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 1074 results — Active exploitationjupyterlab-git: command injection via malicious repo name
CVE-2025-30370 PyTorch: memory corruption in CUDA caching allocator
CVE-2025-3136 PyTorch: memory corruption in JIT flatbuffer loader
CVE-2025-3121 PyTorch: lstm_cell memory corruption, local code exec
CVE-2025-3001 PyTorch: memory corruption in torch.jit.script compiler
CVE-2025-3000 PyTorch: memory corruption in RNN sequence unpacking
CVE-2025-2999 PyTorch: memory corruption in RNN pad_packed_sequence
CVE-2025-2998 PyTorch: DoS via mkldnn_max_pool2d resource leak
CVE-2025-2953 openairinterface5g: segfault enables DoS via crafted UE message
CVE-2025-26265 InvokeAI: RCE via unsafe torch.load deserialization
CVE-2024-12029 litellm: privilege escalation viewer→proxy admin via bad API key
CVE-2025-0628 SageMaker SDK: MD5 collision silently replaces ML workflows
CVE-2025-0508 LiteLLM: Langfuse API key leak via error handling
CVE-2025-0330 litellm: unauthenticated DoS via multipart boundary parsing
CVE-2024-8984 open-webui: Stored XSS enables admin session hijack
CVE-2024-7990 Open-WebUI: unauthenticated PDF endpoint enables DoS
CVE-2024-8053 OpenWebUI: path traversal RCE via audio upload API
CVE-2024-8060 open-webui: unauthenticated DoS via markdown parser
CVE-2024-7983 pytorch-lightning: unauthenticated DoS crashes LightningApp
CVE-2024-8020 pytorch-lightning: file upload RCE (Windows)
CVE-2024-8019 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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