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 3018 resultsh2oGPT: unauth path traversal in files API leads to RCE
CVE-2026-65700 CyberPanel: IDOR exposes cross-tenant backups
CVE-2026-65917 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: crafted settings file executes code
GHSA-pppj-hq3g-57pj JupyterLab: image viewer XSS escalates to RCE
GHSA-gx64-gj6p-pc4c JupyterLab: extension blocklist bypass via name mismatch
GHSA-89vp-jrxv-24w8 JupyterLab: plugin lock bypass via direct API access
GHSA-h5v5-8746-g7mm JupyterLab: missing await skips extension allowlist check
GHSA-whvh-wf3x-g77j 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: prototype pollution causes instance-wide DoS
GHSA-xwx6-jjhv-84p8 n8n: Edit Image node path traversal allows file write
GHSA-xmc9-4f2h-jf9c n8n: credential authz bypass via sub-workflow JSON
GHSA-cj9h-qx8g-pq2g n8n: authz bypass exposes shared workflow credentials
GHSA-6qc9-mqvw-jg7x n8n: expression sandbox bypass enables host RCE
GHSA-gv7g-jm28-cr3m n8n: type confusion in Send Email leaks host files
GHSA-2x35-3fw4-9jr4 n8n: Git node RCE via malicious repo hooks
GHSA-rcv6-pvrj-4xcg n8n: MCP Client SSRF bypasses egress protection
GHSA-vhf8-cg2h-cg3p 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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