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 patchskops: joblib fallback enables RCE via model load
CVE-2025-54886 ExecuTorch: OOB read in model loader enables RCE
CVE-2025-54950 skops: RCE via MethodNode unsafe deserialization
CVE-2025-54413 skops: OperatorFuncNode type confusion → RCE
CVE-2025-54412 llama-index: DocugamiReader MD5 hash collision drops chunks
CVE-2025-6211 llama_index: path traversal allows arbitrary file read
CVE-2025-6209 llama-index: JSONReader DoS via recursive JSON parsing
CVE-2025-5472 llama-index Obsidian reader: hardlink path traversal leaks files
CVE-2025-6210 LlamaIndex Obsidian: symlink traversal exposes host files
CVE-2025-3046 llama-index ArxivReader: MD5 collision corrupts training data
CVE-2025-3044 llama-index Papers Loader: XML expansion DoS
CVE-2025-3225 llama-index: RCE via unsafe pickle deserialization
CVE-2025-3108 llama_index: SQL injection in vector store integrations
CVE-2025-1793 jupyter_core: config hijack enables cross-user code exec
CVE-2025-30167 Label 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 jupyter-remote-desktop-proxy: VNC network exposure
CVE-2025-32428 picklescan: scanner bypass enables DNS data exfiltration
CVE-2025-46417 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.
Need deeper analysis?
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