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.

Each CVE is enriched with
  • CVSS severity
  • EPSS exploit probability
  • Exploitation confidence
  • AI-component classification
  • Compliance mappings
4,307

AI/ML CVEs Tracked

533

Critical

96

New This Week

25

In CISA KEV

Latest AI Security Threats

Showing 20 of 533 results — Critical severity
SeverityCVE IDSummaryCVSSEPSSPackageDate
CRITECVE-2024-27133MLflow: XSS in recipe runner enables Jupyter RCE9.60.7%mlflowFeb 23CRITECVE-2024-27132MLflow: XSS in recipes enables client-side RCE9.60.9%mlflowFeb 23CRITECVE-2024-0964Gradio: unauthenticated LFI exposes full server filesystem9.41.0%gradioFeb 5CRITECVE-2024-23827Nginx-UI: arbitrary file write via cert import leads to RCE9.80.7%github.com/0xJacky/Nginx-UIJan 29CRITECVE-2024-23751LlamaIndex: SQL injection in Text-to-SQL feature9.80.7%llamaindexJan 22CRITCVE-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 16CRITECVE-2023-5245MLeap: zip slip in model loading enables RCE9.81.2%—Nov 15CRITCVE-2023-32785LangChain: prompt injection → SQL RCE (CVSS 9.8)9.8—langchainOct 21CRITCVE-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 22CRITECVE-2023-39659LangChain: RCE via unsanitized PythonAstREPL input9.81.5%langchainAug 15CRITECVE-2023-38896LangChain: RCE via unsandboxed LLM code execution9.81.8%langchainAug 15CRITECVE-2023-38860LangChain: RCE via unsanitized prompt parameter9.81.4%langchainAug 15

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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