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