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 230 results — Critical severity, no patchstreamlit-geospatial: blind SSRF via unvalidated URL input
CVE-2024-41120 streamlit-geospatial: RCE via eval() on vis_params input
CVE-2024-41119 streamlit-geospatial: blind SSRF via WMS URL input
CVE-2024-41118 streamlit-geospatial: eval() injection allows RCE
CVE-2024-41117 streamlit-geospatial: RCE via eval() injection
CVE-2024-41116 streamlit-geospatial: eval() injection enables RCE
CVE-2024-41115 streamlit-geospatial: RCE via eval() on palette input
CVE-2024-41114 streamlit-geospatial: RCE via eval() in Timelapse page
CVE-2024-41113 streamlit-geospatial: RCE via eval() on palette input
CVE-2024-41112 TorchServe: URL bypass enables arbitrary model loading
CVE-2024-35198 Gradio: code injection via component metadata (CVSS 9.8)
CVE-2024-39236 Langflow: unauthenticated RCE via custom component API
CVE-2024-37014 ChuanhuChatGPT: path traversal exposes LLM API keys
CVE-2024-3234 pytorch-lightning: RCE via deepdiff Delta deserialization
CVE-2024-5452 Gradio: CI/CD command injection enables secrets exfiltration
CVE-2024-4253 llama-cpp-python: SSTI in .gguf loader enables RCE
CVE-2024-34359 Keras: RCE via malicious model deserialization
CVE-2024-3660 MLflow: LFI via URI parsing allows arbitrary file read
CVE-2024-3573 BentoML: RCE via insecure deserialization (CVSS 10)
CVE-2024-2912 HuggingFace Transformers: RCE via pickle deserialization
CVE-2024-3568 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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