Incorrect Behavior Order: Validate Before Canonicalize Affecting anythingllm package, versions <1.16.0-r0
Threat Intelligence
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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Test your applications- Snyk IDSNYK-MINIMOSLATEST-ANYTHINGLLM-20268300
- published30 Sept 2026
- disclosed10 Aug 2026
Introduced: 10 Aug 2026
CVE-2026-72917 (opens in a new tab)How to fix?
Upgrade Minimos:latest anythingllm to version 1.16.0-r0 or higher.
NVD Description
Note: Versions mentioned in the description apply only to the upstream anythingllm package and not the anythingllm package as distributed by Minimos.
See How to fix? for Minimos:latest relevant fixed versions and status.
AnythingLLM is an application that turns pieces of content into context that any LLM can use as references during chatting. From 1.0.0 to 1.15.0, AnythingLLM's unauthenticated account-recovery flow in server/utils/PasswordRecovery/index.js uses recoverAccount() to deduplicate the raw recoveryCodes values before trimming them, so one valid code submitted twice with different surrounding whitespace can satisfy the two-code check. Each normalized value can also match the same stored hash instead of consuming a distinct hash. An attacker who knows the target username and one recovery code can call POST /api/system/recover-account in multi-user mode, receive a password-reset token, and use POST /api/system/reset-password to take over the account, including an administrator account.
References
- https://www.cve.org/CVERecord?id=CVE-2026-72917
- https://osv.dev/vulnerability/MINI-qcmw-w26w-632p
- https://osv.dev/vulnerability/CVE-2026-72917
- https://github.com/Mintplex-Labs/anything-llm/commit/61766d06b77b903f66dc4afd8dffb3a39012db14
- https://github.com/Mintplex-Labs/anything-llm/security/advisories/GHSA-vv8w-wg6r-hq56