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 533 results — Critical severityPraisonAI: fail-open auth exposes remote agent control API
CVE-2026-47396Shopper: RBAC bypass allows full admin takeover
CVE-2026-47744langroid: Prompt-to-SQL injection enables RCE on DB host
CVE-2026-25879Langflow: RCE via symlink traversal in archive extraction
CVE-2026-7524MLflow: auth bypass on artifact uploads enables RCE
CVE-2026-2651Boxlite: read-only bypass enables host code execution
CVE-2026-46695Twig: single-quote escape flaw in {% use %} allows RCE
CVE-2026-466339router: unauthenticated RCE exposes LLM API keys
CVE-2026-46339n8n: SSRF bypasses credential domain restrictions
GHSA-3875-8gcx-7v46guardrails-ai: malicious 0.10.1 enables host compromise
CVE-2026-45758GlassFish: authenticated RCE via admin console
CVE-2026-2586MLflow: cross-origin bypass enables RCE via AI agent
CVE-2026-2611mistralai 2.4.6: supply chain dropper executes on import
GHSA-wx9m-wx4f-4cmgChromaDB: pre-auth RCE via trust_remote_code injection
CVE-2026-45829deepseek-tui: prompt injection enables zero-approval RCE
CVE-2026-45311Crabbox: env-var allowlist leaks secrets to remote exec
CVE-2026-8634n8n: SQL injection via poisoned Source Control git repo
CVE-2026-44792n8n: XML node patch bypass enables host RCE
CVE-2026-44791n8n: prototype pollution in HTTP node enables RCE
CVE-2026-44789Flowise: auth RCE via NodeVM sandbox escape
GHSA-9rvc-vf7m-pgm2Frequently 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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