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
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Latest AI Security Threats
Showing 20 of 1961 results — Active exploitationMLflow: RCE via deserialization in crafted Recipes
CVE-2024-37060MLflow: RCE via malicious PyTorch model deserialization
CVE-2024-37059MLflow: RCE via malicious LangChain model deserialization
CVE-2024-37058MLflow: RCE via malicious TensorFlow model deserialization
CVE-2024-37057MLflow: RCE via LightGBM model deserialization
CVE-2024-37056MLflow: RCE via pmdarima model deserialization
CVE-2024-37055MLflow: deserialization RCE via malicious PyFunc model
CVE-2024-37054MLflow: RCE via malicious scikit-learn model deserialization
CVE-2024-37053MLflow: RCE via malicious scikit-learn model upload
CVE-2024-37052Gradio: CI/CD command injection enables secrets exfiltration
CVE-2024-4253Ollama: path traversal enables RCE via model blob API
CVE-2024-37032text-generation-inference: workflow injection RCE
CVE-2024-3924WP Testimonial Carousel: OpenAI API key hijack, no auth
CVE-2024-4858WordPress AI ChatBot: auth bypass enables OpenAI file upload
CVE-2024-0452wpbot: missing auth exposes OpenAI account files
CVE-2024-0451MLflow: broken access control allows artifact deletion
CVE-2024-4263llama_index: RCE via eval() in RunGptLLM connector
CVE-2024-4181MLflow: URL fragment bypass leaks SSH and cloud keys
CVE-2024-3848llama-cpp-python: SSTI in .gguf loader enables RCE
CVE-2024-34359Gradio: credential leakage via Windows path encoding bug
CVE-2024-34510Frequently 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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