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 534 results — Medium severity, no patchLinux mlx5: RDMA hang DoS on AI training clusters
CVE-2026-45973 IBM Db2 APM: DoS via query special element injection
CVE-2026-3676 vllm: unauthenticated DoS in OpenAI-compatible serving path
CVE-2026-9540 cline-mcp-memory-bank: path traversal in memory init
CVE-2026-9468 Notebook Pro: DoS via oversized notebook name input
CVE-2018-25378 @apify/actors-mcp-server: URL bypass → LLM prompt injection
CVE-2026-46341 mistune: math plugin XSS bypasses escape=True control
CVE-2026-44708 n8n-MCP: credential logging exposes OAuth tokens in HTTP mode
CVE-2026-42282 wireshark-mcp: path traversal enables arbitrary file write via MCP
CVE-2026-43901 LobeChat: XSS-to-RCE via exposed Electron IPC
CVE-2026-42045 Langchain-Chatchat: auth bypass on file service endpoints
CVE-2026-7844 Langflow: eval() code injection → remote code execution
CVE-2026-7700 Langflow: command injection in code parser enables RCE
CVE-2026-7687 SGLang: deserialization in tokenizer loader enables RCE
CVE-2026-7669 Langflow: path traversal allows arbitrary file read
CVE-2026-3345 Langflow: path traversal enables arbitrary file write
CVE-2026-4502 Langflow Desktop: stored XSS enables credential theft
CVE-2026-3346 IBM Langflow: SSRF enables internal network enumeration
CVE-2026-3340 LangChain: SSRF redirect bypass exposes internal endpoints
CVE-2026-41481 BetterDocs: Auth bypass drains OpenAI API quota
CVE-2026-6393 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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