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 839 results — Medium severitylollms: path traversal allows arbitrary directory read
CVE-2024-6985 Gradio: stored XSS via malicious file upload
CVE-2024-47872 Gradio: monitoring endpoint bypass leaks app analytics
CVE-2024-47168 Gradio: path traversal leaks custom component source
CVE-2024-47166 Gradio: CORS null origin bypass leaks auth tokens
CVE-2024-47165 Gradio: path traversal bypasses directory access controls
CVE-2024-47164 Gradio: Dropdown validation bypass enables arbitrary input
GHSA-26jh-r8g2-6fpr open-webui: path traversal → arbitrary file write/RCE
CVE-2024-7037 open-webui: IDOR enables cross-user memory tampering
CVE-2024-7041 Langflow: ReDoS crashes LLM workflow backend via HTTP POST
CVE-2024-9277 ChatGPT WP Plugin: OpenAI API key leak via unauth REST
CVE-2024-6845 ilab/vllm: best_of param causes inference API DoS
CVE-2024-8939 Streamlit: path traversal leaks Windows NTLM hash
CVE-2024-42474 Flowise: reflected XSS enables credential theft
CVE-2024-37146 Flowise: reflected XSS enables file read chain via chatflow
CVE-2024-37145 Flowise: reflected XSS in chatflow API enables session hijack
CVE-2024-36423 Flowise: reflected XSS enables session hijack and file read
CVE-2024-36422 Gradio: open redirect enables phishing against ML users
CVE-2024-4940 langchain-community: DoS via recursive sitemap loop
CVE-2024-2965 scikit-learn: TfidfVectorizer leaks training data tokens
CVE-2024-5206 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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