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 1346 results — Active exploitation, no patchGradio: path traversal enables arbitrary file read
CVE-2024-1561MLflow: path traversal allows arbitrary directory deletion
CVE-2024-1560MLflow: path traversal enables arbitrary file read
CVE-2024-1558MLflow: path traversal exposes arbitrary server files
CVE-2024-1483Gradio: SSRF enables internal network port scanning
CVE-2024-1183HuggingFace Transformers: RCE via pickle deserialization
CVE-2024-3568Gradio: path traversal leaks arbitrary files, potential RCE
CVE-2024-1728Ollama: DNS rebinding exposes LLM API to remote access
CVE-2024-28224gpt_academic: deserialization RCE, no auth required
CVE-2024-31224Gradio: timing attack enables auth bypass on ML UIs
CVE-2024-1729Gradio: CI/CD command injection enables secrets exfil
CVE-2024-1540Vert.x: memory leak in HTTP client enables DoS
CVE-2024-1023Gradio: SSRF exposes internal HuggingFace endpoints
CVE-2024-2206LangChain: Billion Laughs XML expansion causes DoS
CVE-2024-1455Gradio: CSRF enables disk exhaustion via file upload DoS
CVE-2024-1727LangChain: path traversal enables RCE and API key theft
CVE-2024-28088LangChain TFIDFRetriever: SSRF/RCE via load_local
CVE-2024-2057LangChain Experimental: RCE via Python sandbox escape
CVE-2024-27444MLflow: XSS in recipe runner enables Jupyter RCE
CVE-2024-27133MLflow: XSS in recipes enables client-side RCE
CVE-2024-27132Frequently 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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