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 severityMLflow: URL encoding bypass enables model poisoning
CVE-2024-3099 WP Testimonial Carousel: OpenAI API key hijack, no auth
CVE-2024-4858 wpbot: missing auth exposes OpenAI account files
CVE-2024-0451 MLflow: broken access control allows artifact deletion
CVE-2024-4263 PyTorch: OOB read in mobile model loader leaks memory
CVE-2024-31584 PyTorch: heap buffer overflow causes local DoS
CVE-2024-31580 stable-diffusion-webui: path traversal file write
CVE-2024-31462 Ollama: DNS rebinding exposes LLM API to remote access
CVE-2024-28224 Gradio: SSRF exposes internal HuggingFace endpoints
CVE-2024-2206 LangChain: Billion Laughs XML expansion causes DoS
CVE-2024-1455 Intel TF Opt: buffer overflow enables local privesc
CVE-2023-30767 MLflow: reflected XSS via Content-Type header injection
CVE-2023-6568 TorchServe: ZipSlip arbitrary file write via model upload
CVE-2023-48299 Gradio: arbitrary file upload via /upload endpoint
CVE-2023-41626 ChuanhuChatGPT: config exposure leaks API keys
CVE-2023-34094 Transformers: temp file race condition allows local DoS
CVE-2023-2800 n8n: path traversal allows arbitrary file read
CVE-2023-27562 AI ChatBot WP: auth bypass exposes OpenAI config + XSS
CVE-2023-1651 TensorFlow: DoS via malformed Convolution3D input
CVE-2023-25661 Streamlit: reflected XSS enables session hijacking
CVE-2023-27494 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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