All Breaches
November 21, 2024 Verified Sensitive Record Payments / Fintech

Yonéma Data Breach

The Yonéma data breach is a security incident recorded in the November 2024 period, affecting approximately 36 thousand accounts.

36 Thousand
Reported Records
7
Data Types
Medium
Severity
Oct 10, 2026
Last updated

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Exposed Data Types

7
  • Dates of birth
  • Device information
  • Email addresses
  • IP addresses
  • Names
  • Passwords
  • Phone numbers

About This Breach

In the incident related to the Senegal-based payment platform, identity, device, IP, phone, and password fields were exposed. This statement has been prepared to clarify which user data may be at risk and which steps should be taken first.

In the context of a payment platform, the presence of date of birth, phone, device, IP, and password fields together increases the risk of financial social engineering. The text only uses verifiable data classes; unverified password, payment, identity, or technical claims are not added as data fields. Events with similar names and different years of the same brand are not confused with each other.

Leaked Data Types and Risks

The types of data listed in this incident are: birth dates, device information, email addresses, IP addresses, names, passwords, and phone numbers. Device and IP information can be used for fake verification or transaction confirmation messages in the context of a payment account. The presence of these fields together can make it easier for attackers to prepare fake account notifications, fraud, identity linkage, or targeted social engineering attempts.

It is understood that the password field contains encrypted values; if the same password has been used on other accounts, it should also be changed. Even if there is no password, the risk is not completely eliminated; address, phone number, birth date, device information, work profile, loyalty program, web activity, or purchase information may also be sufficient to target the user. If there is a password, it should be urgently checked whether the same password is being used on other services.

Verified Scope and Boundaries

The record covers approximately 36,000 unique email addresses associated with the domain yonema.com. The incident is classified as a verified record. The scope has been determined by comparing domain, company context, country, industry, account count, and data classes. The fields shown to the user are limited to the fields listed within the record.

As a payment and fintech platform in the general finance sector, the country has been corrected to Senegal. In some cases, company verification may be limited or the data set may have been distributed in third-party environments. In this case, the explanation focuses on areas that show the user's real risk, without exaggerating uncertain points.

User Groups at Risk

Yonéma users, people with a payment account, and users whose phone/birth date fields were exposed are at risk. The main risk for these users is that the leaked fields are matched with common information used on other platforms. If the same email, phone, username, address, social profile, or password is repeated across different accounts, the attack surface increases.

The payment context can be used in messages for fake transaction confirmation, account verification, money transfer, or document request. Game, retail, payment, social profile, travel, investment, airline, and health-wellness contexts generate different risks. The user should consider not only the list of fields but also which account or service those fields are associated with.

Urgent Measures to Be Taken

Affected users should check their payment accounts, phone verification messages, and email sessions. If a password or password-like field is listed, users should change it on all accounts where they use the same or similar password, use a unique password, and enable multi-factor authentication where possible. The email account should also be secured.

If there are fields such as address, phone number, date of birth, device, work profile, purchase or loyalty program, users should check account recovery options, session history, forwarding rules, and suspicious messages. Verification and document requests received in the context of finance, payment, or airlines should be confirmed through a second channel.

Long-Term Security Strategies

Multi-factor authentication, transaction notifications, and the use of unique passwords should be continuously implemented in payment accounts. In the long term, a password manager, unique passwords, multi-factor authentication, closure of old accounts, and deletion of unnecessary profile fields are the main defenses. Since permanent personal data cannot be recovered, user behavior and account settings should be strengthened.

Data minimization for institutions, the retention period of old customer records, forum and community account permissions, loyalty program fields, and incident reporting processes should be regularly audited. On the user side, not using the same identity information everywhere permanently reduces risk.

Record Control and User Action

If the user matches this record, they should review suspicious transaction reports in finance and payment accounts. If a match is seen, the user should read which data fields are listed and determine the course of action accordingly. If there is a password, changing the password is a priority; if there is an address or phone, a fraud alert is a priority; if there are finance or payment details, account monitoring is a priority; if there is a social profile, privacy control is a priority.

Final assessment: This record is a sensitive financial data incident due to the payment context, device, IP, phone, date of birth, and password fields. The user should compare this record with their own account history; they should separately check the services where they use the same email, phone, username, address, or password. Suspicious calls, emails, messages, or account recovery notifications should be considered higher risk after the incident.

Verification and editorial method

LeakData compares the incident name, date, affected-record count, and exposed data types with accessible sources. Unverified fields are not presented as facts, and records are updated when new evidence becomes available.

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