CVE-2023-25559
Published: 11 February 2023
Summary
CVE-2023-25559 is a high-severity Improper Authentication (CWE-287) vulnerability in Datahub Datahub. Its CVSS base score is 8.2 (High).
Operationally, ranked at the 42.3th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-29511
Vulnerability details
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…
more
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.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Session content review can reveal authentication bypasses or failures in session establishment.
Assessments check authentication mechanisms for correct implementation and effectiveness, reducing successful authentication bypass attempts.
Identity providers centralize and enforce authentication mechanisms, reducing improper authentication.
Enforces correct authorization checks during the identifier assignment process.
Personnel screening, identity verification, and access-agreement requirements support reliable authentication and reduce authentication bypass opportunities.
Decoy authentication surfaces detect bypass attempts and deflect real credential attacks through observable malicious interactions.
Periodic review and update of procedures reduces incorrect authorization implementations over time.
Supervision identifies cases where authorization logic incorrectly permits unauthorized actions.