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 1579 results — no patchOpenClaw: shell flag bypass enables RCE in agent exec
CVE-2026-53806 Langflow: IDOR bypasses auth, exposes sensitive AI configs
CVE-2026-7787 Langflow: SSRF exposes internal ML infrastructure
CVE-2026-3341 Keras: path traversal allows arbitrary file write
CVE-2026-11816 vLLM: unauthenticated OOM DoS via video frame parsing
CVE-2026-5497 Boxlite: OCI symlink traversal enables host RCE
CVE-2026-46703 Xibo CMS: Stored XSS + iframe sandbox escape via DataSet
CVE-2026-42558 draw.io: stored XSS executes JS via crafted diagram file
CVE-2026-46642 Splunk: stored XSS hijacks dashboards via HTML panel
CVE-2026-20258 Linux Xe iGPU: cache-bypass leaks cross-process stale data
CVE-2026-46309 Flowise: mass-assignment allows cross-workspace takeover
CVE-2026-46480 Flowise: mass assignment cross-workspace takeover
CVE-2026-46479 Flowise: mass-assignment allows cross-workspace data takeover
CVE-2026-46478 Flowise: mass-assignment cross-workspace dataset takeover
CVE-2026-46477 Flowise: mass assignment enables cross-workspace takeover
CVE-2026-46476 Flowise: mass-assignment enables workspace takeover
CVE-2026-46475 Flowise: missing authz on vector store CRUD ops
CVE-2026-46444 Flowise: stored credentials exposed via API filter bug
CVE-2026-46443 Flowise: sandbox escape enables authenticated RCE
CVE-2026-46442 Flowise: mass assignment breaks multi-tenant isolation
CVE-2026-46441 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?
Get ATLAS technique mappings, compliance reports (ISO 42001, EU AI Act), breaking alerts, and full CISO analysis with a Pro subscription.
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