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 251 results — Active exploitation, has patchopen-webui: Code Injection enables RCE
CVE-2025-64496 Open WebUI: XSS-to-RCE via malicious prompt injection
CVE-2025-64495 langgraph-checkpoint: Deserialization enables RCE
CVE-2025-64439 keras: Path Traversal enables file access
CVE-2025-12060 langgraph-checkpoint-sqlite: SQL Injection exposes database
CVE-2025-64104 Keras: safe_mode bypass enables file read and SSRF
CVE-2025-12058 langgraph-checkpoint-sqlite: SQL Injection exposes database
CVE-2025-8709 keras: Deserialization enables RCE
CVE-2025-49655 vLLM: SSRF in media loader exposes internal network
CVE-2025-6242 LLaMA-Factory: SSRF+LFI in multimodal chat API
CVE-2025-61784 langchain-text-splitters: XXE enables arbitrary file read
CVE-2025-6985 clearml: path traversal in safe_extract → RCE risk
CVE-2025-8917 llama-index-core: insecure /tmp dir, model theft risk
CVE-2025-7647 Picklescan: CRC bypass hides malicious pickle in ZIP
CVE-2025-10156 PickleScan: subclass bypass enables malicious model RCE
CVE-2025-10157 MONAI: unsafe pickle deserialization RCE in data pipeline
CVE-2025-58757 MONAI: unsafe deserialization in CheckpointLoader allows RCE
CVE-2025-58756 MONAI: path traversal allows arbitrary file write
CVE-2025-58755 xgrammar: DoS via oversized JSON schema grammar parsing
CVE-2025-58446 EverNoteLoader: XXE exposes host files in LangChain
CVE-2025-6984 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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