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 3021 resultspicklescan: scanner bypass enables RCE via ML models
GHSA-m869-42cg-3xwr picklescan: detection bypass allows pickle RCE in ML pipelines
GHSA-p9w7-82w4-7q8m picklescan: scanner bypass leads to undetected RCE
GHSA-xp4f-hrf8-rxw7 picklescan: scanner bypass enables PyTorch gadget RCE
GHSA-4whj-rm5r-c2v8 picklescan: scanner bypass enables RCE via model files
GHSA-9xph-j2h6-g47v picklescan: RCE bypass enables ML supply chain attack
GHSA-8r4j-24qv-fmq9 picklescan: security bypass enables RCE in ML pipelines
GHSA-cj3c-v495-4xqh picklescan: detection bypass allows malicious pickle RCE
GHSA-7cq8-mj8x-j263 picklescan: detection bypass allows RCE via ML model files
GHSA-6w4w-5w54-rjvr picklescan: RCE bypass via idlelib SetText evasion
GHSA-3vg9-h568-4w9m picklescan: scanner bypass enables RCE in ML models
GHSA-f54q-57x4-jg88 picklescan: scanner bypass enables RCE via ML models
GHSA-6vqj-c2q5-j97w picklescan: scan bypass allows RCE in ML pipelines
GHSA-x696-vm39-cp64 picklescan: scanner bypass enables RCE in ML pipelines
GHSA-g344-hcph-8vgg picklescan: bypass enables undetected RCE in ML models
GHSA-5qwp-399c-mjwf 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 picklescan: PyTorch gadget bypasses scanner, enables RCE
GHSA-vv6j-3g6g-2pvj 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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