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 1561 results — no patchlitellm: arbitrary file deletion via audio endpoint
CVE-2024-4888 ChuanhuChatGPT: path traversal exposes LLM API keys
CVE-2024-3234 MLflow: URL encoding bypass enables model poisoning
CVE-2024-3099 LangChain: SSRF in Web Retriever exposes cloud metadata
CVE-2024-3095 MLflow: URI fragment LFI exposes arbitrary files
CVE-2024-2928 MLflow: path traversal enables RCE via dataset loading
CVE-2024-0520 pytorch-lightning: RCE via deepdiff Delta deserialization
CVE-2024-5452 Gradio: LFI via JSON path key exposes server files
CVE-2024-4941 Gradio: SSRF exposes internal network and cloud metadata
CVE-2024-4325 Gradio: secrets exfiltration via unsafe fork PR workflow
CVE-2024-4254 MLflow: RCE via malicious MLproject file execution
CVE-2024-37061 MLflow: RCE via deserialization in crafted Recipes
CVE-2024-37060 MLflow: RCE via malicious PyTorch model deserialization
CVE-2024-37059 MLflow: RCE via malicious LangChain model deserialization
CVE-2024-37058 MLflow: RCE via malicious TensorFlow model deserialization
CVE-2024-37057 MLflow: RCE via LightGBM model deserialization
CVE-2024-37056 MLflow: RCE via pmdarima model deserialization
CVE-2024-37055 MLflow: deserialization RCE via malicious PyFunc model
CVE-2024-37054 MLflow: RCE via malicious scikit-learn model deserialization
CVE-2024-37053 MLflow: RCE via malicious scikit-learn model upload
CVE-2024-37052 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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