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 2369 results — no patchopen-webui: unauthenticated DoS disables Admin panel
CVE-2024-7036 Open WebUI: Stored XSS via file upload, session hijack
CVE-2024-7044 Open WebUI: auth bypass exposes all user files
CVE-2024-7043 open-webui: DoS via starlette memory exhaustion
GHSA-w466-2wfc-8g58 llama-index finchat: SQL injection enables RCE
CVE-2024-12909 BentoML: DoS via multipart boundary in Gradio login
GHSA-hh3j-9m59-p8vc BentoML: open redirect exposes ML teams to phishing
GHSA-564p-rx2q-4c8v Open-WebUI: unauthenticated DoS via code formatter
CVE-2024-12537 open-webui: unauthenticated DoS via login payload flood
CVE-2024-12534 H2O-3: unauthenticated AST parser enables DoS + file write
CVE-2024-10572 MLflow: passwordless accounts enable persistent backdoor
CVE-2025-1474 MLflow: CSRF in signup allows rogue account creation
CVE-2025-1473 MLflow: GraphQL DoS disables ML tracking server
CVE-2025-0453 Ollama: DoS via malicious GGUF model file upload
CVE-2025-0317 Ollama: GGUF model upload causes memory exhaustion DoS
CVE-2025-0315 Ollama: null pointer DoS via malicious GGUF model upload
CVE-2025-0312 Gradio: DoS via oversized upload filename
CVE-2025-0187 BentoML: unauthenticated RCE via runner deserialization
CVE-2024-9070 BentoML: DoS via multipart boundary exhausts server
CVE-2024-9056 vllm: RCE via unsafe pickle deserialization in RPC server
CVE-2024-9053 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?
Get ATLAS technique mappings, compliance reports (ISO 42001, EU AI Act), breaking alerts, and full CISO analysis with a Pro subscription.
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