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 859 results — High severity, no patchOpenClaw: script approval bypass allows RCE
CVE-2026-32978 OpenClaw: auth bypass triggers forged webhook tool execution
CVE-2026-32974 OpenClaw: auth bypass enables persistent CDP backdoor
CVE-2026-32972 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 MLflow: broken access control exposes experiment traces
CVE-2025-15381 OpenClaw: path traversal in media parsing leaks secrets
CVE-2026-32846 libtiff: integer overflow causes heap OOB write
CVE-2026-4775 AI component: Input Validation flaw enables exploitation
CVE-2026-4538 OpenClaw: unauthenticated VNC access in AI sandbox
CVE-2026-32064 OpenClaw: auth bypass grants unauthorized agent control access
CVE-2026-32057 OpenClaw: RCE via shell env var injection in system.run
CVE-2026-32056 OpenClaw: path traversal enables arbitrary file write
CVE-2026-32055 OpenClaw: auth bypass lets operators invoke owner control-plane
CVE-2026-32051 OpenClaw: media limit bypass enables memory exhaustion DoS
CVE-2026-32049 OpenClaw: sandbox escape via cross-agent spawn bypass
CVE-2026-32048 OpenClaw: privilege escalation via unpaired device identity
CVE-2026-32042 Feast: unauth path traversal leaks any file
CVE-2026-23536 langflow: IDOR enables unauthorized data access
CVE-2026-33053 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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