AI / ML CVE-2026-21484
MEDIUMSeverity by source
AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
Primary rating from GitHub Advisory · only source for this CVE.
CVSS VectorGitHub Advisory
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
Lifecycle Timeline
4DescriptionGitHub Advisory
AnythingLLM is an application that turns pieces of content into context that any LLM can use as references during chatting. Prior to commit e287fab56089cf8fcea9ba579a3ecdeca0daa313, the password recovery endpoint returns different error messages depending on whether a username exists, so enabling username enumeration. Commit e287fab56089cf8fcea9ba579a3ecdeca0daa313 fixes this issue.
AnalysisAI
AnythingLLM's password recovery endpoint leaks information about valid usernames through differential error messages, enabling account enumeration attacks. Public exploit code exists for this low-complexity network vulnerability that requires no authentication. …
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Vulnerability AssessmentAI
| Risk Assessment | CVSS 5.3 (MEDIUM). … Full risk analysis with EPSS, KEV, and SSVC signal comparison available after sign-in. |
| Exploit Scenario | An attacker could exploit this vulnerability to compromise the affected system. |
| Remediation | A vendor patch is available — apply it immediately. … Detailed patch versions, workarounds, and compensating controls in full report. |
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Within 30 days: Identify affected systems and apply vendor patches as part of regular patch cycle. …
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