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 4307 resultsOpenClaw: authorization bypass in /voice set alters config
CVE-2026-100590OpenClaw: sandbox bypass exposes host browser sessions
CVE-2026-100589OpenClaw: admin scope bypass on browser control
CVE-2026-100588OpenClaw: missing owner check allows plugin install and MCP execution
CVE-2026-100587OpenClaw: owner authz bypass enables host-level agent exec
CVE-2026-100586OpenClaw: owner-only approval bypass in MCP bridge
CVE-2026-100585OpenClaw: PATH shadowing allowlist bypass on Windows
CVE-2026-100584OpenClaw: authorization bypass leaks Discord guild metadata
CVE-2026-100583OpenClaw: channel read allowlist bypass leaks chat data
CVE-2026-100582OpenClaw iOS: cleartext Gateway credentials in UserDefaults
CVE-2026-100581OpenClaw: case-sensitivity bypass enables persistent RCE
CVE-2026-100580OpenClaw: spoofed requester identity bypasses channel authz
CVE-2026-100579OpenClaw: owner-only tools exposed via chat.send
CVE-2026-100578OpenClaw: SSRF via unvalidated video asset URLs
CVE-2026-100577OpenClaw: SSRF via browser wait predicates bypass
CVE-2026-100576OpenClaw: Slack sender allowlist bypass in group DMs
CVE-2026-100575OpenClaw: SSRF via 0.0.0.0 bypass in trusted-host DNS
CVE-2026-100574OpenClaw: sandbox deny-policy bypass via MCP loopback
CVE-2026-100573OpenClaw: pre-auth rate limit enables webhook DoS
CVE-2026-100572OpenClaw: SMS webhook rate-limit DoS drops Twilio callbacks
CVE-2026-100571Frequently 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?
Get ATLAS technique mappings, compliance reports (ISO 42001, EU AI Act), breaking alerts, and full CISO analysis with a Pro subscription.
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