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 1017 results — High severityMLflow: RCE via malicious scikit-learn model upload
CVE-2024-37052 Ollama: path traversal enables RCE via model blob API
CVE-2024-37032 WordPress ChatBot: missing authz deletes OpenAI files
CVE-2024-0453 WordPress AI ChatBot: auth bypass enables OpenAI file upload
CVE-2024-0452 MLflow: URL fragment bypass leaks SSH and cloud keys
CVE-2024-3848 SolidUI: OpenAI API key exposed via log print statement
CVE-2024-34527 Gradio: credential leakage via Windows path encoding bug
CVE-2024-34510 SageMaker SDK: pickle deserialization enables RCE
CVE-2024-34072 PyTorch: use-after-free in JIT mobile interpreter, RCE
CVE-2024-31583 LangChain: path traversal allows arbitrary file R/W
CVE-2024-3571 MLflow: path traversal via URI fragment reads arbitrary files
CVE-2024-1594 MLflow: path traversal via ';' smuggling exposes files
CVE-2024-1593 MLflow: path traversal allows arbitrary directory deletion
CVE-2024-1560 MLflow: path traversal enables arbitrary file read
CVE-2024-1558 MLflow: path traversal exposes arbitrary server files
CVE-2024-1483 Gradio: path traversal leaks arbitrary files, potential RCE
CVE-2024-1728 Gradio: CI/CD command injection enables secrets exfil
CVE-2024-1540 LangChain: path traversal enables RCE and API key theft
CVE-2024-28088 libtiff: heap overflow DoS in vLLM inference via TIFF input
CVE-2023-52356 Gradio: path traversal grants arbitrary file read
CVE-2023-51449 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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