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Gart Research

Personal data leaks

Every recorded case of a company or public body that lost, exposed or handed over data on private people: what left, how it got out, what followed, and the database behind it.

Data collection

The law requires companies to keep a file on you.

The result is a large number of databases that commonly hold a passport, a photo and a home address.

Personal data leaks

Those databases keep leaking.

209leaks on record
117included home addresses
79included national ID numbers
31left through a third-party vendor
40followed by an extortion demand
$200price per customer record paid to bribed staff
Search the leak record → Leak record as of 19 October 2026.
Open data

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Credit line

Source: gart.io

  • The records summarize public reporting. The linked articles belong to their publishers.
  • Tell us where you used the data if you can. We read what gets built on it and we correct what you find wrong.

API

  • Data leaks
    sqlite-leaks.gart.io/api/leaks
    Every published incident as JSON: when, who, what left, how, what followed and source links.
  • It answers a plain GET without a key.
Research method

Every entry links to its public source.

01

Public sources only

Every entry is a publicly reported incident with a link to its source.

02

Real numbers are higher

Many attacks and leaks are never reported. We estimate the real numbers are several times what the records show, so read every count here as a minimum.

03

Claims stay claims

Figures are the ones the company, the authorities or the researchers who found the data reported. What an attacker says is marked as a claim.

04

Four steps

We read every physical attack in four steps: targeting, how the attackers chose the victim; approach, how they got to the victim; attack, the type of attack; and outcome, how it ended and what the attackers obtained.

05

Labels

Each of the 4 steps has a fixed set of labels. A case can carry more than one label in each step, for example Attack: home invasion, followed by kidnapping.

06

Open to correction

If an entry is wrong or missing, write to us and we will check it against the sources.

Report a case or an error →
Glossary

The labels of the leak record.

The labels of each leak. A leak can carry more than one data and aftermath label.

Who held the data

Sector

Finance
Banks, payment and money transfer firms, brokers, investment platforms, wealth managers, lenders, credit bureaus and insurers.
Identity vendors
Companies that verify identity for other companies.
Government
Public bodies, registers, tax offices and police.
Crypto
Exchanges, wallet makers, crypto ATMs, on-ramps and their vendors.
Luxury
Luxury retailers, fashion houses, jewellers, auction houses and makers of luxury cars.
Other
Any other holder of personal data.

Verification

Confirmed
The holder or a public authority confirmed the incident.
Reported
Reported by a named publication or researcher; the holder has not confirmed or has said little.
Claimed
Rests on what the attacker or seller says. The text marks the figures as a claim.
Disputed
The named holder denies that the data is its own or that it was breached. The text carries the denial.

How the data left

Leak type

Theft
An outsider took the data: intrusion, stolen credentials, a breach at a vendor, or staff tricked into giving access.
Handover
The holder released the data itself to a requester who was not who they claimed to be: a fraudulent emergency data request, a forged subpoena or court order, a fake regulator or auditor.
Insider
A person with legitimate access (employee, former employee, contractor) copied, sold or passed on the data.
Exposure
The data was left reachable without a break-in: an open database, a public storage bucket, a misdirected export.
Compilation
A file assembled from earlier leaks and offered as one set.
Unknown
The sources do not say how the data left.

Vector

Fake legal request
Fraudulent emergency data request (EDR), forged subpoena, warrant or court order, usually sent from a compromised police or government mailbox.
Pretexting
Staff talked into releasing data or access by someone posing as a customer, colleague or supplier: voice phishing, support-desk social engineering.
Bribed insider
Staff or a contractor paid by an outsider to copy records.
Rogue insider
Staff, former staff or a contractor acting on their own, including access that was never revoked.
Third party
The data left through a vendor or processor (support desk, email, shipping, e-commerce, banking, claims), or through the holder's account at that vendor.
Open storage
A database or storage bucket readable from the internet without a password.
Software flaw
A vulnerability in the holder's own systems or in software it runs.
Account takeover
Stolen or guessed credentials, access tokens or API keys used to log in, including a SIM swap of a staff phone number.
Compilation
Assembled from earlier leaks.
Undisclosed
The sources do not say.

What left

Data in the leak

Name
Full name.
Address
Home, postal or shipping address.
Location
Coarser than an address: city, ZIP code, country of residence.
Date of birth
Date of birth.
Phone
Phone number.
Email
Email address.
ID document
Image or scan of a passport, identity card or driving license.
Selfie
Verification selfie, video or other biometric capture.
National ID number
Social security, tax or national identity number, in full or in part.
Nationality
Nationality or citizenship.
Family
Details of a spouse, children or other relatives.
Bank account
Bank account, routing or card numbers.
Account ID
Customer, membership or account number at the holder.
Balance
Account balance or a snapshot of holdings at the provider.
Transactions
Statements or transaction history.
Wallet
Wallet addresses, extended public keys, device serials, or proof that a person owns a hardware wallet.
Wealth
Income, tax, ownership or other financial details held outside an account.
Order history
What the person bought and when.
Messages
Private messages or support tickets.
IP address
IP address or device identifiers.
Credentials
Passwords, password hashes, seeds or 2FA secrets.
Employment
Employer, job title or HR records.

What followed

Aftermath

Sale
Offered for sale.
Publication
Published or dumped.
Extortion
A ransom or extortion demand to the holder or to the people in the data.
Phishing
Phishing or scam attempts that used the data.
Impersonation
The holder or its staff were impersonated to the people in the data.
Physical threat
Threats of a visit or of violence that used the data.
Physical attack
A documented attack on a person that used the data.