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 565 results — Medium severity, Active exploitationvLLM: ReDoS crashes inference server via malformed regex
CVE-2025-48943vLLM: DoS via malformed JSON schema guided param
CVE-2025-48942vLLM: ReDoS in tool parser causes service outage
CVE-2025-48887transformers: ReDoS in GPT-NeoX Japanese tokenizer
CVE-2025-1194PyTorch: DoS via ctc_loss resource mishandling
CVE-2025-3730PyTorch: memory corruption in JIT flatbuffer loader
CVE-2025-3121PyTorch: 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: CSRF wipes RAG DB and AI memories via GET
CVE-2024-7035Open WebUI: missing authz leaks admin credentials
CVE-2024-7046open-webui: missing authz exposes admin prompts
CVE-2024-7045Open WebUI: Stored XSS via file upload, session hijack
CVE-2024-7044open-webui: path traversal allows file write and RCE
CVE-2024-7033open-webui: path traversal allows arbitrary file write/RCE
CVE-2024-7034llama-index: DoS via infinite recursion in web reader
CVE-2024-12910Frequently 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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