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 1074 results — Active exploitationGradio: SSRF enables internal network port scanning
CVE-2024-1183 HuggingFace Transformers: RCE via pickle deserialization
CVE-2024-3568 Gradio: path traversal leaks arbitrary files, potential RCE
CVE-2024-1728 Ollama: DNS rebinding exposes LLM API to remote access
CVE-2024-28224 gpt_academic: deserialization RCE, no auth required
CVE-2024-31224 Gradio: timing attack enables auth bypass on ML UIs
CVE-2024-1729 Gradio: CI/CD command injection enables secrets exfil
CVE-2024-1540 Gradio: SSRF exposes internal HuggingFace endpoints
CVE-2024-2206 LangChain: Billion Laughs XML expansion causes DoS
CVE-2024-1455 Gradio: CSRF enables disk exhaustion via file upload DoS
CVE-2024-1727 LangChain: path traversal enables RCE and API key theft
CVE-2024-28088 LangChain TFIDFRetriever: SSRF/RCE via load_local
CVE-2024-2057 LangChain Experimental: RCE via Python sandbox escape
CVE-2024-27444 MLflow: XSS in recipe runner enables Jupyter RCE
CVE-2024-27133 MLflow: XSS in recipes enables client-side RCE
CVE-2024-27132 Gradio: unauthenticated LFI exposes full server filesystem
CVE-2024-0964 libtiff: heap overflow DoS in vLLM inference via TIFF input
CVE-2023-52356 LlamaIndex: SQL injection in Text-to-SQL feature
CVE-2024-23751 Gradio: path traversal grants arbitrary file read
CVE-2023-51449 Transformers: unsafe deserialization enables RCE on load
CVE-2023-7018 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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