AI Threat Alert
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
Critical
New This Week
In CISA KEV
Latest AI Security Threats
Showing 20 of 2385 results CVE-2024-3095 LangChain: SSRF in Web Retriever exposes cloud metadata 7.7 0.7% langchain Jun 6 HIGH E CVE-2024-2928 MLflow: URI fragment LFI exposes arbitrary files 7.5 21.8% mlflow Jun 6 HIGH E CVE-2024-0520 MLflow: path traversal enables RCE via dataset loading 8.8 2.4% mlflow Jun 6 CRIT E CVE-2024-5452 pytorch-lightning: RCE via deepdiff Delta deserialization 9.8 26.5% pytorch_lightning Jun 6 HIGH E CVE-2024-4941 Gradio: LFI via JSON path key exposes server files 7.5 0.8% gradio Jun 6 HIGH CVE-2024-4325 Gradio: SSRF exposes internal network and cloud metadata 8.6 37.4% gradio Jun 6 UNKN E CVE-2024-4254 Gradio: secrets exfiltration via unsafe fork PR workflow — 0.5% gradio Jun 4 HIGH E CVE-2024-37061 MLflow: RCE via malicious MLproject file execution 8.8 0.9% mlflow Jun 4 HIGH E CVE-2024-37060 MLflow: RCE via deserialization in crafted Recipes 8.8 0.8% mlflow Jun 4 HIGH E CVE-2024-37059 MLflow: RCE via malicious PyTorch model deserialization 8.8 0.6% mlflow Jun 4 HIGH E CVE-2024-37058 MLflow: RCE via malicious LangChain model deserialization 8.8 0.6% mlflow Jun 4 HIGH E CVE-2024-37057 MLflow: RCE via malicious TensorFlow model deserialization 8.8 0.6% mlflow Jun 4 HIGH E CVE-2024-37056 MLflow: RCE via LightGBM model deserialization 8.8 0.6% mlflow Jun 4 HIGH E CVE-2024-37055 MLflow: RCE via pmdarima model deserialization 8.8 0.6% mlflow Jun 4 HIGH E CVE-2024-37054 MLflow: deserialization RCE via malicious PyFunc model 8.8 0.7% mlflow Jun 4 HIGH E CVE-2024-37053 MLflow: RCE via malicious scikit-learn model deserialization 8.8 0.6% mlflow Jun 4 HIGH E CVE-2024-37052 MLflow: RCE via malicious scikit-learn model upload 8.8 0.6% mlflow Jun 4 CRIT E CVE-2024-4253 Gradio: CI/CD command injection enables secrets exfiltration 9.1 1.7% gradio Jun 4 HIGH CVE-2024-37032 Ollama: path traversal enables RCE via model blob API 8.8 89.6% ollama May 31 UNKN E CVE-2024-3924 text-generation-inference: workflow injection RCE — 0.3% — May 30 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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