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 1074 results — Active exploitationHuggingFace Transformers: ReDoS in MarianTokenizer
CVE-2025-6638 Picklescan: CRC bypass hides malicious pickle in ZIP
CVE-2025-10156 PickleScan: subclass bypass enables malicious model RCE
CVE-2025-10157 MONAI: unsafe pickle deserialization RCE in data pipeline
CVE-2025-58757 MONAI: unsafe deserialization in CheckpointLoader allows RCE
CVE-2025-58756 MONAI: path traversal allows arbitrary file write
CVE-2025-58755 n8n: unrestricted file upload RCE via Chat Trigger
CVE-2025-56265 xgrammar: DoS via oversized JSON schema grammar parsing
CVE-2025-58446 EverNoteLoader: XXE exposes host files in LangChain
CVE-2025-6984 n8n-workflows: path traversal in download_workflow endpoint
CVE-2025-55526 llama-index: JSON parsing DoS via deep recursion
CVE-2025-5302 xgrammar: uncontrolled recursion in grammar parsing causes DoS
CVE-2025-57809 Langflow: privilege escalation to full superuser via CLI
CVE-2025-57760 vLLM: unauthenticated DoS via oversized HTTP header
CVE-2025-48956 Keras: safe mode bypass enables RCE via model load
CVE-2025-8747 skops: joblib fallback enables RCE via model load
CVE-2025-54886 ExecuTorch: integer overflow enables RCE via model loading
CVE-2025-54952 ExecuTorch: OOB read in model loader enables RCE
CVE-2025-54950 Azure OpenAI: SSRF EoP, no auth required (CVSS 10)
CVE-2025-53767 Ollama: arbitrary file deletion via /api/pull
CVE-2025-44779 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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