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 1074 results — Active exploitationHuggingFace Transformers: RCE via unsafe deserialization
CVE-2023-6730 MLflow: path traversal exposes arbitrary files (no auth)
CVE-2023-6909 MLflow: path traversal allows arbitrary file write
CVE-2023-6831 Gradio: command injection enables RCE on ML servers
CVE-2023-6572 MLflow: path traversal exposes arbitrary file read/write
CVE-2023-6753 MLflow: SSTI enables RCE in ML experiment tracking
CVE-2023-6709 MLflow: reflected XSS via Content-Type header injection
CVE-2023-6568 MLflow: unauth REST API leaks sensitive ML data
CVE-2023-43472 Ray: unauthenticated RCE via job submission API
CVE-2023-48022 Ray: unauthenticated LFI exposes entire filesystem
CVE-2023-6020 MLflow: auth bypass allows arbitrary account creation
CVE-2023-6014 Ray: LFI allows unauthenticated file read
CVE-2023-6021 Ray: unauthenticated RCE via dashboard command injection
CVE-2023-6019 MLflow: unauth file overwrite enables model poisoning
CVE-2023-6018 MLflow: unauthenticated arbitrary file write via PUT
CVE-2023-6015 MLeap: zip slip in model loading enables RCE
CVE-2023-5245 LangChain: prompt injection triggers SSRF via URL fetch
CVE-2023-32786 LangChain: SSRF in URL loader exposes internal network
CVE-2023-46229 LangChain: RCE bypass via __import__ in PAL chain
CVE-2023-44467 TorchServe: SSRF + RCE via unrestricted model URL loading
CVE-2023-43654 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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