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 818 results — Active exploitation, no patchGradio: ACL bypass via path case manipulation
CVE-2025-23042 Keras: path traversal enables arbitrary file write
CVE-2024-55459 WP Text Prompter: Stored XSS in OpenAI shortcode plugin
CVE-2024-11896 Lobe Chat: pre-auth SSRF leaks OpenAI API keys
CVE-2024-32965 Transformers: RCE via Trax model deserialization
CVE-2024-11394 Transformers: RCE via MaskFormer model deserialization
CVE-2024-11393 HuggingFace Transformers: RCE via config deserialization
CVE-2024-11392 Intel Extension for Transformers: path traversal privesc
CVE-2024-21799 Gradio: path traversal exposes arbitrary server files
CVE-2024-51751 Langflow: RCE via unsandboxed code component execution
CVE-2024-48061 Gradio: SSRF in DownloadButton exposes internal resources
CVE-2024-48052 Ollama: path traversal exposes server filesystem
CVE-2024-39722 Ollama: DoS via /dev/random causes goroutine exhaustion
CVE-2024-39721 Ollama: OOB read in GGUF parser enables remote DoS
CVE-2024-39720 Ollama: file existence oracle via api/create errors
CVE-2024-39719 Langflow: Unauthenticated RCE via PythonCodeTool
CVE-2024-42835 PyTorch: RCE via RemoteModule deserialization
CVE-2024-48063 Lollms: SVG upload XSS enables session hijack and RCE
CVE-2024-6581 LangChain GraphCypher: prompt injection enables DB wipe
CVE-2024-8309 LangChain.js: path traversal, arbitrary file read/write
CVE-2024-7774 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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