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 3035 resultsOpenClaw: auth bypass injects restricted agent events
CVE-2026-35642 OpenClaw: scope bypass enables admin RCE via device pairing
CVE-2026-35639 OpenClaw: priv escalation via trusted-proxy scope bypass
CVE-2026-35638 OpenClaw: auth bypass via premature cite expansion
CVE-2026-35637 OpenClaw: session isolation bypass exposes parent sessions
CVE-2026-35636 OpenClaw: webhook route hijack bypasses DM access controls
CVE-2026-35635 OpenClaw: auth bypass grants unauthenticated Canvas access
CVE-2026-35634 OpenClaw: unbounded memory alloc DoS via crafted HTTP errors
CVE-2026-35633 OpenClaw: symlink traversal enables RCE via agent config
CVE-2026-35632 OpenClaw: auth bypass on ACP mutating commands
CVE-2026-35631 OpenClaw: webhook brute-force bypasses AI agent auth
CVE-2026-35628 OpenClaw: pre-auth DoS via Nostr DM resource exhaustion
CVE-2026-35627 OpenClaw: unauthenticated DoS via webhook body buffering
CVE-2026-35626 OpenClaw: privilege escalation to RCE via silent reconnect
CVE-2026-35625 OpenClaw: auth bypass exposes protected Talk rooms
CVE-2026-35624 OpenClaw: Brute-force auth bypass via webhook rate limit miss
CVE-2026-35623 OpenClaw: auth bypass in Google Chat webhook
CVE-2026-35622 OpenClaw: Plivo V2 replay bypass allows unauth actions
CVE-2026-35618 OpenClaw: auth bypass via group policy name collision
CVE-2026-35617 OpenClaw: improper authz allows admin session kill
CVE-2026-34512 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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