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 308 results — Medium severity, has patchpicklescan: PyTorch bypass allows undetected RCE
GHSA-4r9r-ch6f-vxmx llama-index: DocugamiReader MD5 hash collision drops chunks
CVE-2025-6211 llama-index Obsidian reader: hardlink path traversal leaks files
CVE-2025-6210 llama-index: JSONReader DoS via recursive JSON parsing
CVE-2025-5472 llama-index ArxivReader: MD5 collision corrupts training data
CVE-2025-3044 llama-index: RCE via unsafe pickle deserialization
CVE-2025-3108 MLflow: unauthenticated SSRF in gateway proxy
CVE-2025-52967 vllm: ReDoS in inference endpoints enables DoS
GHSA-j828-28rj-hfhp vLLM: DoS via unbounded XGrammar schema cache
GHSA-hf3c-wxg2-49q9 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 PyTorch: lstm_cell memory corruption, local code exec
CVE-2025-3001 PyTorch: memory corruption in RNN sequence unpacking
CVE-2025-2999 SageMaker SDK: MD5 collision silently replaces ML workflows
CVE-2025-0508 llama-index: DoS via infinite recursion in web reader
CVE-2024-12910 langchain-core: file read via prompt template inputs
CVE-2024-10940 picklescan: ZIP spoof lets malicious PyTorch models bypass scan
CVE-2025-1944 Ray: Redis password exposed via plaintext logging
CVE-2025-1979 picklescan: scanner bypass enables supply chain RCE
CVE-2025-1716 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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