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 859 results — High severity, no patchMerlin Transformers4Rec: code injection via Python dep
CVE-2025-23298 Keras: safe mode bypass enables RCE via model load
CVE-2025-8747 WP Contest Gallery: Stored XSS exposes OpenAI API creds
CVE-2025-7725 lollms: timing attack enables credential enumeration
CVE-2025-6386 Transformers: ReDoS in chat.py causes CPU exhaustion
CVE-2025-3262 Langchain-Chatchat: path traversal exposes system files
CVE-2025-6855 libssh: OOB read in SFTP handle leaks memory
CVE-2025-5318 Hive Support WP: OpenAI key theft + prompt hijack
CVE-2025-5018 Gradio: unauthenticated file copy enables disk DoS
CVE-2025-48889 vLLM: image hash collision enables multimodal cache leakage
CVE-2025-46722 llama-index-cli: OS command injection enables RCE
CVE-2025-1753 label-studio-ml: PyTorch .pt deserialization RCE in YOLO loader
CVE-2025-5173 transformers: ReDoS in testing_utils causes DoS
CVE-2025-2099 TensorFlow Serving: JSON recursion DoS on inference API
CVE-2025-0649 vLLM: pickle RCE in multi-node inference deployments
CVE-2025-30165 vLLM: DoS via quadratic multimodal tokenizer input
CVE-2025-46560 vLLM: ZeroMQ socket exposure enables DoS in multi-node
CVE-2025-30202 Mesop: class pollution enables DoS and LLM jailbreak
CVE-2025-30358 LiteLLM: Langfuse API key leak via error handling
CVE-2025-0330 open-webui: DoS via unauthenticated multipart parsing
GHSA-5ccf-884p-4jjq 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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