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 1295 results — High severity, no patchOpenClaw iOS: TLS pin bypass leaks Gateway credentials
CVE-2026-100551OpenClaw: authz bypass in voice-call exposes owner tools
CVE-2026-100544OpenClaw: config hashes enable offline password cracking
CVE-2026-100543OpenClaw Matrix: case-folding auth bypass via ID collision
CVE-2026-100541OpenClaw: session-memory flaw enables agent privilege escalation
CVE-2026-100535OpenClaw: exec approval reuse across directories
CVE-2026-100530OpenClaw WhatsApp: missing owner check allows account disconnect
CVE-2026-100532LiteLLM: semantic cache tenant bypass leaks data
CVE-2026-89032AMP for WP: stored XSS via comment regex transform
CVE-2026-83591DBHub: readonly mode bypass enables writes and RCE
CVE-2026-61788TREK: SSRF via llm_base_url exposes cloud metadata
CVE-2026-77294rpm: command injection via %() in src.rpm filenames
CVE-2026-95521rpm: macro expansion in manifest enables local code execution
CVE-2026-95519MLflow: pickle deserialization RCE in statsmodels flavor
CVE-2026-96804MLflow: dspy flavor pickle control bypass enables RCE
CVE-2026-96775Microweber admin panel: unrestricted file upload to RCE
CVE-2026-5695MCP Atlassian: world-readable OAuth token file exposure
CVE-2026-77256MCP Atlassian: DNS rebinding bypasses SSRF protection
CVE-2026-77242libstdc++: integer overflow in aligned new risks corruption
CVE-2026-95619TranslatePress: stored XSS via translation memory panel
CVE-2026-89412Frequently 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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