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 342 results — Critical severityChuanhuChatGPT: 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 gpt_academic: deserialization RCE, no auth required
CVE-2024-31224 LangChain TFIDFRetriever: SSRF/RCE via load_local
CVE-2024-2057 LangChain Experimental: RCE via Python sandbox escape
CVE-2024-27444 MLflow: XSS in recipe runner enables Jupyter RCE
CVE-2024-27133 MLflow: XSS in recipes enables client-side RCE
CVE-2024-27132 Gradio: unauthenticated LFI exposes full server filesystem
CVE-2024-0964 LlamaIndex: SQL injection in Text-to-SQL feature
CVE-2024-23751 Ray: unauthenticated RCE via job submission API
CVE-2023-48022 Ray: unauthenticated LFI exposes entire filesystem
CVE-2023-6020 MLflow: auth bypass allows arbitrary account creation
CVE-2023-6014 Ray: LFI allows unauthenticated file read
CVE-2023-6021 Ray: unauthenticated RCE via dashboard command injection
CVE-2023-6019 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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