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 1527 results — Medium severityPyTorch: DoS via ctc_loss resource mishandling
CVE-2025-3730vLLM: DoS via unbounded XGrammar schema cache
GHSA-hf3c-wxg2-49q9xgrammar: unbounded grammar cache causes LLM server DoS
CVE-2025-32381picklescan: bypass allows silent RCE in ML pipelines
GHSA-v7x6-rv5q-mhwcpicklescan: numpy bypass enables RCE in ML model pipelines
GHSA-fj43-3qmq-673fPyTorch: memory corruption in JIT flatbuffer loader
CVE-2025-3121OpenAI WP Plugin: broken access control on AI settings
CVE-2025-31843PyTorch: lstm_cell memory corruption, local code exec
CVE-2025-3001PyTorch: memory corruption in torch.jit.script compiler
CVE-2025-3000PyTorch: memory corruption in RNN sequence unpacking
CVE-2025-2999PyTorch: 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-2025-26265SageMaker SDK: MD5 collision silently replaces ML workflows
CVE-2025-0508Open WebUI: missing authz leaks admin credentials
CVE-2024-7046open-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-2024-7034open-webui: path traversal allows file write and RCE
CVE-2024-7033Open WebUI: Stored XSS via file upload, session hijack
CVE-2024-7044Frequently 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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