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 249 results — Active exploitation, has patchjupyterlab-git: command injection via malicious repo name
CVE-2025-30370 PyTorch: lstm_cell memory corruption, local code exec
CVE-2025-3001 PyTorch: memory corruption in RNN sequence unpacking
CVE-2025-2999 InvokeAI: RCE via unsafe torch.load deserialization
CVE-2024-12029 litellm: privilege escalation viewer→proxy admin via bad API key
CVE-2025-0628 SageMaker SDK: MD5 collision silently replaces ML workflows
CVE-2025-0508 litellm: unauthenticated DoS via multipart boundary parsing
CVE-2024-8984 OpenWebUI: path traversal RCE via audio upload API
CVE-2024-8060 ONNX: path traversal in download_model enables RCE
CVE-2024-7776 Open-WebUI: CSRF enables RCE via pipeline code injection
CVE-2024-7806 pytorch-lightning: file upload RCE (Windows)
CVE-2024-8019 lollms: RCE via eval() sandbox bypass in Calculate
CVE-2024-6982 llama-index: DoS via infinite recursion in web reader
CVE-2024-12910 llama-index DuckDB retriever: SQLi enables RCE
CVE-2024-11958 langchain-core: file read via prompt template inputs
CVE-2024-10940 picklescan: ZIP spoof lets malicious PyTorch models bypass scan
CVE-2025-1944 spacy-llm: SSTI allows unauthenticated RCE (CVSS 9.8)
CVE-2025-25362 picklescan: scanner bypass enables supply chain RCE
CVE-2025-1716 picklescan: extension bypass enables RCE on model load
CVE-2025-1889 Label Studio: reflected XSS via label_config param
CVE-2025-25296 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.
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