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
Critical
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Latest AI Security Threats
Showing 20 of 648 results — Medium severity, no patchn8n: legacy node bypasses file path restrictions
CVE-2026-56352 jadx-gui: HTML injection in APK Summary tab leaks IP
CVE-2026-42447 TensorRT-LLM: reachable assertion crashes sampler thread
CVE-2026-47475 TensorRT-LLM: sin límite de asignación GPU permite DoS
CVE-2026-24271 OpenClaw: web search auth bypass enables restricted ops
CVE-2026-62198 OpenClaw: auth bypass in plugin install wrapper
CVE-2026-62193 HashNeRF: torch.load deserialization allows local RCE
CVE-2026-15531 n8n-workflow-builder: path traversal via filePath arg
CVE-2026-15521 PraisonAI: path traversal leaks files into LLM prompts
CVE-2026-60088 Drupal module CSRF flaw; unrelated to Ray ML framework
CVE-2026-15080 Log4j API: NaN/Infinity breaks JSON log serialization
CVE-2026-49844 Grafana: stored XSS via malicious TableNG field name
CVE-2026-8595 PraisonAI: IDOR lets members delete owner dependencies
CVE-2026-61441 PraisonAI: FastContext path traversal leaks host files
CVE-2026-61432 PraisonAI: path traversal leaks arbitrary files
CVE-2026-61431 PraisonAI: config.toml path traversal overwrites files
CVE-2026-60089 PraisonAI: injection filter bypass at HIGH threat level
CVE-2026-60086 n8n: stored XSS + phishing redirect in Form Node
CVE-2026-56354 GitHub CLI: command execution via malicious Codespace URI
CVE-2026-59831 SiYuan: broken access control leaks private note data
CVE-2026-59853 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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