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 1321 results — High severityOpenClaw: 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 OpenClaw: auth bypass enables high-privilege agent control
CVE-2026-32034 OpenClaw: SHELL env var injection enables local RCE
CVE-2026-32032 OpenClaw: path traversal exposes host files via SCP
CVE-2026-32030 OpenClaw: WebSocket auth bypass enables agent hijack
CVE-2026-32025 OpenClaw: approval gating bypass enables shell execution
CVE-2026-32023 OpenClaw: SSRF bypass via incomplete IPv4 range validation
CVE-2026-32019 OpenClaw: allowlist bypass enables arbitrary file write
CVE-2026-32017 OpenClaw: path bypass allows unauthorized binary execution
CVE-2026-32016 OpenClaw: PATH hijack bypasses exec allowlist controls
CVE-2026-32015 OpenClaw: metadata spoofing bypasses agent command policies
CVE-2026-32014 OpenClaw: symlink traversal enables host file read/write
CVE-2026-32013 OpenClaw: pre-auth webhook DoS exhausts parser resources
CVE-2026-32011 libarchive: RAR heap OOB read leaks memory in vLLM stacks
CVE-2026-4424 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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