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 169 results — Critical severity, has patchn8n-mcp: broken tenant isolation leaks workflow credentials
CVE-2026-54052DIRAC: SQLi chained into eval() gives RCE
CVE-2026-61667PraisonAI: AICoder root RCE via unsanitized tool calls
CVE-2026-61445PraisonAI: SQL/CQL injection via unvalidated vector dim
CVE-2026-60090SiYuan Note: chrome-extension origin auth bypass
CVE-2026-54069mcp-server-kubernetes: arg injection exfils bearer token
CVE-2026-61459Langroid: prompt injection to RCE via broken eval() sandbox
CVE-2026-54769Keras: safe_mode=None bypass enables Lambda RCE
CVE-2026-12481OpenClaw: QQBot admin auth bypass skips access checks
GHSA-w4v6-g3wm-w36cmcp-memory-service: auth bypass on document API
CVE-2026-50027Langflow: authenticated RCE enables credential theft
CVE-2026-7873SiYuan: XSS→RCE via workspace sync in Electron app
CVE-2026-54158Budibase: zip symlink bypass exposes all server secrets
CVE-2026-54352Langflow: auth bypass + unauthenticated RCE (CVSS 10)
CVE-2026-10561Langflow: TAR symlink traversal enables full RCE
CVE-2026-55447Langflow: IDOR allows cross-user flow execution
CVE-2026-55255jupyterlab-git: stored XSS escalates to full RCE
CVE-2026-54527praisonai-platform: hardcoded JWT secret enables full auth bypass
GHSA-cwj8-7gp2-ggcwpraisonai-platform: hardcoded JWT secret enables full auth bypass
GHSA-f38v-77qj-h4jqPraisonAI: multiedit path traversal, arbitrary file R/W
GHSA-29w3-p9w9-wc47Frequently 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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