CVE-2025-52894
Published: 25 June 2025
Summary
CVE-2025-52894 is a medium-severity Improper Input Validation (CWE-20) vulnerability in Openbao Openbao. Its CVSS base score is 6.9 (Medium).
Operationally, ranked at the 29.6th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-19111
Vulnerability details
OpenBao exists to provide a software solution to manage, store, and distribute sensitive data including secrets, certificates, and keys. OpenBao before v2.3.0 allowed an attacker to perform unauthenticated, unaudited cancellation of root rekey and recovery rekey operations, effecting a denial…
more
of service. In OpenBao v2.2.0 and later, manually setting the configuration option `disable_unauthed_rekey_endpoints=true` allows an operator to deny these rarely-used endpoints on global listeners. A patch is available at commit fe75468822a22a88318c6079425357a02ae5b77b. In a future OpenBao release communicated on OpenBao's website, the maintainers will set this to `true` for all users and provide an authenticated alternative. As a workaround, if an active proxy or load balancer sits in front of OpenBao, an operator can deny requests to these endpoints from unauthorized IP ranges.
- 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.
Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.
Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.
Directly implements checks on information inputs to reject invalid data before processing.
Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.