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 1908 results — High severityTransformers: RCE via MaskFormer model deserialization
CVE-2024-11393HuggingFace Transformers: RCE via config deserialization
CVE-2024-11392Intel Extension for Transformers: path traversal privesc
CVE-2024-21799TorchGeo: RCE via code injection in geospatial ML lib
CVE-2024-49048LightGBM: heap buffer overflow enables network RCE
CVE-2024-43598Ollama: path traversal exposes server filesystem
CVE-2024-39722Ollama: DoS via /dev/random causes goroutine exhaustion
CVE-2024-39721Ollama: OOB read in GGUF parser enables remote DoS
CVE-2024-39720Ollama: file existence oracle via api/create errors
CVE-2024-39719Gradio: race condition enables backend URL hijacking
CVE-2024-47870Gradio: path traversal leaks arbitrary server files
CVE-2024-47868Gradio: no integrity check on FRP binary, supply chain RCE
CVE-2024-47867Gradio: CORS bypass exposes local instances to credential theft
CVE-2024-47084AYS ChatGPT WP Plugin: auth bypass disables AI service
CVE-2024-7714vLLM: unauthenticated DoS via empty completion prompt
CVE-2024-8768LangChain: RCE via FAISS pickle deserialization
CVE-2024-5998LiteLLM: SSRF leaks OpenAI API key to attacker
CVE-2024-6587MindsDB: RCE via eval() injection in ChromaDB INSERT
CVE-2024-45848Ollama: ZIP path traversal exposes host filesystem
CVE-2024-45436OpenShift AI: model auth bypass via exposed token
CVE-2024-7557Frequently 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.
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