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 342 results — Critical severityGradio: unauthenticated SSRF in /queue/join, internal pivot
CVE-2024-47167 LangChain-Experimental: RCE via eval in math chain
CVE-2024-46946 Panel: file exposure enables sensitive ML data collection
CVE-2024-6878 Panel: Reflected XSS enables session hijack in ML UI
CVE-2024-6877 Panel: plaintext credential storage enables domain compromise
CVE-2024-5960 Panel: Stored XSS enables session hijack in ML dashboards
CVE-2024-5959 Panel: SQL injection enables OS command execution
CVE-2024-5958 Nova Panel N7: auth bypass via alternate channel (EOL)
CVE-2024-6684 streamlit-geospatial: blind SSRF via unvalidated URL input
CVE-2024-41120 streamlit-geospatial: RCE via eval() on vis_params input
CVE-2024-41119 streamlit-geospatial: blind SSRF via WMS URL input
CVE-2024-41118 streamlit-geospatial: eval() injection allows RCE
CVE-2024-41117 streamlit-geospatial: RCE via eval() injection
CVE-2024-41116 streamlit-geospatial: eval() injection enables RCE
CVE-2024-41115 streamlit-geospatial: RCE via eval() on palette input
CVE-2024-41114 streamlit-geospatial: RCE via eval() in Timelapse page
CVE-2024-41113 streamlit-geospatial: RCE via eval() on palette input
CVE-2024-41112 TorchServe: URL bypass enables arbitrary model loading
CVE-2024-35198 Gradio: code injection via component metadata (CVSS 9.8)
CVE-2024-39236 Langflow: unauthenticated RCE via custom component API
CVE-2024-37014 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.
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