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 314 results — Medium severity, Active exploitationPyTorch: memory corruption in torch.jit.script compiler
CVE-2025-3000 PyTorch: memory corruption in RNN sequence unpacking
CVE-2025-2999 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 SageMaker SDK: MD5 collision silently replaces ML workflows
CVE-2025-0508 Open WebUI: missing authz leaks admin credentials
CVE-2024-7046 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: Stored XSS via file upload, session hijack
CVE-2024-7044 llama-index: DoS via infinite recursion in web reader
CVE-2024-12910 MLflow: passwordless accounts enable persistent backdoor
CVE-2025-1474 Gradio: open redirect exposes AI demo users to phishing
CVE-2024-8021 MLflow: unconstrained input causes UI denial of service
CVE-2024-6838 TorchServe: unverified S3 bucket exposes benchmark data
CVE-2024-6577 Gradio: NTFS ADS bypass exposes blocked file paths
CVE-2024-12217 langchain-core: file read via prompt template inputs
CVE-2024-10940 vLLM: DoS via unbounded grammar cache exhausts disk
CVE-2025-29770 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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