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 4307 resultsfilelock: soft-lock stale check forgeable, double entry
CVE-2026-112939filelock: symlink TOCTOU leaks file existence locally
CVE-2026-112912filelock: renamed file truncated and chmodded by lock
CVE-2026-112909filelock: symlink race in strict lock strands claims
CVE-2026-112938filelock: FIFO/hard-link abuse hangs locks, corrupts files
CVE-2026-112934filelock: stale-lock race lets two processes hold one lock
CVE-2026-112935MONAI: missing hash check allows tampered model downloads
CVE-2026-118684MONAI: RCE via malicious bundle logging.conf
CVE-2026-118683n8n: SSRF in Slack Trigger leaks Slack workspace tokens
CVE-2026-118679n8n: prototype pollution via workflow keys causes DoS
CVE-2026-118678n8n Local Gateway: silent deep-link re-pairing
CVE-2026-118677n8n: credential permission bypass leaks secrets
CVE-2026-118676n8n: credential guard bypass in Execute Sub-workflow
CVE-2026-118675n8n: prototype pollution bypasses Data Table isolation
CVE-2026-118649n8n: stored XSS via webhook responses lacking CSP
CVE-2026-118648n8n: SeaTable Trigger leaks API token in executions
CVE-2026-118647n8n: ReDoS in File(s) Selector glob blocks event loop
CVE-2026-118646n8n: Quick Base node filter injection exposes records
CVE-2026-118645n8n: error workflow inherits user identity, steals creds
CVE-2026-118644n8n: credential secrets leaked via node error data
CVE-2026-118643Frequently 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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