CyberRota Analysis
AI-GeneratedThe vulnerability affects the Mnemosyne memory layer for AI agents, allowing unauthorized access due to improper JWT signature verification in versions prior to 3.10.1. This flaw enables attackers to exploit the system by using well-formed tokens, potentially leading to unauthorized actions within the application. Organizations utilizing Mnemosyne should prioritize upgrading to version 3.10.1 or implementing network access restrictions to mitigate the risk.
Public Exploit Signal
A public exploit, PoC, GitHub repository or Metasploit reference was detected for this CVE.
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Original NVD Description
Mnemosyne is a memory layer for artificial intelligence agents. Prior to v3.10.1, the auth check in mnemosyne/core/sync_server.py parsed the JWT's header and payload using base64 decoding, then passed the token to a jwt library call with options that effectively disabled signature verification. The server accepted any well-formed token regardless of the signature, including tokens with alg: none and tokens signed with the wrong key. The fix in v3.10.1 replaces the broken decode with a from-scratch HS256 verifier using only the Python standard library. For users who cannot upgrade immediately, restrict network access to the sync server endpoint to trusted clients only. Firewall, reverse proxy with mTLS, or localhost bind with SSH tunnel are all viable. The vulnerability is not exploitable against an unreachable endpoint.