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 672 results — High severity, no patchTransformers: ReDoS in Nougat tokenizer causes DoS
CVE-2024-12720 llama-index: DoS via infinite loop in LangChain LLM
CVE-2024-12704 Ollama: DoS via malicious gguf model file upload
CVE-2024-12055 GPT Academic: SSRF in Markdown plugin leaks credentials
CVE-2024-11031 GPT Academic: SSRF via unsanitized HotReload plugin
CVE-2024-11030 Gradio: path traversal enables arbitrary file deletion DoS
CVE-2024-10648 Gradio: ReDoS in DateTime causes CPU exhaustion DoS
CVE-2024-10624 Gradio: zip bomb DoS via dataframe CSV upload
CVE-2024-10569 PyTorch: memory corruption in JIT profiler callback handler
CVE-2025-2148 gpt_academic: symlink traversal exposes all server files
CVE-2025-25185 vLLM: unsafe deserialization RCE via model loading
CVE-2025-24357 nbgrader: Clickjacking exposes formgrader via IFrame
CVE-2025-23205 Gradio: ACL bypass via path case manipulation
CVE-2025-23042 Lobe Chat: pre-auth SSRF leaks OpenAI API keys
CVE-2024-32965 MLflow: local privilege escalation via spark_udf ToCToU
CVE-2024-27134 Transformers: RCE via Trax model deserialization
CVE-2024-11394 Transformers: RCE via MaskFormer model deserialization
CVE-2024-11393 HuggingFace Transformers: RCE via config deserialization
CVE-2024-11392 Intel Extension for Transformers: path traversal privesc
CVE-2024-21799 LightGBM: heap buffer overflow enables network RCE
CVE-2024-43598 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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