AI Threat AlertAI 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 patchopen-webui: unauthenticated DoS disables Admin panel
CVE-2024-7036Open WebUI: Stored XSS via file upload, session hijack
CVE-2024-7044llama-index finchat: SQL injection enables RCE
CVE-2024-12909Open-WebUI: unauthenticated DoS via code formatter
CVE-2024-12537open-webui: unauthenticated DoS via login payload flood
CVE-2024-12534H2O-3: unauthenticated AST parser enables DoS + file write
CVE-2024-10572MLflow: passwordless accounts enable persistent backdoor
CVE-2025-1474MLflow: CSRF in signup allows rogue account creation
CVE-2025-1473MLflow: GraphQL DoS disables ML tracking server
CVE-2025-0453Ollama: DoS via malicious GGUF model file upload
CVE-2025-0317Ollama: GGUF model upload causes memory exhaustion DoS
CVE-2025-0315Ollama: null pointer DoS via malicious GGUF model upload
CVE-2025-0312Gradio: DoS via oversized upload filename
CVE-2025-0187BentoML: unauthenticated RCE via runner deserialization
CVE-2024-9070BentoML: DoS via multipart boundary exhausts server
CVE-2024-9056vllm: RCE via unsafe pickle deserialization in RPC server
CVE-2024-9053Gradio: DoS via malformed multipart boundary
CVE-2024-8966MLflow: path traversal allows arbitrary file read via DBFS
CVE-2024-8859ollama: divide-by-zero DoS via crafted GGUF model import
CVE-2024-8063Gradio: open redirect exposes AI demo users to phishing
CVE-2024-8021Frequently 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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