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 1010 results — Active exploitation, no patchBentoML: unauthenticated RCE via insecure deserialization
CVE-2025-27520 PyTorch: memory corruption in CUDA caching allocator
CVE-2025-3136 PyTorch: memory corruption in JIT flatbuffer loader
CVE-2025-3121 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 LiteLLM: Langfuse API key leak via error handling
CVE-2025-0330 Open-WebUI: unauthenticated PDF endpoint enables DoS
CVE-2024-8053 open-webui: unauthenticated DoS via markdown parser
CVE-2024-7983 open-webui: Stored XSS enables admin session hijack
CVE-2024-7990 pytorch-lightning: unauthenticated DoS crashes LightningApp
CVE-2024-8020 Open WebUI: missing authz leaks admin credentials
CVE-2024-7046 open-webui: XSS enables admin session hijack via chat
CVE-2024-7053 open-webui: missing authz exposes admin prompts
CVE-2024-7045 Open WebUI: CSRF wipes RAG DB and AI memories via GET
CVE-2024-7035 open-webui: path traversal allows arbitrary file write/RCE
CVE-2024-7034 open-webui: path traversal allows file write and RCE
CVE-2024-7033 open-webui: Privilege bypass enables admin account deletion
CVE-2024-7039 LiteLLM: RCE via post_call_rules callback injection
CVE-2024-6825 open-webui: unauthenticated DoS disables Admin panel
CVE-2024-7036 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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