AI Security Threat Feed
Latest CVEs affecting AI/ML systems — LLM frameworks, ML libraries, AI agents, vector databases, and inference servers. Vulnerabilities are tracked from NVD, GitHub Advisory, CISA KEV, MITRE ATLAS, and enriched with CVSS, EPSS, exploitation confidence, AI-component classification, and compliance mappings to ISO 42001, EU AI Act, NIST AI RMF, and OWASP LLM Top 10. Updated continuously as new CVEs are published.
- CVSS severity
- EPSS exploit probability
- Exploitation confidence
- AI-component classification
- Compliance mappings
AI/ML CVEs Tracked
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Latest AI Security Threats
Showing 20 of 648 results — Medium severity, no patchOpenClaw: sandbox bypass exposes host filesystem reads
CVE-2026-35658 OpenClaw: auth bypass via X-Forwarded-For spoofing
CVE-2026-35656 OpenClaw: identity spoofing bypasses agent safety checks
CVE-2026-35655 OpenClaw: auth bypass on Teams feedback invoke
CVE-2026-35654 OpenClaw: auth bypass enables unauthorized action execution
CVE-2026-35652 OpenClaw: access control bypass via allowlist reconciliation
CVE-2026-35649 OpenClaw: access control bypass allows DM policy evasion
CVE-2026-35647 OpenClaw: privilege escalation via scope bypass in allowlist
CVE-2026-35621 OpenClaw: missing authz enables session policy hijack
CVE-2026-35620 OpenClaw: auth bypass exposes AI gateway model metadata
CVE-2026-35619 Log4j: non-finite floats break JSON log ingestion
CVE-2026-34481 PraisonAI: XSS via no-op HTML sanitizer in agent output
CVE-2026-40112 OpenClaw: credential exposure via gateway channel URLs
CVE-2026-35644 OpenClaw: auth bypass injects restricted agent events
CVE-2026-35642 OpenClaw: session isolation bypass exposes parent sessions
CVE-2026-35636 OpenClaw: webhook route hijack bypasses DM access controls
CVE-2026-35635 OpenClaw: auth bypass grants unauthenticated Canvas access
CVE-2026-35634 OpenClaw: unbounded memory alloc DoS via crafted HTTP errors
CVE-2026-35633 OpenClaw: auth bypass on ACP mutating commands
CVE-2026-35631 OpenClaw: webhook brute-force bypasses AI agent auth
CVE-2026-35628 Frequently asked questions
What is an AI security threat feed?
An AI security threat feed is a continuously updated stream of vulnerabilities (CVEs) affecting AI and machine-learning systems — LLM frameworks, ML libraries, AI agents, vector databases, and inference servers — filtered out of the broader CVE firehose and enriched for relevance.
Which sources are the AI CVEs tracked from?
CVEs are tracked from NVD, GitHub Advisory, CISA KEV, and MITRE ATLAS, then enriched with CVSS, EPSS, exploitation confidence, AI-component classification, and compliance mappings.
What AI systems do these vulnerabilities affect?
Coverage spans LLM frameworks, ML libraries, AI agents, vector databases, and inference servers — the components most security teams now run in production.
How often is the AI threat feed updated?
The feed updates continuously as new CVEs are published and enriched, so the most recent AI/ML vulnerabilities appear at the top.
Is the AI security feed free?
Yes — the public feed is free to browse. A Pro subscription adds breaking alerts, MITRE ATLAS mappings, compliance reports (ISO 42001, EU AI Act), and full CISO analysis.
Need deeper analysis?
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