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 1561 results — no patchPanel: 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 ilab/vllm: best_of param causes inference API DoS
CVE-2024-8939 vLLM: unauthenticated DoS via empty completion prompt
CVE-2024-8768 LangChain: RCE via FAISS pickle deserialization
CVE-2024-5998 LiteLLM: SSRF leaks OpenAI API key to attacker
CVE-2024-6587 MindsDB: RCE via eval() injection in ChromaDB INSERT
CVE-2024-45848 Ollama: ZIP path traversal exposes host filesystem
CVE-2024-45436 Streamlit: path traversal leaks Windows NTLM hash
CVE-2024-42474 Nova Panel N7: auth bypass via alternate channel (EOL)
CVE-2024-6684 TensorFlow: DoS via upper_bound rank validation crash
CVE-2023-33976 Langflow: mass assignment grants super admin access
CVE-2024-7297 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 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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