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 1908 results — High severityLangflow: FAISS namespace reuse leaks cross-user vectors
CVE-2026-13442Pterodactyl Wings: JWT reuse enables file upload bypass
CVE-2026-54593Pterodactyl Panel: global rate limiter enables panel-wide login DoS
CVE-2026-61609Bedrock AgentCore: argument injection sandbox RCE
CVE-2026-16796etcd: Watch API auth bypass leaks entire keyspace
GHSA-xg4h-6gfc-h4m8Budibase: SSRF guard bypass via DNS rebinding
GHSA-v42f-v8xc-j435Budibase: CSRF hijacks AI chat-agent identity binding
GHSA-pvcr-8mvp-w8qrOpen WebUI: broken authz lets users overwrite channel chats
CVE-2026-59714CyberPanel: IDOR exposes cross-tenant backups
CVE-2026-65917JupyterLab: crafted settings file executes code
GHSA-pppj-hq3g-57pjJupyterLab: image viewer XSS escalates to RCE
GHSA-gx64-gj6p-pc4cn8n: 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: Git node bypass leaks arbitrary local repos
GHSA-gf29-4f56-r2jfn8n: AI node credential allowlist bypass leaks secrets
GHSA-64xh-79j6-r5v8Frequently 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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