AI Threat AlertAI 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 4307 resultsvLLM: ZeroMQ socket exposure enables DoS in multi-node
CVE-2025-30202transformers: ReDoS in GPT-NeoX Japanese tokenizer
CVE-2025-1194n8n: stored XSS enables account takeover
CVE-2025-46343PHPGurukul: session hijack via password change flow
CVE-2025-45949PHPGurukul Hostel Mgmt: session hijacking → takeover
CVE-2025-45953vLLM: RCE via malicious model, PyTorch < 2.6 bypass
GHSA-ggpf-24jw-3fcwPyTorch: RCE bypasses weights_only=True safe-load guard
CVE-2025-32434PyTorch: DoS via ctc_loss resource mishandling
CVE-2025-3730vLLM: DoS via unbounded XGrammar schema cache
GHSA-hf3c-wxg2-49q9jupyter-remote-desktop-proxy: VNC network exposure
CVE-2025-32428BentoML: RCE via insecure deserialization in runner
CVE-2025-32375xgrammar: unbounded grammar cache causes LLM server DoS
CVE-2025-32381picklescan: bypass allows silent RCE in ML pipelines
GHSA-v7x6-rv5q-mhwcpicklescan: numpy bypass enables RCE in ML model pipelines
GHSA-fj43-3qmq-673fpicklescan: scanner bypass enables DNS data exfiltration
CVE-2025-46417Langflow: Unauth RCE via code injection endpoint
CVE-2025-3248BentoML: unauthenticated RCE via insecure deserialization
CVE-2025-27520jupyterlab-git: command injection via malicious repo name
CVE-2025-30370PyTorch: memory corruption in CUDA caching allocator
CVE-2025-3136PyTorch: memory corruption in JIT flatbuffer loader
CVE-2025-3121Frequently 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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