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 1431 results — has patchonnx: OOB heap read in Gemm opset-downgrade adapter
CVE-2026-63632datasets: path traversal via file_name leaks local files
CVE-2026-66007n8n: SQL injection in Snowflake Execute Query node
GHSA-652q-gvq3-74qvn8n: SQL injection in Postgres Trigger node
GHSA-jqwr-vx3p-r266n8n: shared module cache poisoning breaks user isolation
GHSA-9cmh-xcqm-5hqrJupyterLab: crafted settings file executes code
GHSA-pppj-hq3g-57pjJupyterLab: image viewer XSS escalates to RCE
GHSA-gx64-gj6p-pc4cJupyterLab: extension blocklist bypass via name mismatch
GHSA-89vp-jrxv-24w8JupyterLab: plugin lock bypass via direct API access
GHSA-h5v5-8746-g7mmJupyterLab: missing await skips extension allowlist check
GHSA-whvh-wf3x-g77jn8n: path traversal in computer-use tool leaks files
GHSA-pf2q-pxhf-hgmwn8n: prototype pollution in expression engine causes DoS
GHSA-hx4h-vr3m-45vhn8n: prototype pollution causes instance-wide DoS
GHSA-xwx6-jjhv-84p8n8n: Edit Image node path traversal allows file write
GHSA-xmc9-4f2h-jf9cn8n: credential authz bypass via sub-workflow JSON
GHSA-cj9h-qx8g-pq2gn8n: authz bypass exposes shared workflow credentials
GHSA-6qc9-mqvw-jg7xn8n: expression sandbox bypass enables host RCE
GHSA-gv7g-jm28-cr3mn8n: type confusion in Send Email leaks host files
GHSA-2x35-3fw4-9jr4n8n: Git node RCE via malicious repo hooks
GHSA-rcv6-pvrj-4xcgn8n: MCP Client SSRF bypasses egress protection
GHSA-vhf8-cg2h-cg3pFrequently 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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