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 2876 results — no patchCVE-2024-12534open-webui: unauthenticated DoS via login payload flood7.50.8%open-webuiMar 20MEDIGHSA-564p-rx2q-4c8vBentoML: open redirect exposes ML teams to phishing6.1—bentomlMar 20HIGHGHSA-hh3j-9m59-p8vcBentoML: DoS via multipart boundary in Gradio login7.5—bentomlMar 20HIGHECVE-2024-12537Open-WebUI: unauthenticated DoS via code formatter7.50.9%open-webuiMar 20HIGHECVE-2024-10572H2O-3: unauthenticated AST parser enables DoS + file write7.50.7%h2oMar 20MEDIECVE-2025-1474MLflow: passwordless accounts enable persistent backdoor5.50.4%mlflowMar 20HIGHECVE-2025-1473MLflow: CSRF in signup allows rogue account creation7.10.2%mlflowMar 20HIGHECVE-2025-0453MLflow: GraphQL DoS disables ML tracking server7.511.3%mlflowMar 20HIGHECVE-2025-0317Ollama: DoS via malicious GGUF model file upload7.514.5%ollamaMar 20HIGHECVE-2025-0315Ollama: GGUF model upload causes memory exhaustion DoS7.50.7%ollamaMar 20HIGHECVE-2025-0312Ollama: null pointer DoS via malicious GGUF model upload7.50.6%ollamaMar 20UNKNECVE-2025-0187Gradio: DoS via oversized upload filename—0.7%gradioMar 20CRITECVE-2024-9070BentoML: unauthenticated RCE via runner deserialization9.80.9%bentomlMar 20HIGHECVE-2024-9056BentoML: DoS via multipart boundary exhausts server7.50.7%bentomlMar 20CRITECVE-2024-9053vllm: RCE via unsafe pickle deserialization in RPC server9.81.4%vllmMar 20HIGHECVE-2024-8966Gradio: DoS via malformed multipart boundary7.50.8%videoMar 20HIGHECVE-2024-8859MLflow: path traversal allows arbitrary file read via DBFS7.52.8%mlflowMar 20HIGHECVE-2024-8063ollama: divide-by-zero DoS via crafted GGUF model import7.50.6%ollamaMar 20MEDIECVE-2024-8021Gradio: open redirect exposes AI demo users to phishing6.10.8%gradioMar 20HIGHECVE-2024-7959Open-WebUI: SSRF via unchecked OpenAI URL leaks internal secrets7.724.5%open-webuiMar 20Frequently 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?
Get ATLAS technique mappings, compliance reports (ISO 42001, EU AI Act), breaking alerts, and full CISO analysis with a Pro subscription.
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