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 400 results — Medium severity, has patchxgrammar: unbounded grammar cache causes LLM server DoS
CVE-2025-32381 picklescan: bypass allows silent RCE in ML pipelines
GHSA-v7x6-rv5q-mhwc picklescan: numpy bypass enables RCE in ML model pipelines
GHSA-fj43-3qmq-673f PyTorch: lstm_cell memory corruption, local code exec
CVE-2025-3001 PyTorch: memory corruption in torch.jit.script compiler
CVE-2025-3000 PyTorch: memory corruption in RNN sequence unpacking
CVE-2025-2999 SageMaker SDK: MD5 collision silently replaces ML workflows
CVE-2025-0508 llama-index: DoS via infinite recursion in web reader
CVE-2024-12910 langchain-core: file read via prompt template inputs
CVE-2024-10940 picklescan: ZIP spoof lets malicious PyTorch models bypass scan
CVE-2025-1944 Ray: Redis password exposed via plaintext logging
CVE-2025-1979 picklescan: scanner bypass enables supply chain RCE
CVE-2025-1716 picklescan: extension bypass enables RCE on model load
CVE-2025-1889 Label Studio: reflected XSS via label_config param
CVE-2025-25296 Composio: command injection in AI agent tool calls
CVE-2024-53526 Giskard: ReDoS in text perturbation causes DoS
CVE-2024-52524 Gradio: Dropdown validation bypass enables arbitrary input
GHSA-26jh-r8g2-6fpr langchain-community: DoS via recursive sitemap loop
CVE-2024-2965 Label Studio: SSRF + file read, self-reg bypass
CVE-2022-36551 Jupyter Notebook: XSS via missing CSP on served files
CVE-2018-21030 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.
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