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 2356 results — no patchOpenClaw: auth bypass enables Discord reaction context injection
CVE-2026-32923 OpenClaw: privilege escalation to RCE via token scope bypass
CVE-2026-32922 OpenClaw: auth bypass enables unauthorized session reset
CVE-2026-32919 OpenClaw: session sandbox escape exposes cross-agent state
CVE-2026-32918 OpenClaw: sandbox bypass enables sibling agent hijack
CVE-2026-32915 OpenClaw: access control bypass in config/debug handlers
CVE-2026-32914 OpenUI: hard-coded LiteLLM master key credential leak
CVE-2026-4993 DOMPurify: mXSS bypass achieves XSS via parse-context switch
GHSA-h8r8-wccr-v5f2 smolagents: code injection via incomplete sandbox fix
CVE-2026-4963 MLflow: broken access control exposes experiment traces
CVE-2025-15381 OpenClaw: path traversal in media parsing leaks secrets
CVE-2026-32846 litellm: supply chain attack harvests AI API credentials
GHSA-5mg7-485q-xm76 NVIDIA: Deserialization enables RCE
CVE-2025-33244 Wallos: SSRF allows internal network access
CVE-2026-33401 libtiff: integer overflow causes heap OOB write
CVE-2026-4775 langflow: security flaw enables exploitation
CVE-2026-33475 OpenClaw: auth header leak via cross-origin redirect
CVE-2026-32913 OpenClaw: sandbox escape via /acp spawn command
CVE-2026-27646 OpenClaw: shell allowlist bypass via dispatch wrapper depth
CVE-2026-27183 AI component: IDOR enables unauthorized data access
CVE-2026-30886 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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