AI Threat AlertAI 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 1961 results — Active exploitationCVE-2025-11844smolagents: security flaw enables exploitation5.40.3%smolagentsOct 22MEDIECVE-2025-60511Moodle: IDOR enables unauthorized data access4.30.2%—Oct 21CRITECVE-2025-49655keras: Deserialization enables RCE9.80.8%kerasOct 17CRITECVE-2018-25117VestaCP: backdoored installer, not an AI/ML CVE—0.4%Control Panel (CP)Oct 15HIGHECVE-2025-34267Flowise: authenticated RCE via nodevm sandbox escape—6.9%FlowiseOct 14CRITECVE-2025-61913Flowise: path traversal in file tools leads to RCE9.913.9%flowiseOct 8HIGHECVE-2025-6242vLLM: SSRF in media loader exposes internal network7.10.3%vllmOct 7HIGHECVE-2025-61784LLaMA-Factory: SSRF+LFI in multimodal chat API8.10.4%llamafactoryOct 7HIGHECVE-2025-59425vLLM: timing attack enables API key bypass7.50.6%vllmOct 7HIGHECVE-2025-6985langchain-text-splitters: XXE enables arbitrary file read7.50.5%langchain-text-splittersOct 6HIGHECVE-2025-61687Flowise: unrestricted file upload enables persistent RCE8.811.8%flowiseOct 6MEDIECVE-2025-8917clearml: path traversal in safe_extract → RCE risk5.80.5%clearmlOct 5HIGHECVE-2025-7647llama-index-core: insecure /tmp dir, model theft risk7.30.1%llama-index-coreSep 27HIGHECVE-2025-55560PyTorch: DoS via sparse/dense tensor Inductor compile7.50.4%pytorchSep 25HIGHECVE-2025-55559TensorFlow: DoS via Conv2D valid padding crash7.50.2%tensorflowSep 25HIGHECVE-2025-55558PyTorch: Inductor compiler buffer overflow causes DoS7.50.5%pytorchSep 25HIGHECVE-2025-55557PyTorch: DoS via cummin+Inductor NameError in 2.7.07.50.4%pytorchSep 25MEDIECVE-2025-55556TensorFlow: non-deterministic compilation breaks Embedding6.50.2%tensorflowSep 25MEDIECVE-2025-55554PyTorch: integer overflow in nan_to_num causes DoS5.30.3%pytorchSep 25HIGHECVE-2025-55553PyTorch 2.7.0: DoS via proxy_tensor.py syntax error7.50.4%pytorchSep 25Frequently 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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