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 1908 results — High severityn8n: RCE via deprecated nodes bypassing task runner
CVE-2026-119408Langflow: code injection allows authenticated RCE
CVE-2026-110309Langflow: improper authentication exposes sensitive data
CVE-2026-110245Langflow: authz bypass enables RCE via code component
CVE-2026-110196Langflow: code injection in Agentic Assistant allows RCE
CVE-2026-110193Langflow: code injection allows authenticated RCE
CVE-2026-107329Langflow: code injection via eval/exec allows authenticated RCE
CVE-2026-107328Langflow: missing authorization allows authenticated RCE
CVE-2026-107327Langflow: OS command injection allows authenticated RCE
CVE-2026-107326Langflow OSS: OS command injection allows authenticated RCE
CVE-2026-104328Langflow: unsafe deserialization allows authenticated RCE
CVE-2026-104324Langflow: SQL injection via broken access control
CVE-2026-103092Langflow: SSRF allows authenticated info disclosure
CVE-2026-102590Langflow: code injection allows authenticated RCE
CVE-2026-101288Mapster WP Maps: unauth REST route enables stored XSS
CVE-2026-107743LangGraph API: Store namespace rewrite bypass in JS auth
CVE-2026-118668MONAI: RCE via malicious bundle logging.conf
CVE-2026-118683n8n: SSRF in Slack Trigger leaks Slack workspace tokens
CVE-2026-118679n8n: prototype pollution via workflow keys causes DoS
CVE-2026-118678n8n: credential permission bypass leaks secrets
CVE-2026-118676Frequently 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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