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 1033 results — High severity CVE-2025-3262 Transformers: ReDoS in chat.py causes CPU exhaustion 7.5 0.4% transformers Jul 7 HIGH E CVE-2025-6855 Langchain-Chatchat: path traversal exposes system files 8.8 0.6% langchain-chatchat Jun 29 HIGH CVE-2025-5318 A flaw was found in the libssh library in... 8.1 2.4% rhaiis/vllm-cuda-rhel9 Jun 24 HIGH CVE-2025-5018 Hive Support WP: OpenAI key theft + prompt hijack 7.1 0.3% — Jun 6 HIGH E CVE-2025-30167 jupyter_core: config hijack enables cross-user code exec 7.3 0.2% jupyter_core Jun 4 HIGH E CVE-2025-48889 Gradio: unauthenticated file copy enables disk DoS 7.5 0.6% gradio May 30 HIGH CVE-2025-46722 vLLM: image hash collision enables multimodal cache leakage 7.3 0.3% vllm May 29 HIGH E CVE-2025-1753 llama-index-cli: OS command injection enables RCE 7.8 1.0% llama-index May 28 HIGH CVE-2025-5173 label-studio-ml: PyTorch .pt deserialization RCE in YOLO loader 7.8 0.2% label-studio-ml May 26 HIGH E CVE-2025-2099 transformers: ReDoS in testing_utils causes DoS 7.5 0.5% transformers May 19 HIGH E CVE-2025-47783 Label Studio: XSS enables unauthorized actions via CSRF — 0.5% label-studio May 15 HIGH E CVE-2025-1752 llama_index: DoS via uncapped recursion in web reader 7.5 0.4% llama-index May 10 HIGH CVE-2025-0649 TensorFlow Serving: JSON recursion DoS on inference API 7.5 0.2% tensorflow_serving May 6 HIGH CVE-2025-30165 vLLM: pickle RCE in multi-node inference deployments 8.0 0.5% vllm May 6 HIGH E CVE-2025-46567 LLaMA-Factory: RCE via torch.load() unsafe deserialization 7.8 0.2% llamafactory May 1 HIGH E CVE-2025-46560 vLLM: DoS via quadratic multimodal tokenizer input 7.5 0.4% vllm Apr 30 HIGH E CVE-2025-30202 vLLM: ZeroMQ socket exposure enables DoS in multi-node 7.5 0.5% vllm Apr 30 HIGH E CVE-2025-46417 picklescan: scanner bypass enables DNS data exfiltration — 0.2% picklescan Apr 7 HIGH E CVE-2025-30370 jupyterlab-git: command injection via malicious repo name 7.4 0.5% jupyterlab-git Apr 4 HIGH CVE-2025-30358 Mesop: class pollution enables DoS and LLM jailbreak 8.1 0.6% — Mar 27 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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