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 1431 results — has patchllama-index: DocugamiReader MD5 hash collision drops chunks
CVE-2025-6211llama_index: path traversal allows arbitrary file read
CVE-2025-6209llama-index Obsidian reader: hardlink path traversal leaks files
CVE-2025-6210llama-index: JSONReader DoS via recursive JSON parsing
CVE-2025-5472llama-index ArxivReader: MD5 collision corrupts training data
CVE-2025-3044llama-index Papers Loader: XML expansion DoS
CVE-2025-3225LlamaIndex Obsidian: symlink traversal exposes host files
CVE-2025-3046llama-index: RCE via unsafe pickle deserialization
CVE-2025-3108MLflow: unauthenticated SSRF in gateway proxy
CVE-2025-52967llama_index: SQL injection in vector store integrations
CVE-2025-1793jupyter_core: config hijack enables cross-user code exec
CVE-2025-30167vllm: ReDoS in inference endpoints enables DoS
GHSA-j828-28rj-hfhpLabel Studio: XSS enables unauthorized actions via CSRF
CVE-2025-47783llama_index: DoS via uncapped recursion in web reader
CVE-2025-1752browser-use: URL allowlist bypass enables SSRF in agents
CVE-2025-47241LLaMA-Factory: RCE via torch.load() unsafe deserialization
CVE-2025-46567vLLM: RCE via malicious model, PyTorch < 2.6 bypass
GHSA-ggpf-24jw-3fcwvLLM: DoS via unbounded XGrammar schema cache
GHSA-hf3c-wxg2-49q9jupyter-remote-desktop-proxy: VNC network exposure
CVE-2025-32428xgrammar: unbounded grammar cache causes LLM server DoS
CVE-2025-32381Frequently 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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