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 615 results — Active exploitation, has patchlanggraph-checkpoint: Deserialization enables RCE
CVE-2025-64439keras: Path Traversal enables file access
CVE-2025-12060langgraph-checkpoint-sqlite: SQL Injection exposes database
CVE-2025-64104Keras: safe_mode bypass enables file read and SSRF
CVE-2025-12058langgraph-checkpoint-sqlite: SQL Injection exposes database
CVE-2025-8709keras: Deserialization enables RCE
CVE-2025-49655vLLM: SSRF in media loader exposes internal network
CVE-2025-6242LLaMA-Factory: SSRF+LFI in multimodal chat API
CVE-2025-61784langchain-text-splitters: XXE enables arbitrary file read
CVE-2025-6985clearml: path traversal in safe_extract → RCE risk
CVE-2025-8917llama-index-core: insecure /tmp dir, model theft risk
CVE-2025-7647Picklescan: CRC bypass hides malicious pickle in ZIP
CVE-2025-10156PickleScan: subclass bypass enables malicious model RCE
CVE-2025-10157MONAI: unsafe pickle deserialization RCE in data pipeline
CVE-2025-58757MONAI: unsafe deserialization in CheckpointLoader allows RCE
CVE-2025-58756MONAI: path traversal allows arbitrary file write
CVE-2025-58755xgrammar: DoS via oversized JSON schema grammar parsing
CVE-2025-58446EverNoteLoader: XXE exposes host files in LangChain
CVE-2025-6984llama-index: JSON parsing DoS via deep recursion
CVE-2025-5302xgrammar: uncontrolled recursion in grammar parsing causes DoS
CVE-2025-57809Frequently 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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