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
Critical
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Latest AI Security Threats
Showing 20 of 1908 results — High severityCVE-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 6HIGHCVE-2025-0616Netsis Panel: unauthenticated SQLi enables data exfiltration8.20.3%B2B - Netsis PanelOct 3HIGHECVE-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 25HIGHECVE-2025-55553PyTorch 2.7.0: DoS via proxy_tensor.py syntax error7.50.4%pytorchSep 25HIGHECVE-2025-55552PyTorch: integer overflow in rot90+randn_like causes DoS7.50.4%pytorchSep 25HIGHECVE-2025-55551PyTorch: DoS in linalg.lu via malformed slice op7.50.4%pytorchSep 25HIGHECVE-2025-9900libtiff: arbitrary write via crafted TIFF image8.81.0%rhaiis/vllm-cuda-rhel9Sep 23HIGHECVE-2025-6921Transformers: ReDoS in optimizer halts training pipelines7.50.5%transformersSep 23HIGHECVE-2025-59527Flowise: unauthenticated SSRF exposes internal network7.55.5%flowiseSep 22HIGHECVE-2025-9906Keras: safe_mode bypass enables RCE via model load7.30.2%kerasSep 19HIGHECVE-2025-9905Keras: safe_mode bypass enables RCE via .h5 model files7.30.2%kerasSep 19HIGHECVE-2025-10155picklescan: file extension bypass allows model RCE7.80.8%picklescanSep 17HIGHECVE-2025-6638HuggingFace Transformers: ReDoS in MarianTokenizer7.50.6%transformersSep 12Frequently 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.
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