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 1431 results — has patchGHSA-v7x6-rv5q-mhwcpicklescan: bypass allows silent RCE in ML pipelines——picklescanApr 7MEDIGHSA-fj43-3qmq-673fpicklescan: numpy bypass enables RCE in ML model pipelines——picklescanApr 7HIGHECVE-2025-46417picklescan: scanner bypass enables DNS data exfiltration—0.2%picklescanApr 7HIGHECVE-2025-30370jupyterlab-git: command injection via malicious repo name7.40.6%jupyterlab-gitApr 4MEDIECVE-2025-3001PyTorch: lstm_cell memory corruption, local code exec5.30.2%torchMar 31MEDIECVE-2025-3000PyTorch: memory corruption in torch.jit.script compiler5.30.2%torchMar 31MEDIECVE-2025-2999PyTorch: memory corruption in RNN sequence unpacking5.30.2%torchMar 31CRITECVE-2024-12029InvokeAI: RCE via unsafe torch.load deserialization9.86.0%InvokeAIMar 21HIGHECVE-2025-0628litellm: privilege escalation viewer→proxy admin via bad API key8.10.3%litellmMar 20MEDIECVE-2025-0508SageMaker SDK: MD5 collision silently replaces ML workflows5.90.3%sagemakerMar 20HIGHCVE-2024-9606LiteLLM: API key leakage in logs exposes credentials7.50.8%litellmMar 20HIGHECVE-2024-8984litellm: unauthenticated DoS via multipart boundary parsing7.50.9%litellmMar 20HIGHECVE-2024-8060OpenWebUI: path traversal RCE via audio upload API8.10.9%open-webuiMar 20CRITECVE-2024-8019pytorch-lightning: file upload RCE (Windows)9.11.1%pytorch-lightningMar 20HIGHECVE-2024-7806Open-WebUI: CSRF enables RCE via pipeline code injection8.00.5%open-webuiMar 20HIGHGHSA-6wj5-5pgr-jwq8open-webui: DoS via malformed multipart boundary7.5—open-webuiMar 20HIGHECVE-2024-7776ONNX: path traversal in download_model enables RCE8.11.5%onnxMar 20HIGHECVE-2024-6982lollms: RCE via eval() sandbox bypass in Calculate8.40.5%lollmsMar 20HIGHGHSA-w466-2wfc-8g58open-webui: DoS via starlette memory exhaustion7.5—open-webuiMar 20MEDIECVE-2024-12910llama-index: DoS via infinite recursion in web reader5.90.7%llama-indexMar 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?
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