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 1076 results — has patchLabel Studio: XSS enables unauthorized actions via CSRF
CVE-2025-47783 llama_index: DoS via uncapped recursion in web reader
CVE-2025-1752 browser-use: URL allowlist bypass enables SSRF in agents
CVE-2025-47241 LLaMA-Factory: RCE via torch.load() unsafe deserialization
CVE-2025-46567 vLLM: RCE via malicious model, PyTorch < 2.6 bypass
GHSA-ggpf-24jw-3fcw vLLM: DoS via unbounded XGrammar schema cache
GHSA-hf3c-wxg2-49q9 jupyter-remote-desktop-proxy: VNC network exposure
CVE-2025-32428 xgrammar: unbounded grammar cache causes LLM server DoS
CVE-2025-32381 picklescan: bypass allows silent RCE in ML pipelines
GHSA-v7x6-rv5q-mhwc picklescan: numpy bypass enables RCE in ML model pipelines
GHSA-fj43-3qmq-673f picklescan: scanner bypass enables DNS data exfiltration
CVE-2025-46417 jupyterlab-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 torch.jit.script compiler
CVE-2025-3000 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: API key leakage in logs exposes credentials
CVE-2024-9606 litellm: unauthenticated DoS via multipart boundary parsing
CVE-2024-8984 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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