CVE-2026-25644

Published Feb 6, 2026

Last updated 2 months ago

CVSS high 7.5

Overview

Description
DataHub is an open-source metadata platform. Prior to version 1.3.1.8, the LDAP ingestion source is vulnerable to MITM attack through TLS downgrade. This issue has been patched in version 1.3.1.8.
Source
security-advisories@github.com
NVD status
Analyzed
Products
datahub

Risk scores

CVSS 3.1

Type
Secondary
Base score
7.5
Impact score
3.6
Exploitability score
3.9
Vector string
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
Severity
HIGH

Weaknesses

security-advisories@github.com
CWE-295

Social media

Hype score
Not currently trending

Configurations

Related CVEs

  1. DataHub is an open-source metadata platform. In affected versions a low privileged user could remove a user, edit group members, or edit another user's profile information. The default privileges gave too many broad permissions to low privileged users. These have been constrained in PR #9067 to prevent abuse. This issue can result in privilege escalation for lower privileged users up to admin privileges, potentially, if a group with admin privileges exists. May not impact instances that have modified default privileges. This issue has been addressed in datahub version 0.12.1. Users are advised to upgrade.•CVE-2024-22409
  2. DataHub is an open-source metadata platform. In versions of DataHub prior to 0.8.45 Session cookies are only cleared on new sign-in events and not on logout events. Any authentication checks using the `AuthUtils.hasValidSessionCookie()` method could be bypassed by using a cookie from a logged out session, as a result any logged out session cookie may be accepted as valid and therefore lead to an authentication bypass to the system. Users are advised to upgrade. There are no known workarounds for this issue. This vulnerability was discovered and reported by the GitHub Security lab and is tracked as GHSL-2022-083.•CVE-2023-25562
  3. DataHub is an open-source metadata platform. In the event a system is using Java Authentication and Authorization Service (JAAS) authentication and that system is given a configuration which contains an error, the authentication for the system will fail open and allow an attacker to login using any username and password. The reason for this is that while an error is thrown in the `authenticateJaasUser` method it is swallowed without propagating the error. As a result of this issue unauthenticated users may gain access to the system. Users are advised to upgrade. There are no known workarounds for this issue. This vulnerability was discovered and reported by the GitHub Security lab and is tracked as GHSL-2022-081.•CVE-2023-25561
  4. DataHub is an open-source metadata platform. The AuthServiceClient which is responsible for creation of new accounts, verifying credentials, resetting them or requesting access tokens, crafts multiple JSON strings using format strings with user-controlled data. This means that an attacker may be able to augment these JSON strings to be sent to the backend and that can potentially be abused by including new or colliding values. This issue may lead to an authentication bypass and the creation of system accounts, which effectively can lead to full system compromise. Users are advised to upgrade. There are no known workarounds for this vulnerability. This vulnerability was discovered and reported by the GitHub Security lab and is tracked as GHSL-2022-080.•CVE-2023-25560
  5. DataHub is an open-source metadata platform. When not using authentication for the metadata service, which is the default configuration, the Metadata service (GMS) will use the X-DataHub-Actor HTTP header to infer the user the frontend is sending the request on behalf of. When the backends retrieves the header, its name is retrieved in a case-insensitive way. This case differential can be abused by an attacker to smuggle an X-DataHub-Actor header with different casing (eg: X-DATAHUB-ACTOR). This issue may lead to an authorization bypass by allowing any user to impersonate the system user account and perform any actions on its behalf. This vulnerability was discovered and reported by the GitHub Security lab and is tracked as GHSL-2022-079.•CVE-2023-25559

References

Sources include official advisories and independent security research.