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 patchmcp-atlassian: SSRF via unvalidated redirects
CVE-2026-77261MCP Atlassian: path traversal in upload_attachment
CVE-2026-77260MCP Atlassian: path traversal enables code execution
CVE-2026-77271MCP Atlassian: missing authz lets clients call hidden tools
CVE-2026-77243MCP Atlassian: project/space filter bypass exposes data
CVE-2026-77251MCP Atlassian: SSRF via header URLs bypasses prior fix
CVE-2026-77267MCP Atlassian: cleartext OAuth token file readable locally
CVE-2026-77250MCP Atlassian: unauthenticated access to operator Jira/Confluence
CVE-2026-77244MCP Atlassian: DNS-rebinding SSRF exposes internal services
CVE-2026-77265MCP Atlassian: path traversal in attachment upload leaks files
CVE-2026-77270MCP Atlassian: path traversal exposes server files
CVE-2026-77258mcp-atlassian: SSRF via backslash URL parsing confusion
CVE-2026-77274LightRAG: error messages leak paths and DB credentials
CVE-2026-85709vLLM: unbounded P2P KV sessions crash EngineCore (DoS)
CVE-2026-94624NotebookLM MCP: path traversal enables arbitrary file write
CVE-2026-61647ToolHive: default network profile enables MCP lateral movement
CVE-2026-58197lmdeploy: URL parser mismatch enables SSRF bypass
GHSA-39wr-7q6h-cf68LMDeploy: eval() injection via malicious model config
CVE-2026-33625LMDeploy: pickle deserialization RCE in DistServe
CVE-2025-66455Grav CMS: callable-array bypass enables authenticated RCE
CVE-2026-72819Frequently 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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