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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In CISA KEV
Latest AI Security Threats
Showing 20 of 337 results — Critical severity CVE-2025-61913 Flowise: path traversal in file tools leads to RCE 9.9 11.9% flowise Oct 8 CRIT E CVE-2025-59528 Flowise: Unauthenticated RCE via MCP config injection 10.0 90.2% flowise Sep 22 CRIT E CVE-2025-59434 Flowise Cloud: cross-tenant env var exposure leaks API keys 9.6 3.1% — Sep 22 CRIT E CVE-2025-58434 Flowise: auth bypass in reset flow allows full ATO 9.8 50.1% flowise Sep 12 CRIT E CVE-2025-9556 langchaingo: Jinja2 SSTI allows host filesystem read 9.8 0.7% — Sep 12 CRIT E CVE-2025-55526 n8n-workflows: path traversal in download_workflow endpoint 9.1 0.8% fastapi Aug 26 CRIT CVE-2025-30404 ExecuTorch: integer overflow RCE on model load 9.8 0.6% executorch Aug 8 CRIT CVE-2025-54951 ExecuTorch: heap buffer overflow RCE in model loading 9.8 0.6% executorch Aug 8 CRIT CVE-2025-30405 ExecuTorch: integer overflow in model load → RCE 9.8 0.6% executorch Aug 8 CRIT E CVE-2025-54950 ExecuTorch: OOB read in model loader enables RCE 9.8 0.6% executorch Aug 8 CRIT CVE-2025-54949 ExecuTorch: heap buffer overflow RCE via model loading 9.8 0.6% executorch Aug 8 CRIT E CVE-2025-53767 Azure OpenAI: SSRF EoP, no auth required (CVSS 10) 10.0 1.0% azure_openai Aug 7 CRIT E CVE-2025-45150 ChatGLM-Webui: arbitrary file read, no auth required 9.8 0.6% langchain-chatglm-webui Aug 1 CRIT E CVE-2025-54381 BentoML: unauthenticated SSRF via file upload URLs 9.9 11.1% bentoml Jul 29 CRIT E CVE-2025-46059 LangChain GmailToolkit: indirect prompt injection to RCE 9.8 0.7% — Jul 29 CRIT E CVE-2025-5120 smolagents: sandbox escape enables unauthenticated RCE 10.0 17.7% smolagents Jul 27 CRIT E CVE-2025-6853 Langchain-Chatchat: path traversal in KB upload 9.8 0.5% langchain-chatchat Jun 29 CRIT E CVE-2025-53002 LLaMA-Factory: RCE via unsafe checkpoint deserialization 9.8 1.0% llamafactory Jun 26 CRIT E CVE-2025-2828 LangChain RequestsToolkit: SSRF exposes cloud metadata 10.0 14.1% langchain Jun 23 CRIT E CVE-2025-1793 llama_index: SQL injection in vector store integrations 9.8 0.6% llama-index Jun 5 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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