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CVE-2025-54999 Low

OpenBao has a Timing Side-Channel in the Userpass Auth Method in github.com/openbao/openbao

OpenBao has a Timing Side-Channel in the Userpass Auth Method in github.com/openbao/openbao. NOTE: The source advisory for this report contains additional versions that could not be automatically mapped to standard Go module versions. (If this is causing false-positive reports from vulnerability scanners, please suggest an edit to the report.) The additional affected modules and versions are: github.com/openbao/openbao before v2.3.2.

Exploit probability 0.2%
Published August 11, 2025
Required by Not available
Last source change July 27, 2026

02 / AFFECTED SOFTWARE

Affected packages

Unknown Unknown

100 explicit affected versions

Bitnami openbao
Go github.com/openbao/openbao
Go github.com/openbao/openbao

03 / CONNECTIONS

Connected vulnerabilities

04 / EVIDENCE

Source records

Open Source Vulnerabilities CVE-2025-54999

OpenBao exists to provide a software solution to manage, store, and distribute sensitive data including secrets, certificates, and keys. In versions 0.1.0 through 2.3.1, when using OpenBao's userpass auth method, user enumeration was possible due to timing difference between non-existent users and users with stored credentials. This is independent of whether the supplied credentials were valid for the given user. This issue was fixed in version 2.3.2. To work around this issue, users may use another auth method or apply rate limiting quotas to limit the number of requests in a period of time: https://openbao.org/api-docs/system/rate-limit-quotas/.

View original source
Open Source Vulnerabilities GHSA-hh28-h22f-8357

### Impact When using OpenBao's `userpass` auth method, user enumeration was possible due to timing difference between non-existent users and users with stored credentials. This is independent of whether the supplied credentials were valid for the given user. ### Patches OpenBao v2.3.2 will patch this issue. ### Workarounds Users may use another auth method or apply rate limiting quotas to limit the number of requests in a period of time: https://openbao.org/api-docs/system/rate-limit-quotas/ ### References This issue was disclosed to HashiCorp and is the OpenBao equivalent of the following tickets: - https://discuss.hashicorp.com/t/hcsec-2025-15-timing-side-channel-in-vault-s-userpass-auth-method/76034 - https://nvd.nist.gov/vuln/detail/CVE-2025-6011 Barring further information, this is also assumed to cover and remediate the following additional vulnerability: - https://discuss.hashicorp.com/t/hcsec-2025-21-vault-user-enumeration-in-userpass-auth-method/76095 - https://nvd.nist.gov/vuln/detail/CVE-2025-6010 If this is not the case as further details emerge, a new CVE will be assigned for remediating that. Otherwise, no further CVE will be sought.

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Open Source Vulnerabilities GO-2025-3854

OpenBao has a Timing Side-Channel in the Userpass Auth Method in github.com/openbao/openbao. NOTE: The source advisory for this report contains additional versions that could not be automatically mapped to standard Go module versions. (If this is causing false-positive reports from vulnerability scanners, please suggest an edit to the report.) The additional affected modules and versions are: github.com/openbao/openbao before v2.3.2.

View original source
Open Source Vulnerabilities BIT-openbao-2025-54999

OpenBao exists to provide a software solution to manage, store, and distribute sensitive data including secrets, certificates, and keys. In versions 0.1.0 through 2.3.1, when using OpenBao's userpass auth method, user enumeration was possible due to timing difference between non-existent users and users with stored credentials. This is independent of whether the supplied credentials were valid for the given user. This issue was fixed in version 2.3.2. To work around this issue, users may use another auth method or apply rate limiting quotas to limit the number of requests in a period of time: https://openbao.org/api-docs/system/rate-limit-quotas/.

View original source

05 / REFERENCES

Further evidence