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
Critical
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Latest AI Security Threats
Showing 20 of 1908 results — High severityGHSA-r39h-4c2p-3jxpOpenClaw: RCE via malicious repo setup-api.js7.8—openclawMay 5HIGHCVE-2026-40110Jupyter Server: CORS bypass via regex anchor omission7.10.3%jupyter-serverMay 5HIGHECVE-2026-35397Jupyter Server: path traversal leaks sibling directories7.10.6%jupyter-serverMay 5HIGHGHSA-wppj-c6mr-83jjopenclaw: TOCTOU sandbox escape via symlink swap——openclawMay 4HIGHGHSA-r6xh-pqhr-v4xhopenclaw: MCP owner-context spoofing, privilege escalation——openclawMay 4HIGHCVE-2026-33846GnuTLS: DTLS fragment heap overflow, DoS on AI inference7.51.3%rhaiis/vllm-rocm-rhel9May 4HIGHCVE-2026-6543Langflow: RCE exposes API keys and DB credentials8.80.5%langflowApr 30HIGHCVE-2026-6542Langflow: IDOR exposes cross-tenant flow data and deletion8.10.2%langflowApr 30HIGHCVE-2026-4503Langflow Desktop: IDOR leaks user images unauthenticated7.50.3%langflowApr 30HIGHCVE-2026-42449n8n-mcp: SSRF bypass via IPv6 leaks API keys8.50.2%n8n-mcpApr 30HIGHCVE-2026-33845GnuTLS: DTLS integer underflow enables OOB read/DoS7.52.1%rhaiis/vllm-rocm-rhel9Apr 30HIGHCVE-2026-40171Jupyter Notebook: stored XSS enables full account takeover—0.5%@jupyterlab/help-extensionApr 30HIGHECVE-2026-41680marked: infinite recursion DoS crashes Node.js via OOM7.50.3%markedApr 29HIGHGHSA-v4p8-mg3p-g94glitellm: RCE via MCP test endpoints privilege bypass——litellmApr 25HIGHCVE-2026-40068Claude Code: git worktree trust bypass executes hooks—0.3%@anthropic-ai/claude-codeApr 24HIGHCVE-2026-41486Ray: Parquet RCE via Arrow extension deserialization—0.5%rayApr 24HIGHGHSA-xqmj-j6mv-4862LiteLLM: RCE via unsandboxed prompt template rendering——litellmApr 24HIGHECVE-2026-41279Flowise: unauth API key abuse via TTS endpoint IDOR7.50.3%flowiseApr 23HIGHECVE-2026-41278Flowise: credential exposure in public chatflow API7.50.4%flowiseApr 23HIGHECVE-2026-41277Flowise: mass assignment enables cross-workspace IDOR8.83.1%flowiseApr 23Frequently 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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