AI Threat Alert
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 307 results — Medium severity, has patchsagemaker: security flaw enables exploitation
CVE-2026-1778 picklescan: Deserialization enables RCE
GHSA-m7j5-r2p5-c39r llama-index-core: DoS causes service disruption
CVE-2025-6208 chainlit: IDOR enables unauthorized data access
CVE-2025-68492 monai: Path Traversal enables file access
CVE-2026-21851 picklescan: Code Injection enables RCE
GHSA-6556-fwc2-fg2p picklescan: Code Injection enables RCE
GHSA-cffc-mxrf-mhh4 local-deep-research: SSRF allows internal network access
CVE-2025-67743 Keras: safe_mode bypass enables file read and SSRF
CVE-2025-12058 vllm: DoS via Jinja template injection in chat API
CVE-2025-61620 clearml: path traversal in safe_extract → RCE risk
CVE-2025-8917 xgrammar: DoS via oversized JSON schema grammar parsing
CVE-2025-58446 picklescan: scanner bypass enables model RCE
GHSA-q77w-mwjj-7mqx picklescan: scanner bypass enables RCE via ML model files
GHSA-49gj-c84q-6qm9 picklescan: scan bypass allows silent RCE via ML models
GHSA-9w88-8rmg-7g2p picklescan: detection bypass allows undetected RCE in ML models
GHSA-fqq6-7vqf-w3fg picklescan: scanner bypass enables pickle RCE in ML models
GHSA-3gf5-cxq9-w223 picklescan: scanner bypass allows pickle-based RCE
GHSA-j343-8v2j-ff7w picklescan: scanner bypass enables RCE via ML models
GHSA-m869-42cg-3xwr picklescan: detection bypass allows pickle RCE in ML pipelines
GHSA-p9w7-82w4-7q8m 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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