Mrs.', 'Mr.' — salutation/title suffixes
3	firstName	high	[3] values are given names: 'Akshaynidhi', 'Nima', 'shipinder', 'Mastinder Nath'
4	lastName	high	[4] values are family names: 'Rathore', 'Galjan', 'kaur', 'Yadav', 'AUGUSTIN'
5	address1	high	[5] values are street addresses: 'NISHA RESIDENCY 1001', '34,anantya apartments,naththam link r...'
7	city	high	[7] values are Indian cities: 'jalandhar', 'GoregaonMumbai', 'chennai'
8	state	high	[8] values are Indian states: 'Punjab', 'Maharashtra', 'Tamil Nadu'
9	country	high	[9] values are country codes/names: 'India', 'IND'
10	zip	high	[10] values are Indian PIN codes: '144002', '400062', '603103'
11	phone	high	[11] values are 10-digit Indian mobile numbers: '9234667050', '8684012345', '9036721822'
12	phone	high	[12] alternate phone number; values are 10-digit Indian mobile numbers: '9867673042'

Notes: Yatra.com 2019 breach. Column [0] is numeric user ID (skip). Column [6] is empty (skip). All PII columns identified: email, name components (firstName, lastName, suffix), full address (address1, city, state, country, zip), and dual phone numbers.

56.csv

11 columns99,444 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] Values contain @ signs and match email format (yahoo.com, yahoo.co.in, rediffmail.com, gmail.com)
2	suffix	high	[2] Values are 'Mr', 'Mr.', 'Mr' — salutation/title prefix
3	firstName	high	[3] Values are common given names (Hardik, surajit, PARTH, Nalin, riyaz)
4	lastName	high	[4] Values are surnames (Kapadi, singh, VERMA, Shah, Khan)
5	address1	high	[5] Values contain street addresses and building references (Yatra.Com 1101-03, C/ 803 Shree Niketan, Guwahati assam)
7	city	high	[7] Values are Indian city names (Gurgoan, guwahati, Mumbai)
8	state	high	[8] Values are Indian states (Assam, Maharashtra)
9	country	high	[9] Values are 'IND' and 'India' — country code/name
10	zip	high	[10] Values are 6-digit postal codes (788736, 400067) — Indian PIN codes
11	phone	high	[11] Values are 10-digit numbers matching Indian mobile phone format
12	phone	high	[12] Values are 10-digit numbers — alternate/secondary phone number

Notes: Yatra 2019 breach. 13 columns total, 12 contain PII. Column [0] is numeric user ID (skip). Column [6] is empty (skip). Data contains Indian user records with email, names, addresses, and phone numbers from major Indian travel booking platform.

57.csv

13 columns99,499 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
0	skip	high	[0] Numeric sequential IDs (5437935, 5437936, etc.) — internal user/record identifiers
1	email	high	[1] All values contain @ symbol and match email format (gmail.com, infosys.com, yahoo.co.in)
2	suffix	high	[2] Values are 'Mr', 'Mr.', 'Ms.' — salutation/title indicators
3	firstName	high	[3] Values are given names: Rajendra, srinivasa, KUNAL, idrish, vinit, Komal
4	lastName	high	[4] Values are surnames: Shende, karanam, SINHA, khan, kumar, Tak
5	address1	high	[5] Values are street addresses: 'gandhidham', 'Bhaironath varanasi', 'Ramdas Colony,Ram nagar vistar, Sodala'
6	skip	high	[6] All values empty/blank across sample
7	city	high	[7] Values are Indian cities: bhuj, varanasi, Jaipur
8	state	high	[8] Values are Indian states: Uttar Pradesh, Rajasthan
9	country	high	[9] Values are 'IND' and 'India' — country codes/names
10	zip	high	[10] Values are 6-digit Indian PIN codes: 370110, 221001, 302006
11	phone	high	[11] Values are 10-digit Indian mobile numbers: 8975657235, 9987303997, 9930566628, etc.
12	phone	high	[12] Values are 10-digit Indian phone numbers (alternate/secondary phone): 9099908462, 8795822111

Notes: Yatra 2019 breach — Indian travel platform. 13 columns total, 11 contain PII (email, names, full address, two phone fields). Columns 0 and 6 are non-PII (user_id and empty field). Breach context confirms Indian addresses, phone numbers, and email providers.

58.csv

6 columns99,502 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ signs and email domains (yahoo.com, gmail.com, rediffmail patterns); matches email format
2	suffix	high	[2] values are 'Mr.' and 'Mr' — salutation/title fields typical in breach context
3	firstName	high	[3] header 'Abha' with values like 'abhik', 'Karthik', 'Jaz', 'ABDUL', 'Ram' — all common given names
4	lastName	high	[4] header 'Bhatnagarsaluja' with values like 'bajaj', 'Gurumoorthy', 'Manak', 'LEYMAN', 'Unrivaled' — surname pattern
9	country	high	[9] value 'India' matches country field; breach context confirms all Indian records
11	phone	high	[11] values are 10-digit numbers (9412522621, 858606047, 8884182631, 9415131305, 6593847985, 9820384897) — Indian mobile phone format

Notes: Yatra-2019 Indian travel booking breach. Column [0] is numeric user_id (skip). Columns [5–8], [10], [12] are empty across all samples. Column [2] contains salutation/prefix (suffix field). 6 PII columns identified out of 13 total.

59.csv

5 columns99,367 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ signs and valid email addresses (Gmail, Yahoo, corporate domains)
2	suffix	high	[2] header/values are salutations: 'Mr', 'Miss' — standard title/suffix indicators
3	firstName	high	[3] values are common given names (Sushil, Shirish, Ashish, Shubham, Chandreyi, satyabrata)
4	lastName	high	[4] values are surnames (Gautam, Chandavarkar, Agarwal, Singh, daklai, Das sharma)
11	phone	high	[11] values are 10-digit Indian mobile numbers (8294222522, 8587078399, 9833554423, etc.)

Notes: File contains 13 columns. Column [0] is a numeric user ID (skip). Columns [5-10] and [12] are empty in all sample rows (skip). This is a structured PII breach from Yatra.com containing Indian user records with email, name, title, and phone data.

6.csv

12 columns99,321 rows

File structure

Format: CSV·Delimiter: comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] header 'email', values contain @ signs and valid email addresses (gmail.com, yahoo.com, rediffmail.com)
2	suffix	high	[2] header 'salutation', values are titles: 'Mr', 'Mrs'
3	firstName	high	[3] header 'first_name', values are common given names: Vidhu, binod, Sanjay, madderla, abiskar
4	lastName	high	[4] header 'last_name', values are surnames: Sood, kejriwal, Shinde, sathaiah, sinha
5	address1	high	[5] header 'address1', values are street addresses with building numbers and street names
6	address2	high	[6] header 'address2', values are secondary address components (apartment/area details)
7	city	high	[7] header 'city', values are Indian city names: Ghaziabad, muzaffarpur, Vasai, viziyanagaram, kolkata
8	state	high	[8] header 'state', values are Indian state names: Andhra Pradesh, Uttar Pradesh, bihar, Maharashtra, west bengal
9	country	high	[9] header 'country', values are country codes: 'IND', 'IN'
10	zip	high	[10] header 'zip', values are 6-digit Indian postal codes: 516001, 201005, 842001, 401208
11	phone	high	[11] header 'phone', values are 10-digit Indian mobile numbers: 9966785475, 9971471113, 9431238778
12	phone	high	[12] header 'alternate_phone', values are Indian phone numbers (mobile and landline formats): 0120-4134190, 8922223222, 9830325718

Notes: 13 columns total, 12 contain PII. Column [0] is user_id (numeric identifier, skipped). Breach context confirms this is Yatra 2019 Indian travel booking platform data with Indian addresses, phone numbers, and email providers.

60.csv

12 columns99,302 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
0	skip	high	[0] Numeric user IDs (5547528, 5547529, etc.) — internal customer identifiers
1	email	high	[1] Values contain @ symbol and are valid email addresses ([email protected], [email protected], etc.)
2	suffix	high	[2] Salutation/title values: 'Ms', 'Mr', 'Mr.' — formal address prefixes
3	firstName	high	[3] Common given names (ranjitha, Reinhard, Abdul, ELAKKIYAVENDAN, OZA, Sameer)
4	lastName	high	[4] Common family names (nayak, Buck, Jabbar, RAJENDRAN, PUNAMCHAND, Belusonti)
5	address1	high	[5] Street address values (e.g., '18-7-312/1d/43 Aman Nagar') — mailing street/first address line
7	city	high	[7] Indian city names (Hyderabad, srikakulam)
8	state	high	[8] Indian state names (Andhra Pradesh, Andhra Pradesh)
9	country	high	[9] Country code/name values (IND, India)
10	zip	high	[10] Indian PIN/postal codes (500023, 532001)
11	phone	high	[11] 10-digit Indian mobile/phone numbers (8105003571, 9059060173, 9944420624, etc.)
12	phone	high	[12] Alternate phone numbers — 10-digit Indian mobile format (9059060173)

Notes: Yatra 2019 breach — Indian travel booking platform. Column 6 is empty/unused in all samples. 11 PII columns identified (email, suffix, firstName, lastName, address1, city, state, country, zip, phone, phone). Columns 0 and 6 are skipped (user_id and empty column respectively).

61.csv

11 columns99,376 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ signs and email domains (gmail.com, rediffmail patterns)
2	suffix	high	[2] header/values are 'Mr', 'Mr.', 'Ms' — salutation titles
3	firstName	high	[3] values are common given names (Dhananjay, Ananthula, Pankaj, Veera, Dhairya, swetha)
4	lastName	high	[4] values are surnames (Kumar, Giridhar, kumar, manikandan, Ashar, s)
5	address1	high	[5] values are street addresses (Yatra Office, A-7 Zavernagar Society)
7	city	high	[7] values are Indian cities (Gurgaon, vadodara)
8	state	high	[8] values are Indian states (Haryana, Gujarat)
9	country	high	[9] values are 'India', 'IND' — country codes/names
10	zip	high	[10] values are Indian PIN codes (122003, 390022)
11	phone	high	[11] values are 10-digit Indian mobile numbers (9002135246, 9866559484, etc.)
12	phone	high	[12] alternate/secondary phone field, 10-digit Indian mobile numbers

Notes: Yatra 2019 breach dataset. Column [0] is numeric user_id (skip). No header row present. All addresses, phone numbers, and email domains are Indian. 11 of 13 columns contain PII.

62.csv

10 columns98,134 rows

File structure

Format: CSV·Delimiter: comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] header '[email protected]' is an email address; all sample values contain @ and are valid email addresses
2	suffix	high	[2] values are 'Mr', 'Mr.', which are common salutation/title suffixes
3	firstName	high	[3] values are 'Amit', 'sakib', 'jahir', 'Aun' — common given names
4	lastName	high	[4] values are 'kumar', 'shaikh', 'abbas', 'Alia' — common family names
5	address1	high	[5] values are street addresses like 'vill+post.=saryan', 'House no1 & 2 Gali no 1', '110052' (mixed with postal codes)
6	phone	high	[6] value '8588851512' is a 10-digit number matching Indian mobile phone format
8	state	high	[8] value 'Uttar Pradesh' is an Indian state name
9	country	high	[9] value 'India' is a country name
10	zip	high	[10] value '277121' is a 6-digit Indian PIN/postal code
11	phone	high	[11] values are 10-digit numbers ('9699545608', '9812195202', etc.) matching Indian mobile phone format; alternate phone number

Notes: 13 columns total. Column [0] contains user IDs (numeric, skip). Column [7] appears to be a username or login handle ('baliia', skip as non-standard). Column [12] is empty. Breach context confirms Indian travel booking platform with Indian addresses, phone numbers, and email providers.

63.csv

11 columns98,283 rows

File structure

Format: CSV·Delimiter: comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] header '[email protected]' is an email; all values are email addresses with @ signs
2	suffix	high	[2] header 'Mr.' contains salutation/title; values are 'Mr', 'Mr.' — common suffixes/titles
3	firstName	high	[3] header 'rambhajan' is a given name; values are common first names (kranthi, Omkar, veer, dilshad)
4	lastName	high	[4] header 'kumawat' is a surname; values are family names (Chennamsetty, Mohite, sharma, alam, Gholap)
5	address1	high	[5] header is a street address; values contain street addresses with house numbers, lane names, and building details
7	city	high	[7] header 'pune' is an Indian city; values are Indian cities (Gurgoan, NEW DELHI, Vapi)
8	state	high	[8] header 'Maharashtra' is an Indian state; values are Indian states (Maharashtra, Gujarat)
9	country	high	[9] header 'India' is a country; all values are 'India' or 'IND'
10	zip	high	[10] header '411033' is an Indian postal code (PIN); values are 5-6 digit Indian PIN codes (110019, 396191)
11	phone	high	[11] header '9049494641' is a 10-digit phone number; all values are 10-digit Indian mobile numbers
12	phone	high	[12] values are 10-digit Indian mobile numbers or empty; alternate/secondary phone field

Notes: 13 columns total, 10 contain PII. Column [0] is numeric user ID (skip). Column [6] is empty (skip). Breach confirmed as Yatra 2019 — Indian travel booking platform with Indian addresses, phone numbers, email providers, and city/state references.

64.csv

11 columns99,469 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ signs, clearly email addresses (gmail.com, live.com, northwestern.edu)
2	suffix	high	[2] values are 'Mr', 'Mr.', 'Mr' — salutation/title field
3	firstName	high	[3] values are given names (Murali, SUBHASIS, Edmond, Sandeep, venkat)
4	lastName	high	[4] values are family names (Mohan, BOSE, Ferrao, Goel, sundar)
5	address1	high	[5] header context + sample values show street addresses (chakdaha kanthalpuli, kannppa bilding)
7	city	high	[7] values are Indian city names (kolkata, banglore)
8	state	high	[8] values are Indian states (West Bengal, Karnataka)
9	country	high	[9] values are 'IND', 'India' — country codes/names
10	zip	high	[10] values are 6-digit Indian PIN codes (741222, 560036)
11	phone	high	[11] values are 10-digit Indian mobile numbers (9676438881, 7407535001, 9642525252)
12	phone	high	[12] values are 10-digit Indian mobile numbers — alternate/second phone number

Notes: 13 columns total. Breach context confirms Yatra (Indian travel platform) with Indian addresses, Indian phone numbers (10-digit format), Indian cities/states, Indian PIN codes. Column [0] is numeric user ID (skip). Column [6] is empty. Columns [5], [7], [8], [9], [10] together form complete Indian postal address. Columns [11] and [12] are both phone numbers.

65.csv

10 columns99,397 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ symbols and email domains (gmail.com, rediffmail.com patterns consistent with Indian travel booking)
2	suffix	high	[2] values are 'Mr.' / 'Mr' — salutation/title prefix
3	firstName	high	[3] header position and values are common given names (vaibhav, Parag, john, Mohd, CEENA, DULAL)
4	lastName	high	[4] values are surnames (dubey, Mital, thapa, Ahmad, JOSEPH, SHIL)
5	address1	high	[5] values are street addresses ('Srikona daily bazar', 'Yatra.Com 1101-03' — Gurgaon office reference)
7	city	high	[7] values are Indian city names (silchar, Gurgoan/Gurgaon)
8	state	high	[8] values are Indian states (Assam)
9	country	high	[9] values are 'India' — country field
10	zip	high	[10] values are 6-digit Indian PIN codes (788001)
11	phone	high	[11] values are 10-digit numbers consistent with Indian mobile phone format

Notes: 13 columns total; 11 contain PII (email, suffix, firstName, lastName, address1, city, state, country, zip, phone). Columns [0], [6], [12] are empty or internal identifiers (skip). Breach context confirms Indian travel platform (Yatra.com) with user account records including addresses, emails, names, and phone numbers.

66.csv

10 columns99,299 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ signs, match email pattern (gmail.com, yahoo.co.in, etc.)
2	suffix	high	[2] values are 'Mr', 'Mrs', 'Mr.' — salutation/title indicators
3	firstName	high	[3] header position and values are common Indian given names (Nagaraj, Ramaswamy, Abhijit, geeta, Sudhir, viswanath)
4	lastName	high	[4] values are surnames following first names (Sitaram, Ragu, nair, singh, Malik, ravikumar)
5	address1	medium	[5] mostly empty but sample value 'Yatra Office' indicates street/mailing address line
7	city	high	[7] mostly empty but sample 'Gurgaon' is Indian city name
8	state	high	[8] mostly empty but sample 'Haryana' is Indian state
9	country	high	[9] mostly empty but sample 'India' confirms country field
10	zip	high	[10] mostly empty but sample '122003' matches Indian PIN code format (5-6 digits)
11	phone	high	[11] values are 10-digit numbers matching Indian mobile phone format (9739166243, 9873422360, etc.)

Notes: 13 columns total. Yatra.com travel booking platform breach from 2019 containing Indian user account records. Column [0] contains numeric user IDs (skip). Columns [6] and [12] are empty (skip). Breach context confirms Indian addresses, phone numbers, email providers consistent with India.

67.csv

5 columns98,098 rows

File structure

Format: CSV·Delimiter: comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ symbols and match email format (gmail.com, rediffmail.com, etc.)
2	suffix	high	[2] header 'Mr', values are salutations/titles (Mr, Ms)
3	firstName	high	[3] values are common given names (Sanjay, UNNIKRISHNA, Vicky, monika, sk, Atul)
4	lastName	high	[4] values are surnames (Sanjay, PANICKER, Hans, chandra, azijul, Tandon)
11	phone	high	[11] values are 10-digit Indian mobile numbers (9431092293, 9869167114, 9213262144, etc.)

Notes: File contains 13 columns; 5 contain PII. Columns [0] is user_id (skip), columns [5-10, 12] are empty (skip). No address fields present in this sample despite breach context mentioning addresses — those may be in other files or later columns.

68.csv

10 columns99,548 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ symbols and are email addresses ([email protected], [email protected], etc.)
2	suffix	high	[2] values are titles/salutations (Mr, Ms, Mr., etc.)
3	firstName	high	[3] values are given names (Kapur, GEORGE, Susannah, Liyaqat, ankit, Samyak)
4	lastName	high	[4] values are family names (Shukla, WILLIAM, Robinson, Khan, prajapati, Jain)
5	address1	high	[5] values are street addresses (Yatra Office, kadipur sultanpur uttar pradesh, Yatra.Com 1101-03)
7	city	high	[7] values are Indian city names (Gurgaon, sultanpur, Gurgoan)
8	state	high	[8] values are Indian states (Haryana, Uttar Pradesh)
9	country	high	[9] values are country (India)
10	zip	high	[10] values are Indian postal codes (122003, 228145)
11	phone	high	[11] values are 10-digit Indian mobile phone numbers (7709460812, 9709230221, 7841631742, etc.)

Notes: Breach context confirms Yatra.com Indian travel platform. File contains user account records with names, email addresses, addresses (street, city, state, country, PIN), and mobile phone numbers. Column [0] is numeric user ID (skip). Columns [6] and [12] are empty (skip).

69.csv

10 columns99,358 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ symbol and match email address format ([email protected], [email protected], etc.)
2	suffix	high	[2] values are salutations/titles: 'Mrs', 'Mr', 'Mrs.', 'Miss', 'Mr.' — standard name suffixes
3	firstName	high	[3] values are given names (MALATHY, KANDURU, Meenu, Mehak, surya, Mary) positioned after salutation
4	lastName	high	[4] values are family names (PILLAI, MAJHI, Bhullar, Sharma, khatri, kerketta) positioned after first name
5	address1	high	[5] values are street addresses (F-21 GALI NO. 61 LAKSHMI NAGAR, 685/8 nanda nagar, a-13 Coral Block Vatika Green City)
7	city	high	[7] values are Indian city names (indore, Jamshedpur) — city field in address sequence
8	state	high	[8] values are Indian states (Uttar Pradesh, Madhya Pradesh, Jharkhand) — state field after city
9	country	high	[9] values are 'India' — country field in address hierarchy
10	zip	high	[10] values are Indian PIN codes (452001, 831018) — numeric postal codes
11	phone	high	[11] values are 10-digit Indian mobile numbers (9427623326, 9496559666, 9873653307, 7534078000, 9165077070)

Notes: Yatra 2019 breach — Indian travel booking platform. Column [0] is numeric user ID (skip). Columns [6] and [12] are empty across all samples (skip). All remaining columns contain valid PII: email, name components (surname/title/first/last), complete Indian address (street, city, state, country, PIN), and mobile phone. No passwords, SSNs, or DOB fields present in this extract.

7.csv

11 columns99,473 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ symbols and match email address format ([email protected], [email protected], etc.)
3	suffix	high	[3] values are 'Mr' and 'Ms' — salutation/title indicators
4	firstName	high	[4] header context + values are common given names (Parag, sachin, Sudhir, gopal, Ajit, kalpana)
5	lastName	high	[5] values are surnames (Shah, sirohi, Singh, solanki, Gandhi, devi)
6	address1	high	[6] values match street address format (193, h-8 , iitb , mumbai; flat no 106 sector 29; etc.)
7	address2	high	[7] values are secondary address components or locality names (m.r.nagar,kodungaiyur; Sukchar; Lower Parel West; etc.)
8	city	high	[8] values are Indian city names (mumbai, noida, Mumbai, chennai, Kolkata)
9	state	high	[9] values are Indian state names (Maharashtra, Uttar Pradesh, Tamil Nadu, West Bengal)
10	country	high	[10] all values are 'IND' — country code for India
11	zip	high	[11] values are 6-digit Indian PIN codes (400076, 201301, 400056, 600118, 700115)
12	phone	high	[12] values are 10-digit Indian mobile numbers (9924013901, 9920740849, 9910013923, etc.)

Notes: 13 columns total. Column [0] is a numeric user_id (skip — internal identifier). Column [2] appears to be a password or authentication token (values are alphanumeric strings like 'Trg9EQl', '96385274', 'ramjanee', etc.) — mapped as password. Breach context confirms Indian travel platform with Indian addresses, phone numbers, and email providers.

70.csv

8 columns98,503 rows

File structure

Format: CSV·Delimiter: comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ signs and email domains (gmail.com, yahoo.com, rediffmail patterns)
2	suffix	high	[2] values are 'Mr.', 'Dr.' — salutation/title indicators
3	firstName	high	[3] values are given names (davinder, bhargavi, PR RAVI, Saket)
4	lastName	high	[4] values are family names (vashisht, ravi, SHANTHI, Jha)
5	address1	high	[5] values contain street addresses and location data (Yatra Office address, street address placeholders)
6	phone	high	[6] value '8870538888' is 10-digit Indian mobile number
9	country	high	[9] value is 'India'
11	phone	high	[11] values are 10-digit Indian mobile numbers (9448614523, 9041134608, etc.)

Notes: 13 columns total. Column [0] appears to be user_id (skip). Columns [7], [8], [10], [12] are empty or non-PII. Column [2] contains title/suffix mixed with some geographic data ('Tamil Nadu', 'Gurgaon') but primary values are salutations. Two phone columns detected ([6] and [11]) — both valid Indian mobile numbers. Indian context confirmed by address formats, phone patterns (10-digit mobile), and country field.

71.csv

10 columns99,400 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ signs and are clearly email addresses (rediffmail.com, gmail.com, icicibank.com domains)
2	suffix	high	[2] values are 'Mr.', 'Mr' — salutation/title indicators
3	firstName	high	[3] values are given names (Geetha, RAMANUJA, seetharaman, teja, Raqib)
4	lastName	high	[4] values are surnames or family names (Murugaiah, P, AVR, ananthakrishnan, rayasam, Baba)
5	address1	high	[5] values contain street addresses (e.g., '117/H-1/255,Model town,Pandu Nagar', 'Kukatpally')
7	city	high	[7] values are Indian city names (hyderabad, Kanpur)
8	state	high	[8] values are Indian states (Andhra Pradesh, Uttar Pradesh)
9	country	high	[9] values are 'India' — country field
10	zip	high	[10] values are 6-digit Indian PIN codes (500072, 208005)
11	phone	high	[11] values are 10-digit Indian mobile phone numbers

Notes: 13 columns total. Column [0] contains numeric user IDs (skip). Columns [6] and [12] are empty (skip). Column [5] may also contain address2 data (apartment/suite info embedded), but mapping as address1. File has no header row.

72.csv

11 columns99,584 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ signs and match email format (gmail.com, aol.pk, rediffmail patterns)
2	suffix	high	[2] header 'Mr.' / values are salutations (Mr, Mr.)
3	firstName	high	[3] header 'abhijit', values are common given names (Shoueeb, Paras, Dileep, gaurav, Andrea)
4	lastName	high	[4] header 'mukherjee', values are surnames (Dar, Banka, Gunda, kumar, ketherton)
5	address1	high	[5] values are full street addresses (35/6 kayastha para main road kol-700078, etc.)
7	city	high	[7] header 'kolkata', values are Indian city names (Gurgoan, Gurgaon, delhi)
8	state	high	[8] header 'West Bengal', values are Indian states/territories (Haryana, National Capital Territory of Delhi)
9	country	high	[9] header 'India', all values are 'India'
10	zip	high	[10] header '700078', values are 6-digit Indian PIN codes (121002, 110059)
11	phone	high	[11] values are 10-digit Indian mobile numbers (9433852491, 9643313902, 8013120406)
12	phone	high	[12] alternate phone field, values are 10-digit numbers (8970353472) or empty

Notes: Yatra 2019 breach. 13 columns total, 11 contain PII. Column [0] is numeric user_id (skipped). Column [6] appears empty across all samples (skipped). Data is entirely Indian: Indian addresses, phone numbers, states, PIN codes, and email providers confirm Indian user base.

73.csv

5 columns99,584 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ symbols and match email format ([email protected], [email protected], etc.)
2	suffix	high	[2] values are 'Mr', 'Mr.' — salutation/title indicators
3	firstName	high	[3] header context and values are common given names (Sai, Rajib, Manjesh, Monindersingh, VIJAY, Animesh)
4	lastName	high	[4] header context and values are surnames (Varma, Banerjee, Thomas, Vasant, KUMAR, Dey)
11	phone	high	[11] values are 10-digit Indian mobile phone numbers (9494774499, 8986880570, 9946031800, etc.)

Notes: 13 columns total, 5 contain PII. Column [0] is numeric user_id (skip). Columns [5-10] and [12] appear empty in samples and are skipped. Breach context confirms Indian travel platform with user account data including emails, names, phone numbers.

74.csv

9 columns99,550 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ signs and match email address format ([email protected], [email protected], etc.)
2	suffix	high	[2] values are 'Mr.' — standard salutation/title prefix
3	firstName	high	[3] values are common given names (Mohmmed, Vikas, Misato, bipinbhai, sarita)
4	lastName	high	[4] values are surnames (Muazzam, Gupta, Higashi, padhiyar, rewri)
5	address1	high	[5] value 'B-188/2' matches street address format common in Indian addresses
8	state	high	[8] value 'National Capital Territory of Delhi' is an Indian state/territory
9	country	high	[9] values are 'India', 'Other' — country field
10	zip	high	[10] value '110009' is a 6-digit Indian postal code (PIN)
11	phone	high	[11] values are 10-digit Indian mobile numbers (9940940671, 9827122704, etc.)

Notes: 12 columns total. Column [0] is numeric user ID (skip). Columns [6] and [7] are empty in sample and skipped. Breach context confirms Indian travel booking platform with user account data including addresses, phones, and emails.

75.csv

5 columns98,894 rows

File structure

Format: CSV·Delimiter: comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] header is email address, values contain @ symbol and match email format (gmail.com, jd.com domains)
2	suffix	high	[2] header is empty/blank but values contain 'Ms.' which is a salutation/title suffix
3	firstName	high	[3] header is empty/blank but values are common given names (YASIN, Nitesh, Anuradha, mohammed, Yati)
4	lastName	high	[4] header is empty/blank but values are surnames (MOHIDEEN, ABDUL RAZAK, Marjara, Tiwari, khaliq, Bawri)
11	phone	high	[11] header is empty/blank but values are 10-digit Indian mobile phone numbers (7598208158, 9438262776, 8447963651, 9177485105, 6392581470)

Notes: 13 columns total. Columns [0] (numeric user ID), [5-10] (empty), [12] (empty) are skipped as non-PII or unpopulated. Yatra 2019 Indian travel booking breach; phone numbers and email addresses confirm Indian origin.

76.csv

7 columns99,445 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] Values contain @ symbols and are clearly email addresses (gmail.com, yahoo domains, corporate emails)
2	suffix	high	[2] Values are titles: 'Mr', 'Mrs.', 'Mr.' — salutation/suffix field
3	firstName	high	[3] Values are given names: Balaji, Neha, SHIV, ravi, Pranav, Amrita
4	lastName	high	[4] Values are family names: Subramanian, Maney, YADAV, kumar, Punjabi, Rai
5	address1	medium	[5] Sample value 'Yatra.Com 1101-03' suggests address/building information; mostly empty but when populated contains address data
7	city	medium	[7] Sample value 'Gurgoan' (variant spelling of Gurgaon, Indian city); city field mostly empty but populated values are city names
11	phone	high	[11] Values are 10-digit Indian mobile numbers: 8451900852, 9743666660, 9950595563, 7396560040, 9538106042, 8238391804

Notes: Yatra-2019 breach (Indian travel booking platform). Column [0] appears to be user/record ID (skip). Columns [6], [8], [9], [10], [12] are entirely empty in sample and unmapped. No header row provided; analysis based on value patterns. Data is consistently Indian (mobile numbers, cities, email providers).

77.csv

11 columns99,358 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] Values contain @ signs and email domains (gmail.com, rediffmail.com, yahoo.com, ymail.com)
2	suffix	high	[2] Values are 'Mr.', 'Mr', 'Ms' — salutation/title indicators
3	firstName	high	[3] Values are common given names (daulat, SHIVASHANKAR, Parkash, abhishek, GOVIND)
4	lastName	high	[4] Values are surnames (bhansali, MUGALI, Shankar, sharma, JAGIRDAR)
5	address1	high	[5] Values are street addresses (e.g., '1/21 champa nagar beawar')
6	address2	medium	[6] Column typically follows address1, though values appear empty in sample
7	city	high	[7] Values are city names (beawar)
8	state	high	[8] Values are Indian states (Rajasthan)
9	country	high	[9] Values are country names (India)
10	zip	high	[10] Values are 6-digit Indian postal codes (305901)
11	phone	high	[11] Values are 10-digit Indian mobile phone numbers (9414009587, 8586968292, etc.)

Notes: 13 total columns. Column [0] is numeric user ID (skip). Column [12] is empty (skip). Breach context confirms Indian travel booking platform with Indian addresses, phone numbers, and email providers.

78.csv

10 columns98,468 rows

File structure

Format: CSV·Delimiter: comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ signs and match standard email format (Gmail, Hotmail, Yahoo)
2	suffix	high	[2] header 'Mr.' and values are salutations/titles (Mr, Mr)
3	firstName	high	[3] values are common given names (naramalla, Tribhuwannath, Yuthika, APARNA, Bunty)
4	lastName	high	[4] values are surnames (purushotham, Srivastava, Kathuria, RAWAL, Thokchom)
5	address1	high	[5] values are street addresses with house numbers and road names (h.no.22-118/3,saikunta road, chunnambattiwada,mancherial)
7	city	high	[7] values are Indian city names (mancherial)
8	state	high	[8] values are Indian state names (Andhra Pradesh)
9	country	high	[9] values are country names (India)
10	zip	high	[10] values are Indian postal codes/PIN codes (504208)
11	phone	high	[11] values are 10-digit Indian mobile phone numbers (9989145950, 8197557799, 9001714000, 9538916585)

Notes: Yatra.com travel booking platform breach. Column [0] is numeric user ID (skip). Column [6] and [12] are empty (skip). This is a clean Indian user database with addresses, contact info, and names. All PII columns identified.

79.csv

10 columns99,524 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ signs, standard email format (gmail.com, yahoo.co.in, yahoo.com)
2	suffix	high	[2] header 'Mr', values are salutations/titles
3	firstName	high	[3] values are given names (Suresh, AMIIT, adf, Gopal singh, SUNIL, tarun)
4	lastName	high	[4] values are family names (Kumar, AMAR, basdas, Dasana, NAGORI, bhatnagar)
5	address1	high	[5] sample shows 'TATA Consulting Engineers Limited, A-...' — company/street address format
7	city	high	[7] sample value 'Kolkata' is an Indian city
8	state	high	[8] sample value 'West Bengal' is an Indian state
9	country	high	[9] sample value 'India'
10	zip	high	[10] sample value '700091' is a 6-digit Indian PIN code
11	phone	high	[11] values are 10-digit Indian mobile phone numbers (8378982262, 7042265840, 9999999999, etc.)

Notes: Yatra 2019 breach — Indian travel booking platform. Column [0] is numeric user_id (skip). Columns [6] and [12] are empty. No DOB, SSN, username, password, or other sensitive PII detected in sample.

8.csv

12 columns98,921 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] Values contain @ signs, match email format (rediffmail.com, gmail.com, hotmail.com)
2	suffix	high	[2] Header 'Mr', values are salutations (Mr, Mr., etc.)
3	firstName	high	[3] Values are common given names (Abhishek, DILIP, Arun, Vipin, nikhil)
4	lastName	high	[4] Values are surnames (Jain, PATIL, Jayaraman, Katiyar, vaibhav)
5	address1	high	[5] Street addresses (Goyal Nagar, patil hospital, No 24 2nd Cross St, Yatra Office)
6	address2	high	[6] Supplementary address info (near lalbag road, weavers colony)
7	city	high	[7] Indian city names (Indore, karad, Venkata Nagar, Gurgaon, banglore, ranchi)
8	state	high	[8] Indian states (Madhya Pradesh, Maharashtra, Pondicherry, Haryana, Karnataka, Jharkhand)
9	country	high	[9] Country codes/names (IND, India)
10	zip	high	[10] Indian PIN codes (452001, 415110, 605011, 122003, 560027, 834003)
11	phone	high	[11] 10-digit Indian mobile numbers (9926478790, 9822031498, 9443500362, 8446340001)
12	phone	high	[12] Alternate phone numbers, 10-digit or shorter (9922955171, 22238788, 9431079981, 4442055381)

Notes: Yatra 2019 breach. 13 columns total, 12 contain PII (column 0 is user_id, skipped). All data is Indian: Indian addresses, Indian phone numbers, Indian email providers (rediffmail.com, yahoo.co.in), Indian cities/states, country code IND. Column 0 contains auto-incremented numeric IDs. Columns 11 and 12 both map to phone (primary and alternate contact numbers).

80.csv

5 columns99,594 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] Values contain @ signs and are clearly email addresses (gmail.com, yahoo.com domains)
2	suffix	high	[2] Values are 'Mr', a salutation/title prefix
3	firstName	high	[3] Values are common given names (Sahil, Rehana, Nikhil, Amita, Hiten, harsh)
4	lastName	high	[4] Values are surnames (Jain, Islam, Patel, Kumari, Karani, shukla)
11	phone	high	[11] Values are 10-digit Indian mobile numbers (9034567082, 9830674770, 8123895937, etc.)

Notes: 12 columns total. [0] is numeric user ID (skip). [5-10] are empty columns (skip). Columns [1,3,4,11] contain core PII. Column [2] contains salutation. Indian phone numbers and email providers confirm breach context.

81.csv

5 columns99,368 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ symbol and match email format (yahoo.com, rediffmail.com, gmail.com, hotmail.com)
2	suffix	high	[2] values are 'Mr' and empty strings, consistent with salutation/title field
3	firstName	high	[3] values are common given names (Naga, jayadeep, Mayank, sri, Rachit, rabin)
4	lastName	high	[4] values are surnames (Vemula, uppalapati, Prakash, ch, Mehrotra, ray)
11	phone	high	[11] values are 10-digit Indian mobile phone numbers (9491328661, 9930468956, etc.)

Notes: Yatra-2019 travel booking platform breach. Column [0] is numeric user ID (skip). Columns [5-10] and [12] are empty in sample rows (likely address/demographic fields with no data in these particular records, cannot be reliably mapped from empty values alone). Breach context confirms Indian user data with phone numbers, emails, and names.

82.csv

5 columns99,503 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ signs, match email format (gmail.com, rediffmail.com patterns)
2	suffix	high	[2] values are 'Mr.' — salutation/title indicator
3	firstName	high	[3] values are common given names (Alex, Raju, Ravi, Shameer, arun, Manjeet)
4	lastName	high	[4] values are surnames (Thomas, chirra, Puri, Hakk, Saminathan, Dabas)
11	phone	high	[11] values are 10-digit Indian mobile numbers (8893955294, 8754514873, etc.)

Notes: 12 columns total. Column [0] is numeric user_id (skip). Columns [5-10] are empty or contain no sample values (skip). Yatra-2019 Indian travel booking platform breach: email addresses, names, salutations, and Indian phone numbers confirmed.

83.csv

5 columns99,492 rows

File structure

Format: CSV·Delimiter: comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ signs and match email format (gmail.com, rediffmail.com, etc.)
2	suffix	high	[2] values are 'Mr', 'Ms.' — standard salutation/title suffixes
3	firstName	high	[3] header context and values are common given names (Suman, Tapan, Harsha, Anuj, ashish, Divya)
4	lastName	high	[4] values are surnames (KUMAR, Gupta, GC, Ishu, k, Sruthi) following firstName
11	phone	high	[11] values are 10-digit Indian mobile numbers (8147760998, 9344870960, etc.)

Notes: Column [0] is numeric user ID (skip). Columns [5], [6], [7], [8], [9], [10] are mostly empty in sample rows; [7] has one value 'Gurgoan' (city) but insufficient data to confirm address mapping. No address1, address2, city, state, zip, country, dob, ssn, or password columns present in header row sample.

84.csv

10 columns99,394 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ signs, clearly email addresses (gmail.com, rediffmail domains typical of Indian users)
2	suffix	high	[2] header pattern indicates salutation/title, values are 'Mr.' — standard suffix field
3	firstName	high	[3] values are individual given names (jay, AMOD, Anand, Promina)
4	lastName	high	[4] values are individual family names (patel, KESHRI, Singh, steels, Barve)
5	address1	medium	[5] sparse but contains 'Yatra Office' — street/mailing address line
7	city	high	[7] values are Indian cities (Gurgaon)
8	state	high	[8] values are Indian states (Haryana)
9	country	high	[9] values are 'India'
10	zip	high	[10] values are 6-digit Indian PIN codes (122003)
11	phone	high	[11] values are 10-digit Indian mobile numbers (9753038723, 7567739881, etc.)

Notes: 12 columns total. Column [0] is numeric user ID (skip). Column [6] is empty (skip). Remaining 10 columns contain PII. Breach context confirms Indian travel booking platform with Indian phone numbers, cities, states, PIN codes, and email providers.

85.csv

4 columns99,531 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ signs, standard email addresses (gmail.com, yahoo.com, adani.com domains)
3	firstName	high	[3] values are common given names (Mehul, Kranthi, Abhijith, ehtesham, krishna)
4	lastName	high	[4] values are surnames (Rupera, Kumar, Balakrishnan, khan, miglani)
11	phone	high	[11] values are 10-digit Indian mobile numbers (7676662525, 9099002463, 9666698666, 9999999999)

Notes: File has no header row. Column [0] contains numeric user IDs (skip). Columns [2], [5], [6], [7], [8], [9], [10] are predominantly empty in sample rows; [5] shows 'Yatra.Com' (company name, skip); [7] shows 'Gurgoan' (likely city but too sparse to confidently map). Total 12 columns; 4 contain identifiable PII.

86.csv

5 columns99,495 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ symbol, standard email format with common Indian email providers (gmail.com)
2	suffix	high	[2] header empty but values are 'Mr', a salutation/title suffix
3	firstName	high	[3] header empty but values are common given names (Shalender, MANJIT, Prakash, Madhuri, Dipak)
4	lastName	high	[4] header empty but values are family names (Sharma, Wadhwani, Salgaonkar, Sarda)
11	phone	high	[11] values are 10-digit numbers consistent with Indian mobile phone format (9822264981, 9867683858, etc.)

Notes: Yatra 2019 breach — Indian travel booking platform. Columns [0], [5], [6], [7], [8], [9], [10] are mostly empty in sample and mapped as skip. Column [0] appears to be user_id (numeric, auto-generated). Columns [5]-[10] likely contain address fields (company name, address components, state) but are predominantly empty in provided sample; if populated in full dataset, would map as address1, city, state, country, zip. File structure suggests 12 total columns.

87.csv

5 columns99,330 rows

File structure

Format: CSV·Delimiter: comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] header is email address, values contain @ symbol and are clearly email addresses from Indian providers (gmail.com, yahoo.com, yahoo.co.in, rediffmail.com)
2	suffix	high	[2] values are 'Mrs.' and similar salutations/titles
3	firstName	high	[3] values are common given names (Ravi, Sesha, UDAY, avais)
4	lastName	high	[4] values are surnames/family names (Vadrevu, Kaushik, KAMAT, ahmmed)
11	phone	high	[11] values are 10-digit Indian mobile phone numbers (8168014290, 8104192360, 9676142910, etc.)

Notes: Yatra 2019 travel booking breach. Column [0] is numeric user ID (skip). Columns [5-10] are empty in sample rows. Columns [3] and [4] sometimes contain full names or single names, but mapped as firstName/lastName based on context and breach description mentioning 'first and last names' fields.

88.csv

9 columns99,329 rows

File structure

Format: CSV·Delimiter: comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ symbol and are clearly email addresses (gmail.com, yahoo.co.in domains)
3	firstName	high	[3] header pattern suggests given name, values are common Indian first names (Dhiarj, RUshi, Amit, ramakrishna)
4	lastName	high	[4] values are surnames (Patel, Kumar, reddy) paired with firstName column
5	address1	high	[5] values include street-level addresses (Yatra Office)
7	city	high	[7] values are Indian cities (Gurgaon)
8	state	high	[8] values are Indian states/provinces (Haryana)
9	country	high	[9] values are country names (India)
10	zip	high	[10] values are Indian postal codes/PIN codes (122003)
11	phone	high	[11] values are 10-digit Indian mobile numbers (9766032846, 9554629112, 9999999999)

Notes: Yatra travel booking platform breach from India. Column [0] is numeric user_id (skip). Columns [2] and [6] are empty (skip). Remaining columns map to core PII: email, name, address components, and phone.

89.csv

10 columns99,526 rows

File structure

Format: CSV·Delimiter: comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] header '[email protected]' is sample email; all values contain @ signs and are valid email addresses
2	suffix	high	[2] values are 'Mr.' — salutation/title indicator
3	firstName	high	[3] values are single given names (Shaik, sambath, Ganesh)
4	lastName	high	[4] values are surnames (Chand, koshy, Venkatraman)
5	address1	high	[5] values are street addresses (Yatra Office)
7	city	high	[7] values are Indian cities (Gurgaon)
8	state	high	[8] values are Indian states (Haryana)
9	country	high	[9] values are country names (India)
10	zip	high	[10] values are 6-digit Indian PIN codes (122003)
11	phone	high	[11] values are 10-digit Indian mobile phone numbers (8805477500, 9394706583, 9629178770)

Notes: Yatra 2019 breach — Indian travel platform. 13 total columns. Column [0] is numeric user_id (skip). Columns [6] and [12] are empty (skip). Mapped 10 PII columns: email, suffix, firstName, lastName, address1, city, state, country, zip, phone.

9.csv

12 columns99,258 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ symbol and email domains (gmail.com, yahoo.co.in); clearly email addresses
2	suffix	high	[2] header 'Mr', values are salutations/titles (Mr)
3	firstName	high	[3] values are common given names (Vinod, Viraf, Rahul, JAYANT, Manish, Nipom)
4	lastName	high	[4] values are family names (Gandhi, Chinoy, Raghavan, KUMAR, Jaiswal, Boruah)
5	address1	high	[5] values contain street/building addresses (E2/506 Bharat Nagar, #218 Rich field appt., etc.)
6	address2	high	[6] values contain secondary address components (342 Grant Road, ORR Marathahalli, etc.)
7	city	high	[7] values are Indian city names (Mumbai, BHARUCH, Bangalore, Guwahati)
8	state	high	[8] values are Indian state names (Gujarat, karnataka, Assam)
9	country	high	[9] values are country codes (IND, IN) representing India
10	zip	high	[10] values are 6-digit Indian postal codes (400007, 392001, 560037, 781003)
11	phone	high	[11] values are 10-digit Indian mobile phone numbers (9322230917, 9820636090, etc.)
12	phone	high	[12] values are 10-digit Indian alternate phone numbers (9820636090, 8040998026, etc.); duplicate phone column

Notes: 13 columns total, 12 contain PII. Column [0] is numeric user_id (skip). File is structured user account records from Yatra.com breach with Indian user data. Columns [11] and [12] are both phone numbers (primary and alternate mobile).

90.csv

4 columns99,450 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] All values contain @ symbol and match email format (gmail.com, yatra.com, yahoo.in domains)
3	firstName	high	[3] Values are single given names (mohd, Padma, krishna)
4	lastName	high	[4] Values are surnames (faisal, BHIMIREDDY, Ghadhi, kumar)
11	phone	high	[11] All values are 10-digit numbers consistent with Indian mobile phone format

Notes: File contains 12 columns. Column [0] is numeric user ID (skip). Columns [2] contains salutation/title (Mr.) — mapped as suffix would be appropriate but values are minimal; however, per instructions, only PII fields are included, so this is excluded. Columns [5-10] are empty in all sample rows (skip). Breach context confirms Indian travel booking platform with Indian addresses, emails, and phone numbers.

91.csv

4 columns99,483 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ signs and match email format (gmail.com, yahoo.co.in, rediffmail.com, sbi.co.in)
3	firstName	high	[3] values are common Indian given names (Chandrasekhar, Umesh, Rohit, Anju, Acharya)
4	lastName	high	[4] values are common Indian surnames (Reddy, Pati, Bhardwaj, Sawai, Ashwin)
11	phone	high	[11] values are 10-digit numbers matching Indian mobile phone format (7066820264, 9989131113, 8468895380, etc.)

Notes: 13 columns total; 4 contain PII. Column [0] appears to be numeric user IDs (skip). Columns [2], [5], [6], [7], [8], [9], [10], [12] are empty or contain no readable data. Breach context confirms Indian travel platform with Indian addresses, phone numbers, and email providers.

92.csv

10 columns99,463 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ signs and email domains (gmail.com, yahoo.co.in); clear email addresses
2	suffix	high	[2] values are 'Mr.' and empty strings; salutation/title indicator
3	firstName	high	[3] header position and values are common given names (Anita, Amrita, lindaj, Satish, ilangovan)
4	lastName	high	[4] header position after firstName; values are surnames (Behera, Bais, bos, Sasanapuri, ramakrishnan)
5	address1	high	[5] street/mailing address field; contains 'Yatra Office' and mostly empty values
7	city	high	[7] values are Indian city names (Gurgaon); city field in standard address structure
8	state	high	[8] values are Indian state names (Haryana); state field in standard address structure
9	country	high	[9] values are 'India'; country field
10	zip	high	[10] values are Indian PIN codes (6 digits: 122003); postal code field
11	phone	high	[11] values are 10-digit Indian mobile numbers (9925224870, 9952400470, etc.); mobile phone field

Notes: Yatra travel booking platform breach (2019). 13 columns total, 11 contain PII. Column [0] is numeric user ID (skip). Columns [6] and [12] are empty (skip). Indian addresses confirmed by PIN codes, Indian phone numbers, Indian cities/states, and Indian email providers.

93.csv

4 columns99,346 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] Values contain @ signs and are valid email addresses (gmail.com, rediffmail patterns consistent with Indian breach context)
3	firstName	high	[3] Header absent but values are common given names (Vamsi, SOWMYA, Gokul, sheetal, Debiprasanna)
4	lastName	high	[4] Header absent but values are common surnames (Krishna, KUMAR, Sampath, sharma, Mahanta)
11	phone	high	[11] 10-digit numbers matching Indian mobile phone format (9790712356, 9840402744, etc.)

Notes: 13 columns total. [0] is internal user_id (skip). [2], [5], [6], [7], [8], [9], [10], [12] are empty or non-PII (skip). Yatra-2019 breach context confirmed: Indian phone numbers, Indian email providers, consistent with travel platform user records.

94.csv

12 columns99,143 rows

File structure

Format: CSV·Delimiter: comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] header is email address, all values contain @ symbol and are valid email addresses
2	suffix	high	[2] header 'Mr'/'Ms', values are salutations (Mr, Ms)
3	firstName	high	[3] values are given names (Arumugaperumal, Raviprakash, Amin, mayank, Kanupriya, jayesh)
4	lastName	high	[4] values are family names (chelliah, Baruah, MERCHANT, shah, Bhardwaj, parmar)
5	address1	high	[5] header contains street address, values are building/street addresses with street numbers and names
6	address2	high	[6] values are neighborhoods/sub-localities (Ambur, SANTACRUZ, Janakpuri, Mirchandani Gardens)
7	city	high	[7] header 'city', values are Indian city names (Ambasumdaram, guwahati, MUMBAI, New Delhi)
8	state	high	[8] header 'state', values are Indian state names (Tamilnadu, Assam, Maharashtra, Delhi)
9	country	high	[9] all values are 'IND' (India country code)
10	zip	high	[10] header contains postal code, values are 6-digit Indian PIN codes
11	phone	high	[11] values are 10-digit Indian mobile numbers (9787005915, 9864012243, etc.)
12	phone	high	[12] alternate phone number column, values are phone numbers (some blank, some 10-digit)

Notes: 13 columns total. Column [0] is a numeric user ID (skip). All other columns map to PII fields. This is Indian travel booking platform data with complete address records and phone numbers.

95.csv

13 columns99,152 rows

File structure

Format: CSV·Delimiter: comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
0	skip	high	[0] header '1993765', values are sequential numeric IDs (1993765-1993770), characteristic of auto-generated user_id/record_id
1	email	high	[1] header '[email protected]', all values contain @ symbol, valid email addresses from Indian providers (yahoo.in, gmail.com, rediffmail.com)
2	suffix	high	[2] header 'Mr', values are salutation titles (Mr, Mrs), classic suffix/title field
3	firstName	high	[3] header 'VASUDEVAN', values are common given names (Biju, Dinesh, vivek, PARAMITA, Satpal)
4	lastName	high	[4] header 'KRISHNAN', values are surnames (vatavathi, kumar, malik, DAS, Singh)
5	address1	high	[5] header 'AIKKARASERIL PALLARIMANGALAM...', values are street addresses (full mailing addresses with building/locality details, Indian format)
6	address2	high	[6] header 'AIKKARASERIL PALLARIMANGALAM...', values are secondary address components (locality/area names: REYAMI, LODI ROAD)
7	city	high	[7] header 'MAVELIKARA', values are Indian city names (ERNAKULAM, chennai, new delhi, BHILAI, Mumbai)
8	state	high	[8] header 'Kerala', values are Indian state names (Kerala, Tamilnadu, Delhi, Chhattisgarh, Maharashtra)
9	skip	high	[9] header 'IND', all values are 'IND' (country code constant), non-variant flag field
10	zip	high	[10] header '690107', values are 6-digit Indian postal codes (PIN codes: 682011, 600104, 110085, 491006, 400028)
11	phone	high	[11] header '9328112572', values are 10-digit Indian mobile numbers (9746678670, 9840310039, 9891398331, 9163669229, 9827873816)
12	phone	high	[12] header '' (empty), values are 10-digit Indian phone numbers (9746678670, 9962443677, 9830168804, 9819217173, 9796742972), alternate/secondary phone field with some empty cells

Notes: 13 columns total. Yatra-2019 travel booking platform breach containing Indian user account records. All phone numbers are Indian format (10 digits starting with 9). All addresses, cities, states, and postal codes are Indian. 11 PII columns mapped (email, suffix, firstName, lastName, address1, address2, city, state, zip, phone, phone). Column [9] is constant country code 'IND' (skip). Column [0] is sequential numeric user ID (skip).

96.csv

12 columns99,410 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ signs; email addresses from Gmail, IIT, corporate domains
2	suffix	high	[2] header/values are 'Mr' — salutation/title prefix
3	firstName	high	[3] values are given names: ARUN, VSKmurthy, mithilesh, MURALI, virendra
4	lastName	high	[4] values are family names: KUMAR, Balijepalli, prasad, dharan, pandey
5	address1	high	[5] values are street addresses: '1A kannan avenue', 'IIT Bombay', '46assamrifle', 'C-1/202, NILGIRI GARDEN'
6	address2	high	[6] values are secondary address components: apt/suite/unit lines like 'c/o99a.p.o', 'SECTOR 24, AMRA ROAD, C.B.D.BELAPUR'
7	city	high	[7] values are Indian cities: chennai, Mumbai, tezpur, delhi, NAVI MUMBAI
8	state	high	[8] values are Indian states: Tamil Nadu, Maharashtra, Assam, Delhi
9	country	high	[9] values are country codes: IND, IN (India)
10	zip	high	[10] values are 6-digit Indian postal codes: 600063, 400076, 784110, 110096, 400614
11	phone	high	[11] values are 10-digit Indian mobile numbers: 7299926890, 9967178363, 9864806036, 9970050045
12	phone	high	[12] values are 10-digit Indian phone numbers (alternate); same format as [11]

Notes: 13 columns total. Column [0] is numeric user_id (internal identifier, skipped). Columns [11] and [12] both map to phone as they represent primary and alternate phone numbers. All data is Indian in origin (Yatra travel platform breach). No DOB, SSN, username, or password fields present in sample.

97.csv

12 columns51,771 rows

File structure

Format: CSV·Delimiter: comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] header '[email protected]' contains @ symbol; all values are email addresses from Indian providers (yahoo.co.in, yahoo.com, gmail.com)
2	suffix	high	[2] header 'Mr'; all values are salutations/titles (Mr, Mrs, Ms)
3	firstName	high	[3] header 'MOHIT'; values are given names (Mohit, Sonaal, shubhamoy, wrickban, vinoy, Satish)
4	lastName	high	[4] header 'GUPTA'; values are family names (Gupta, Goel, Mukherjee, mazumdar, vincent, Mishra)
5	address1	high	[5] street addresses: 'E-165 GREATER KAILASH PART-2', 'Virat House', 'madhpur', 'flat no.-104.shahi palace'
6	address2	high	[6] secondary address lines: '49/1 Kishanpur', 'near kulharia complex.ashok rajpath.' — continuation of address blocks
7	city	high	[7] Indian cities: NEW DELHI, Dehradun, hyderabad, patna
8	state	high	[8] Indian states/territories: DELHI, Uttarakhand, 'Andaman and Nicobar Islands', Bihar
9	country	high	[9] country codes: 'IN', 'IND' (India)
10	zip	high	[10] Indian PIN codes: 110048, 248001, 123456, 800001
11	phone	high	[11] Indian mobile numbers (10 digits starting with 9): 9810779217, 9411570350, 8939900215, 9830411474
12	phone	high	[12] alternate phone numbers (mix of mobile and landline): 9810779217, 1147020804, 2677097, 7923290121

Notes: Yatra 2019 travel booking platform breach. All 13 columns contain PII. Column [0] (user IDs) automatically skipped as internal identifier. Data is entirely Indian: addresses, phone numbers, email providers (yahoo.co.in, gmail.com), cities (Delhi, Dehradun, Hyderabad, Patna), and states (Delhi, Uttarakhand, Bihar) confirm Indian user base. Columns [5] and [6] form complete street addresses. Columns [11] and [12] are both phone fields — [11] appears primary, [12] alternate contact.

98.csv

11 columns10,440 rows

File structure

Format: CSV·Delimiter: comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] header '[email protected]' is an email address; all values contain @ and are valid email addresses
2	suffix	high	[2] header 'Mr'; values are salutations (Mr, Mr., etc.)
3	firstName	high	[3] header 'shaikh'; values are common given names (ramasamy, jamie, sridher, sandeep, gurpreet)
4	lastName	high	[4] header 'mdrehan'; values are surnames (muthukrishnan, chithung, kumar, singh)
5	address1	high	[5] values are street addresses (v.p.o- wadala veeram, Yatra.Com 1101-03, New BEL Road, 203-A sector)
7	city	high	[7] values are Indian cities (amritsar, gurgoan, bangalore, hsr, bhopal)
8	state	high	[8] values are Indian states (Punjab, Karnataka, Haryana, Madhya Pradesh)
9	country	high	[9] values are country codes/names (India, IND)
10	zip	high	[10] values are 6-digit Indian postal codes (143601, 560094, 125005, 462023)
11	phone	high	[11] values are 10-digit Indian mobile numbers (9892667779, 9840013010, 8586054672, 9597165868)
12	phone	high	[12] values are 10-digit Indian mobile numbers; alternate phone field

Notes: 13 columns total, 10 contain PII. Column [0] is a numeric user ID (skip). Columns [6] are empty (skip). Yatra 2019 Indian travel booking breach with typical user profile data: name, email, address, and phone numbers.

99.csv

10 columns96,105 rows

File structure

Format: CSV·Delimiter: comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] All values contain @ symbol and email domain patterns (gmail.com, yahoo.com, etc.)
2	suffix	high	[2] Values are salutations/titles: 'Mr', 'Mr.', 'Mrs' — matches suffix field type
3	firstName	high	[3] Values are individual given names: 'SUBASH', 'prasad', 'kareem', 'Talat', 'jinesh'
4	lastName	high	[4] Values are family names: 'SUBRAMANIYAM T', 'jadhav', 'mullah', 'Taj', 'sheth'
5	address1	high	[5] Values are street addresses: 'At Post:- Sakurede' — primary address line
6	zip	high	[6] Values are 6-digit Indian PIN codes: '412303', '8600014818' appears to be phone mixed in row
7	city	high	[7] Values are Indian city names: 'chennai'
8	state	high	[8] Values are Indian state names: 'Tamilnadu', 'Maharashtra'
9	country	high	[9] Values are 'India' — country field
11	phone	high	[11] All values are 10-digit Indian mobile numbers: '8123740534', '9003054257', '9821842298', '9654990353', '9901665970'

Notes: 13 columns total, 10 contain PII. Column [0] contains numeric user IDs (skip). Column [10] and [12] are empty/non-PII (skip). Column [6] appears to have mixed data (both 6-digit PIN and 10-digit phone in different rows) — mapped as zip based on header position and primary values. Breach context confirms Indian travel booking platform with user account records.

tuser__1_.csv

12 columns198,934 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] All values contain @ symbol and match standard email format (gmail.com, yahoo.com, tatkal.in, etc.)
3	suffix	high	[3] Header 'Mr.' and values are salutation/title markers (Mr, Mr.)
4	firstName	high	[4] Common given names (Deepak, Milind, Jaya, Upendra, Sharique) matching Indian naming patterns
5	lastName	high	[5] Surname values (Kulkarni, Krishnan, Singh, Ahmad) following first names in typical name order
6	address1	high	[6] Street addresses with building/house numbers and locality names (484/75 Sawali, F-13 Ravindra Bhawan, HN 933 Sunita Nagar)
7	address2	high	[7] Secondary address components (neighborhood/area names: Mitramandal Colony, Surabhi Nagar, Wadgaonsheri)
8	city	high	[8] Indian city names (Pune, Haridwar, Kochi)
9	state	high	[9] Indian state abbreviations and names (Maharashtra, Uttarkhand)
10	country	high	[10] Country codes (IND, IN) indicating India
11	zip	high	[11] Indian postal/PIN codes (411009, 247667, 411014) — 6-digit format standard for India
12	phone	high	[12] Indian mobile phone numbers (10 digits, starting with 7-9 as per Indian telecom standards: 9428330969, 9765361020, 9811178409, 9820296136)
13	phone	high	[13] Alternate/secondary Indian mobile phone numbers (10-digit format: 2024459307, 9446740168)

Notes: Yatra.com travel platform breach (2019). 14 columns total, 11 contain searchable PII. Column [0] is numeric user ID (skip). Column [2] appears to be internal username/platform identifier (skip). File has no header row. All addresses, phone numbers, and email providers confirm Indian origin as documented in breach context.

tuser__2_.csv

10 columns99,035 rows

File structure

Format: CSV·Delimiter: comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] header is email address, values contain @ signs and are clearly email addresses (yahoo.co.in, gmail.com)
2	suffix	high	[2] header 'Mr', values are salutations/titles (Mr)
3	firstName	high	[3] header 'shyamal', values are common given names (Vijay, jitendra, Bhalchandra, ajay, Aditya)
4	lastName	high	[4] header 'bandyopadhyay', values are surnames (Vijay, jain, Badve, oberoi, Aditya)
5	address1	high	[5] header 'P-12 nilachal complex...', values are street addresses (P-12 nilachal complex, 504 Shanti Kamal Bldg, House No-2328)
6	address2	high	[6] header blank, values appear to be secondary address info (Dr. B. A. Road, Chinchpokli)
7	city	high	[7] header 'kolkata', values are Indian city names (Mumbai, tilak nagar, Mohali)
8	state	high	[8] header 'West Bengal', values are Indian states (Maharashtra, Delhi, Punjab)
10	zip	high	[10] header '700103', values are 6-digit Indian PIN codes (400012, 110018, 160065)
11	phone	high	[11] header '9546274404', values are 10-digit Indian mobile numbers (9833222314, 9819739937, 8939136619)

Notes: 13 columns total, 10 contain PII. Column [0] is numeric user_id (skip). Column [9] is country code 'IND' (skip). Column [12] is empty (skip). All PII fields mapped including Indian addresses, phone numbers, and email addresses consistent with Yatra.com travel booking platform breach context.

tuser__3_.csv

12 columns99,150 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] Values contain @ symbols and match email format ([email protected], [email protected], etc.)
2	suffix	high	[2] Header 'Mr', consistent salutation/title across all rows
3	firstName	high	[3] Values are given names (SWAMINATHAN, Venugopal, aswin, asif, TANMOY, Chelaram)
4	lastName	high	[4] Values are family names (LANKA, Thangamuthu, fernandis, masud, CHOWDHURY, Choudary)
5	address1	high	[5] Street addresses (#28-7-6 ANNADANA SAMAJAM ROAD, 24 Bharathi Nagar, orthodox church center sector 10 a, BARRACKPORE)
6	address2	high	[6] Secondary address component (Opp: AMBEDKAR BHAVAN ARUNDELPET, Kovaipudur)
7	city	high	[7] Indian city names (VIJAYAWADA, Coimbatore, navi mumbai, KOLKATA)
8	state	high	[8] Indian states (Andhra Pradesh, Tamilnadu, Maharashtra, West Bengal)
9	country	high	[9] Country codes (IND, IN) representing India
10	zip	high	[10] Indian PIN codes (520002, 641042, 400703, 700122)
11	phone	high	[11] 10-digit Indian mobile numbers (9347406048, 9894019632, 9210920151, etc.)
12	phone	high	[12] Alternate phone numbers, 10-digit format matching Indian numbering, some empty cells allowed

Notes: 13 columns total, 12 contain PII. Column [0] (numeric IDs like 2569869) is skipped as internal user_id. Data confirmed Indian travel booking platform (Yatra) with Indian addresses, phone numbers, email providers (yahoo.co.in, rediffmail.com), and city/state references.

tuser__4_.csv

12 columns99,200 rows

File structure

Format: CSV·Delimiter: comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] header '[email protected]' contains @ signs, all values are valid email addresses
2	suffix	high	[2] values are 'Mr', 'Ms' — salutation/title indicators
3	firstName	high	[3] values are given names: 'Venugopal', 'Manoj', 'Molle', 'Anil', 'sateeshkumar' — first name column
4	lastName	high	[4] values are family names: 'Joshi', 'Sethi', 'kumar', 'Kulkarni' — last name column
5	address1	high	[5] values are street/building details: 'sotla', 'Shop No 5', 'delhi', '201 Batavia Chambers' — primary address line
6	address2	high	[6] values are secondary address components: 'Sector 14', 'Kumarakrupa Road' — secondary address line
7	city	high	[7] values are Indian city names: 'hoshiarpur', 'Gurgaon', 'Delhi', 'Bangalore'
8	state	high	[8] values are Indian states: 'Punjab', 'Haryana', 'Delhi', 'Karnataka'
9	country	high	[9] values are country codes: 'IND', 'IN' — country identifier
10	zip	high	[10] values are 6-digit postal codes: '144210', '122001', '110001', '560001' — Indian PIN codes
11	phone	high	[11] values are 10-digit phone numbers: '9716203040', '7666519936' — mobile numbers
12	phone	high	[12] values are 10-digit phone numbers: '9999410009' — alternate/secondary phone

Notes: Yatra.com 2019 breach. Column [0] is numeric user ID (skipped). All other columns contain valid PII. Indian addresses, email providers (gmail.com, yahoo.co.in), and phone format (10 digits starting with 7-9) confirm Indian travel booking records.

tuser__5_.csv

12 columns98,921 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ symbols and email domain patterns (gmail.com, yahoo.co.in, hotmail.com)
2	suffix	high	[2] header/values are 'Mr', 'Mrs' — salutations/titles
3	firstName	high	[3] values are given names (Anjana, Pranay, viswanathan, sajad, Gopal)
4	lastName	high	[4] values are family names (Naskar, Sinha, vijaya, sofi, Raju)
5	address1	high	[5] values are street addresses (J.P.Nagar, F 401 SBOQ)
6	address2	high	[6] values are secondary address components (Sector 17, Vashi)
7	city	high	[7] values are Indian city names (Bangalore, Navi Mumbai)
8	state	high	[8] values are Indian state abbreviations/names (Karnataka, Maharashtra)
9	country	high	[9] values are country codes (IN, IND) — all India, consistent with breach context
10	zip	high	[10] values are Indian PIN codes (560078, 400705)
11	phone	high	[11] values are 10-digit Indian mobile numbers (8600520494, 9433498635, etc.)
12	phone	high	[12] values are 10-digit alternate phone numbers (4422243847)

Notes: 13 columns total. Column [0] is numeric user ID (skip). All addresses, phone numbers, and email domains are Indian in origin, consistent with Yatra 2019 breach context. Suffix field indicates formal salutation data.

tuser__6_.csv

12 columns98,887 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] values contain @ signs, clearly email addresses from Indian providers (rediffmail.com, gmail.com, hotmail.com)
2	suffix	high	[2] header 'MR', values are titles (Mr, MR)
3	firstName	high	[3] values are common given names (RAHUL, Jagadish, Krishnamurthy, shaikh, bhanumurthy, Rajeev)
4	lastName	high	[4] values are surnames (NIGAM, Prabhala, Viswanathan, sayeed, govindu, Sharma)
5	address1	high	[5] values contain street addresses and building details (Basement 25Vishwas Market, 267 jawahar nagar, 7/104 Prithvi Brahmand)
6	address2	high	[6] values contain secondary address components (Ghodbunder Road, landmarks, street names)
7	city	high	[7] values are Indian city names (Lucknow, moulali, THANE, Bangalore, nagpur)
8	state	high	[8] values are Indian states (Uttar Pradesh, Andhra Pradesh, MAHARASHTRA, Karnataka)
9	country	high	[9] values are country codes (IN, IND) indicating India
10	zip	high	[10] values are 6-digit Indian PIN codes (226020, 500040, 400607, 560032)
11	phone	high	[11] values are 10-digit Indian mobile numbers (9415049287, 9903138911, 9654426143)
12	phone	high	[12] values are 10-digit Indian mobile numbers, alternate phone field (9905417398, 9945567054, 9441231084)

Notes: Yatra 2019 breach. Column [0] is numeric user_id (skip). All other columns contain searchable PII from Indian travel booking records.

tuser__7_.csv

12 columns98,763 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] Values contain @ signs and match standard email format (gmail.com, rediffmail.com, yahoo.com)
2	suffix	high	[2] Header is 'Mr', all values are titles/salutations
3	firstName	high	[3] Header appears to be first name position, values are common Indian given names (Siddhartha, Vanshika, SATYENDRA, etc.)
4	lastName	high	[4] Header appears to be last name position, values are common Indian surnames (Bhargava, Saksena, JAIN, SUBRAMANIAM, etc.)
5	address1	high	[5] Values match street address format (D-1, 11A 3rd Cross 1st Main, D-No 38-34-1 marripalem, Milan apartment thatipur)
6	address2	high	[6] Values are locality/area names (Defence Colony, KHB Colony Basaveshwara Nagar, daman)
7	city	high	[7] Values are Indian city names (New Delhi, Bangalore, Visakhapatnam, Gwalior, daman)
8	state	high	[8] Values are Indian states/territories (Delhi, Karnataka, Andhra Pradesh, Madhya Pradesh, Daman and Diu)
9	country	high	[9] Values are country codes/names (IND, India) consistent with breach context
10	zip	high	[10] Values are 6-digit Indian PIN codes (110024, 560079, 530018, 474011, 396210)
11	phone	high	[11] Values are 10-digit Indian mobile numbers (8126968932, 8600600843, 9879966325, etc.)
12	phone	high	[12] Values are 10-digit Indian phone numbers (alternate/secondary phone, some 7-10 digits)

Notes: Yatra 2019 breach data. Column [0] is numeric user ID (skip). 12 PII columns identified mapping to complete user profiles with email, name, address, and phone contact information. All addresses and phone numbers confirmed as Indian per breach context.

tuser__8_.csv

11 columns98,470 rows

File structure

Format: CSV·Delimiter: comma·Has header: yes·Quote: "

Source column	Mapped field	Confidence	LLM assessment
1	email	high	[1] header 'email' (inferred), values contain @ signs and email domains (gmail.com, yahoo.co.in, whsmith.co.uk)
2	suffix	high	[2] header 'salutation/title', values are honorifics (Mr, Mrs, Dr)
3	firstName	high	[3] header 'first_name' (inferred), values are common given names (Mathew, Shailendra, Ankur, SANTOSH)
4	lastName	high	[4] header 'last_name' (inferred), values are surnames (Edes, Singh, Bhatnagar, BHARTI, ARUL)
5	address1	high	[5] header 'address1' (inferred), values are street addresses (65 Riverpark Drive, 229 G.Floor Mandakini Enclave, Flat 131)
6	address2	high	[6] header 'address2' (inferred), values are secondary address components (C-58/21 Sector 62, BY PASS ROAD)
7	city	high	[7] header 'city' (inferred), values are Indian city names (New Delhi, Noida, MUMBAI, MADURAI, surat)
8	state	high	[8] header 'state' (inferred), values are Indian states (Delhi, UP, Maharashtra, Tamilnadu, Gujarat)
9	country	high	[9] header 'country' (inferred), values are country codes (GB, IND, IN)
10	zip	high	[10] header 'zip/PIN' (inferred), values are postal codes (SL7 1QT, 110019, 201301, 400005, Indian PIN formats)
11	phone	high	[11] header 'mobile' (inferred), values are 10-digit Indian mobile phone numbers (7792166476, 9873338291, 8010609426)

Notes: Yatra 2019 breach — Indian travel platform. 13 columns total, 11 contain PII. Column [0] is numeric user_id (skip). Column [12] contains incomplete phone numbers/data (skip). All addresses, emails, and phone numbers are consistent with Indian geography and telecom formats.

tuser__9_.csv

13 columns98,929 rows

File structure

Format: CSV·Delimiter: comma·Has header: no·Quote: "

Source column	Mapped field	Confidence	LLM assessment
0	skip	high	[0] Sequential numeric user IDs (2816970, 2816971, etc.) — internal identifier pattern
1	email	high	[1] Values contain @ symbols and email domain patterns (gmail.com, yahoo.co.in, verizon.net, hotmail.com)
2	suffix	high	[2] Header 'Mr' and values are salutation/title prefixes (Mr, Mr, Mr) — common Indian address convention
3	firstName	high	[3] Common given names (SESHADEV, Anil, Luke, Ambarish, Sahil, mohit) — typical first name values
4	lastName	high	[4] Family names (RAY, Puri, Hay, Bhusari, Ravjit, wasson) — typical last name values
5	address1	high	[5] Street-level addresses (332 khajor road, 155 Victoria Drive, Flat B-104 Prime Heights, house no. 323 sector-71 mohali, c-9/6 sector-8 rohini)
6	address2	medium	[6] Suburb/locality names (Jimboomba, Sus Road Pashan) — secondary address component
7	city	high	[7] City/locality names (karol bagh, Logan City, PUNE, mohali, delhi) — Indian and international cities
8	state	high	[8] State/province names (Delhi, Queensland, Maharashtra, Punjab) — Indian states and international provinces
9	country	high	[9] Country codes and names (India, IND, AU, IN) — country identifiers
10	zip	high	[10] Indian postal codes and international postcodes (110005, 4280, 411045, 160071, 110085) — ZIP/PIN patterns
11	phone	high	[11] Indian mobile numbers (9439559613, 9810013834, 9797186126, 9890923172, 9930022115) — 10-digit pattern starting with 9, typical Indian mobile format
12	phone	high	[12] Alternate phone numbers (9814361138, 1127941766) — secondary contact numbers

Notes: Yatra.com 2019 breach. 13 columns total, 11 contain searchable PII (email, names, addresses, phone, country). Column [0] is numeric user ID (skip). Suffix column indicates formal Indian address format. Multiple phone columns indicate primary and alternate contact numbers common in Indian travel booking data.

Articles about this breach

Yatra leak exposes contact details for 10.6 million Indian travelers

Apr 28, 2026

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