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 1049 results — Medium severityLangflow: IDOR in file API leaks cross-tenant data
CVE-2026-10700 WPBot: unauth PII exfil via chat transcript flaw
CVE-2026-16773 WPBot: unauthenticated email abuse via wp_mail()
CVE-2026-16774 openclaw-cn: unpatched SSRF in browser agent click API
CVE-2026-17458 openclaw-cn: scheme handler bypass exposes data
CVE-2026-17457 datasets: path traversal via file_name leaks local files
CVE-2026-66007 Jan: CORS misconfig exposes local LLM API to network
CVE-2026-66005 Zephyr RTOS: ext2 mount DoS via crafted superblock
CVE-2026-7007 Datasets: symlink following enables arbitrary file write
CVE-2026-65010 Diffusers: path traversal via weight_map exposes files
CVE-2026-65920 n8n: SQL injection in Snowflake Execute Query node
GHSA-652q-gvq3-74qv n8n: SQL injection in Postgres Trigger node
GHSA-jqwr-vx3p-r266 n8n: shared module cache poisoning breaks user isolation
GHSA-9cmh-xcqm-5hqr JupyterLab: extension blocklist bypass via name mismatch
GHSA-89vp-jrxv-24w8 JupyterLab: plugin lock bypass via direct API access
GHSA-h5v5-8746-g7mm n8n: path traversal in computer-use tool leaks files
GHSA-pf2q-pxhf-hgmw n8n: prototype pollution in expression engine causes DoS
GHSA-hx4h-vr3m-45vh n8n: MCP Client SSRF bypasses egress protection
GHSA-vhf8-cg2h-cg3p InvokeAI: unauthenticated directory enumeration flaw
CVE-2026-65012 n8n: GCP service account key leaks via JWT header
CVE-2026-65599 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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