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CVE-2026-59163

9.1 CRITICALpublic exploit available

Published 2026-09-18 · Updated 2026-09-24

AI risk analysis

Summary
The flaw in Mnemosyne allows any well-formed token to be accepted by the sync server, bypassing signature verification, which could lead to unauthorized access to the system.
Exploitability
Exploitation is relatively easy if an attacker can send a crafted token to the sync server. Precondition is network access to the sync server endpoint.
Blast radius
If exploited, the vulnerability could allow an attacker to gain full control over the system, potentially leading to data theft or system compromise.
Detection
No reliable host or network indicator is derivable from the published description.
Prioritized remediation
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 options. Upgrade to v3.10.1 or later.
auth-bypassjwtapinetwork

Analysis generated locally by qwen2.5:7b-instruct (no data left the box). AI-assisted — verify against primary sources before acting.

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.

CVSS vector

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N

Weaknesses

CWE-347

Public exploit & PoC references

All references

Source data: NVD (nvd.nist.gov), public domain. Exploit-DB.ai adds local AI analysis for defensive use only.

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