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 338 results — Critical severity, no patchMistral Vibe: quoted paths bypass file read guard
CVE-2026-87983 Langflow: unauthenticated RCE via code injection
CVE-2026-81204 Langflow: unauthenticated OS command injection (CVSS 9.8)
CVE-2026-79724 Langflow: unauth RCE via public MCP endpoints
CVE-2026-85025 Flowise: unauthenticated RCE via prediction API endpoint
CVE-2026-52098 Gemini CLI: RCE via malicious .env GEMINI_CLI_HOME override
CVE-2026-13745 Codex Desktop: Git config filter triggers sandbox-escape RCE
CVE-2026-19593 Langflow: auth'd RCE bypasses custom-component block
CVE-2026-19295 Langflow: unauthenticated RCE via A2A endpoint
CVE-2026-19286 crewai-tools: Path traversal in FileWriterTool enables RCE
CVE-2026-37007 Cohere North AI: file upload flaw enables RCE
CVE-2025-61165 Cohere North AI: missing Origin check enables CSWSH
CVE-2025-61163 DrayTek VigorAP: pre-auth UDP command injection to root
CVE-2026-71914 Headroom LLM proxy: IDOR exposes cross-user memory
CVE-2026-77776 LMDeploy: RCE via unauth pickle deserialization
CVE-2026-76850 Langflow: sin límite de intentos permite account takeover
CVE-2026-19297 Flowise: RCE via Custom MCP node env var injection
CVE-2026-73601 Flowise: Python sandbox bypass enables unauth RCE
CVE-2026-73487 Flowise: RCE via Airtable Agent pyodide sandbox bypass
CVE-2026-73485 Flowise: sandbox escape via puppeteer.launch() to RCE
CVE-2026-73483 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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