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 1076 results — has patchFiftyOne: wildcard CORS enables local file exfiltration
CVE-2026-53656 n8n: permission bypass exposes external secrets
CVE-2026-59259 n8n: authz bypass leaks external secrets
CVE-2026-59254 n8n-mcp: cross-tenant leak of workflow backups
CVE-2026-55608 yutu: arbitrary file write via MCP caption-download tool
CVE-2026-50158 n8n-mcp: broken tenant isolation leaks workflow credentials
CVE-2026-54052 Keras: symlink bypass enables tar path traversal
CVE-2026-12482 DIRAC: SQLi chained into eval() gives RCE
CVE-2026-61667 Decidim: JWT replay bypasses multi-tenant isolation
CVE-2026-45414 mcp-atlassian: path traversal leaks secrets via injection
GHSA-g5r6-gv6m-f5jv mcp-atlassian: path traversal leaks server files+creds
GHSA-wm45-qh3g-v83f SiYuan: XSS in Bazaar README steals admin API token
CVE-2026-54070 SiYuan Note: chrome-extension origin auth bypass
CVE-2026-54069 SiYuan: /assets path traversal exposes API secrets
CVE-2026-54066 mcp-atlassian: DNS-rebind bypass revives header SSRF
GHSA-489g-7rxv-6c8q n8n: disk exhaustion via data-table upload quota gap
CVE-2026-58661 n8n: editor-level access leaks credential headers
CVE-2026-59209 Open WebUI: encoded path traversal in terminal proxy
CVE-2026-59221 Open WebUI: arena bypass reaches restricted models
CVE-2026-59225 Open WebUI: terminal proxy allows user ID spoofing
CVE-2026-59224 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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