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
Critical
New This Week
In CISA KEV
Latest AI Security Threats
Showing 20 of 533 results — Critical severityLangChain PALChain: RCE via unsanitized exec() calls
CVE-2023-36095MLflow: path traversal allows arbitrary file read
CVE-2023-3765QuickAI: unauthenticated SQLi exposes OpenAI API keys
CVE-2023-3686LangChain: RCE via PALChain unsanitized Python exec
CVE-2023-36188LangChain: unauthenticated RCE via code injection
CVE-2023-36258LangChain: RCE via unsafe load_prompt deserialization
CVE-2023-34541LangChain: RCE via JiraAPIWrapper crafted input
CVE-2023-34540Gradio: path traversal + SSRF exposes model files & infra
CVE-2023-34239MLflow: path traversal allows arbitrary file read/write
CVE-2023-2780LangChain: RCE via prompt injection in LLMMathChain
CVE-2023-29374TensorFlow: unauthenticated RCE via heap buffer overflow
CVE-2023-25668TensorFlow: heap overflow in AvgPoolGrad, RCE risk
CVE-2023-25664MLflow: path traversal allows arbitrary file read/write
CVE-2023-1177Gradio: hardcoded SSH key leaks via share=True demos
CVE-2023-25823TensorFlow Grappler: OOB read crashes or leaks memory
CVE-2022-41910TensorFlow Grappler: OOB read/crash via crafted model
CVE-2022-41902PyTorch: RCE via unsafe eval in JIT annotations
CVE-2022-45907Netgear R7000P: buffer overflow via DNS params
CVE-2022-44194TensorFlow: heap OOB RCE in FractionalMaxPool op
CVE-2022-41900TensorFlow: heap OOB read in candidate sampler op
CVE-2022-41880Frequently 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?
Get ATLAS technique mappings, compliance reports (ISO 42001, EU AI Act), breaking alerts, and full CISO analysis with a Pro subscription.
Start 14-Day Free Trial