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 820 results — Active exploitation, no patchLiteLLM: SQL injection exposes LLM API credentials
CVE-2026-42208 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 SGLang: deserialization in tokenizer loader enables RCE
CVE-2026-7669 Ollama: path traversal in tensor model transfer handler
CVE-2026-7020 Flowise: Cypher injection via GraphCypherQAChain node
CVE-2026-41274 Flowise: unauth API key abuse via TTS endpoint IDOR
CVE-2026-41279 Flowise: credential exposure in public chatflow API
CVE-2026-41278 Flowise: mass assignment enables cross-workspace IDOR
CVE-2026-41277 Flowise: auth bypass enables full account takeover via reset
CVE-2026-41276 Flowise: HTTP password reset link allows MITM takeover
CVE-2026-41275 Flowise: auth bypass exposes OAuth 2.0 tokens
CVE-2026-41273 Flowise: SSRF bypass via DNS rebinding exposes internal networks
CVE-2026-41272 Flowise: SSRF via prompt template injection in API Chain
CVE-2026-41271 Flowise: SSRF bypass exposes cloud metadata services
CVE-2026-41270 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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