CVE-2026-87004
8.1 HIGHpublic exploit availablePublished 2026-09-30 · Updated 2026-09-30
AI risk analysis
- Summary
- The flaw allows an attacker to bypass security checks by decoding an OIDC id_token without verifying its signature or critical claims, potentially leading to unauthorized access.
- Exploitability
- Exploitation is moderately hard as it requires control over the OIDC flow and knowledge of the token structure, but preconditions include access to the OIDC endpoint.
- Blast radius
- If exploited, the attacker could gain full control over the Tugtainer application, leading to data breaches or unauthorized actions.
- Detection
- No reliable host or network indicator is derivable from the published description.
- Prioritized remediation
- Upgrade to version 1.31.3 or later.
Analysis generated locally by qwen2.5:7b-instruct (no data left the box). AI-assisted — verify against primary sources before acting.
NVD description
Tugtainer is a self-hosted app for automating updates of Docker containers. Prior to version 1.31.3, when the OIDC login flow completes, backend/modules/auth/providers/auth_oidc_provider.py decodes the id_token returned by the identity provider's token endpoint using jose.jwt.get_unverified_claims() instead of jwt.decode(). This skips signature verification, audience (aud) validation, issuer (iss) validation, and expiry (exp) checking entirely. The extracted claims (email/sub/preferred_username) are then used directly as the user_id for the resulting Tugtainer session. This issue has been patched in version 1.31.3.
CVSS vector
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H
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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