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
Critical
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Latest AI Security Threats
Showing 20 of 1346 results — Active exploitation, no patchBentoML: unauthenticated RCE via insecure deserialization
CVE-2025-27520PyTorch: memory corruption in CUDA caching allocator
CVE-2025-3136PyTorch: memory corruption in JIT flatbuffer loader
CVE-2025-3121PyTorch: memory corruption in RNN pad_packed_sequence
CVE-2025-2998PyTorch: DoS via mkldnn_max_pool2d resource leak
CVE-2025-2953openairinterface5g: segfault enables DoS via crafted UE message
CVE-2025-26265LiteLLM: Langfuse API key leak via error handling
CVE-2025-0330open-webui: unauthenticated DoS via markdown parser
CVE-2024-7983pytorch-lightning: unauthenticated DoS crashes LightningApp
CVE-2024-8020open-webui: Stored XSS enables admin session hijack
CVE-2024-7990Open-WebUI: unauthenticated PDF endpoint enables DoS
CVE-2024-8053Open WebUI: missing authz leaks admin credentials
CVE-2024-7046open-webui: XSS enables admin session hijack via chat
CVE-2024-7053open-webui: missing authz exposes admin prompts
CVE-2024-7045Open WebUI: CSRF wipes RAG DB and AI memories via GET
CVE-2024-7035open-webui: path traversal allows arbitrary file write/RCE
CVE-2024-7034LiteLLM: RCE via post_call_rules callback injection
CVE-2024-6825open-webui: path traversal allows file write and RCE
CVE-2024-7033Open WebUI: auth bypass exposes all user files
CVE-2024-7043open-webui: Privilege bypass enables admin account deletion
CVE-2024-7039Frequently 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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