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 1581 results — no patchCosyVoice: insecure deserialization RCE via .pt files
CVE-2026-31249 mistune: math plugin XSS bypasses escape=True control
CVE-2026-44708 cline: WebSocket auth bypass enables terminal RCE
CVE-2026-44211 n8n-MCP: credential logging exposes OAuth tokens in HTTP mode
CVE-2026-42282 LiteLLM: RCE via MCP test endpoint command injection
CVE-2026-42271 LiteLLM: SQL injection exposes LLM API credentials
CVE-2026-42208 LiteLLM: SSTI in prompt template endpoint enables RCE
CVE-2026-42203 Flowise: info disclosure via login API response handler
CVE-2026-8026 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: predictable file IDs leak uploaded files
CVE-2026-7847 Langchain-Chatchat: TOCTOU race allows silent file overwrite
CVE-2026-7846 Langchain-Chatchat: weak image hash allows integrity bypass
CVE-2026-7845 Langchain-Chatchat: auth bypass on file service endpoints
CVE-2026-7844 Ollama: heap OOB read leaks API keys and chat data
CVE-2026-7482 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: RCE exposes API keys and DB credentials
CVE-2026-6543 Langflow: IDOR exposes cross-tenant flow data and deletion
CVE-2026-6542 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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