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 818 results — Active exploitation, no patchvLLM: RCE via exposed TCPStore in distributed inference
CVE-2025-47277 transformers: ReDoS in testing_utils causes DoS
CVE-2025-2099 Ollama: DoS via malicious manifest in /api/pull
CVE-2025-1975 PyTorch NCCL: local DoS in distributed training reduce op
CVE-2025-4287 vLLM: DoS via quadratic multimodal tokenizer input
CVE-2025-46560 vLLM: RCE via pickle deserialization on ZeroMQ
CVE-2025-32444 vLLM: ZeroMQ socket exposure enables DoS in multi-node
CVE-2025-30202 transformers: ReDoS in GPT-NeoX Japanese tokenizer
CVE-2025-1194 PyTorch: RCE bypasses weights_only=True safe-load guard
CVE-2025-32434 PyTorch: DoS via ctc_loss resource mishandling
CVE-2025-3730 BentoML: RCE via insecure deserialization in runner
CVE-2025-32375 Langflow: Unauth RCE via code injection endpoint
CVE-2025-3248 BentoML: 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 torch.jit.script compiler
CVE-2025-3000 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 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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