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 1564 results — no patchLLaMA-Factory: RCE via unsafe checkpoint deserialization
CVE-2025-53002 A flaw was found in the libssh library in versions less than 0.11.2. An out-of-bounds read can be triggered in the sftp_handle function due to an incorrect...
CVE-2025-5318 LangChain RequestsToolkit: SSRF exposes cloud metadata
CVE-2025-2828 Hive Support WP: OpenAI key theft + prompt hijack
CVE-2025-5018 vLLM: input validation DoS crashes inference worker
CVE-2025-48944 vLLM: ReDoS crashes inference server via malformed regex
CVE-2025-48943 vLLM: DoS via malformed JSON schema guided param
CVE-2025-48942 vLLM: ReDoS in tool parser causes service outage
CVE-2025-48887 Gradio: unauthenticated file copy enables disk DoS
CVE-2025-48889 vLLM: image hash collision enables multimodal cache leakage
CVE-2025-46722 vLLM: timing side-channel leaks prompt cache data
CVE-2025-46570 Gradio: CORS origin bypass in ML UI handler
CVE-2025-5320 llama-index-cli: OS command injection enables RCE
CVE-2025-1753 label-studio-ml: PyTorch .pt deserialization RCE in YOLO loader
CVE-2025-5173 vLLM: RCE via exposed TCPStore in distributed inference
CVE-2025-47277 transformers: ReDoS in testing_utils causes DoS
CVE-2025-2099 Ollama: DoS via malicious manifest in /api/pull
CVE-2025-1975 TensorFlow Serving: JSON recursion DoS on inference API
CVE-2025-0649 vLLM: pickle RCE in multi-node inference deployments
CVE-2025-30165 PyTorch NCCL: local DoS in distributed training reduce op
CVE-2025-4287 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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