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 943 results — High severity, Active exploitationlibssh: OOB read in SFTP handle leaks memory
CVE-2025-5318Karel IP1211: path traversal exposes arbitrary files
CVE-2025-34023jupyter_core: config hijack enables cross-user code exec
CVE-2025-30167Gradio: unauthenticated file copy enables disk DoS
CVE-2025-48889llama-index-cli: OS command injection enables RCE
CVE-2025-1753transformers: ReDoS in testing_utils causes DoS
CVE-2025-2099Label Studio: XSS enables unauthorized actions via CSRF
CVE-2025-47783llama_index: DoS via uncapped recursion in web reader
CVE-2025-1752LLaMA-Factory: RCE via torch.load() unsafe deserialization
CVE-2025-46567vLLM: DoS via quadratic multimodal tokenizer input
CVE-2025-46560vLLM: ZeroMQ socket exposure enables DoS in multi-node
CVE-2025-30202picklescan: scanner bypass enables DNS data exfiltration
CVE-2025-46417jupyterlab-git: command injection via malicious repo name
CVE-2025-30370LiteLLM: Langfuse API key leak via error handling
CVE-2025-0330litellm: privilege escalation viewer→proxy admin via bad API key
CVE-2025-0628litellm: unauthenticated DoS via multipart boundary parsing
CVE-2024-8984pytorch-lightning: unauthenticated DoS crashes LightningApp
CVE-2024-8020open-webui: Stored XSS enables admin session hijack
CVE-2024-7990Open-WebUI: unauthenticated PDF endpoint enables DoS
CVE-2024-8053open-webui: unauthenticated DoS via markdown parser
CVE-2024-7983Frequently 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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