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
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Latest AI Security Threats
Showing 20 of 1346 results — Active exploitation, no patchLangChain-Experimental: RCE via eval in math chain
CVE-2024-46946Panel: file exposure enables sensitive ML data collection
CVE-2024-6878Panel: Reflected XSS enables session hijack in ML UI
CVE-2024-6877Panel: plaintext credential storage enables domain compromise
CVE-2024-5960Panel: Stored XSS enables session hijack in ML dashboards
CVE-2024-5959Panel: SQL injection enables OS command execution
CVE-2024-5958ilab/vllm: best_of param causes inference API DoS
CVE-2024-8939vLLM: unauthenticated DoS via empty completion prompt
CVE-2024-8768LangChain: RCE via FAISS pickle deserialization
CVE-2024-5998LiteLLM: SSRF leaks OpenAI API key to attacker
CVE-2024-6587MindsDB: RCE via eval() injection in ChromaDB INSERT
CVE-2024-45848Ollama: ZIP path traversal exposes host filesystem
CVE-2024-45436Streamlit: path traversal leaks Windows NTLM hash
CVE-2024-42474OpenShift AI: model auth bypass via exposed token
CVE-2024-7557Langflow: mass assignment grants super admin access
CVE-2024-7297streamlit-geospatial: blind SSRF via unvalidated URL input
CVE-2024-41120streamlit-geospatial: RCE via eval() on vis_params input
CVE-2024-41119streamlit-geospatial: blind SSRF via WMS URL input
CVE-2024-41118streamlit-geospatial: eval() injection allows RCE
CVE-2024-41117streamlit-geospatial: RCE via eval() injection
CVE-2024-41116Frequently 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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