AI Threat AlertAI 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
Critical
New This Week
In CISA KEV
Latest AI Security Threats
Showing 20 of 1961 results — Active exploitationCVE-2023-6831MLflow: path traversal allows arbitrary file write8.13.3%mlflowDec 15HIGHECVE-2023-6572Gradio: command injection enables RCE on ML servers8.11.7%gradioDec 14HIGHECVE-2023-6753MLflow: path traversal exposes arbitrary file read/write8.81.1%mlflowDec 13HIGHECVE-2023-6709MLflow: SSTI enables RCE in ML experiment tracking8.80.9%mlflowDec 12MEDIECVE-2023-6568MLflow: reflected XSS via Content-Type header injection6.11.7%mlflowDec 7HIGHECVE-2023-43472MLflow: unauth REST API leaks sensitive ML data7.536.6%mlflowDec 5CRITCVE-2023-48022Ray: unauthenticated RCE via job submission API9.883.9%rayNov 28CRITECVE-2023-6020Ray: unauthenticated LFI exposes entire filesystem9.314.7%rayNov 16CRITECVE-2023-6014MLflow: auth bypass allows arbitrary account creation9.81.2%mlflowNov 16CRITECVE-2023-6021Ray: LFI allows unauthenticated file read9.337.1%rayNov 16CRITECVE-2023-6019Ray: unauthenticated RCE via dashboard command injection9.874.6%rayNov 16CRITECVE-2023-6018MLflow: unauth file overwrite enables model poisoning9.847.9%mlflowNov 16HIGHECVE-2023-6015MLflow: unauthenticated arbitrary file write via PUT7.54.5%mlflowNov 16CRITECVE-2023-5245MLeap: zip slip in model loading enables RCE9.81.2%—Nov 15HIGHECVE-2023-32786LangChain: prompt injection triggers SSRF via URL fetch7.50.7%langchainOct 20HIGHCVE-2023-46229LangChain: SSRF in URL loader exposes internal network8.847.6%langchainOct 19CRITCVE-2023-44467LangChain: RCE bypass via __import__ in PAL chain9.81.0%langchain_experimentalOct 9CRITCVE-2023-43654TorchServe: SSRF + RCE via unrestricted model URL loading9.842.5%torchserveSep 28CRITECVE-2023-39631LangChain: RCE via numexpr evaluate injection9.81.6%langchainSep 1CRITECVE-2023-36281LangChain: RCE via malicious JSON prompt template9.83.4%langchainAug 22Frequently 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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