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 2876 results — no patchLangflow: code injection allows authenticated RCE
CVE-2026-110309Langflow: improper authentication exposes sensitive data
CVE-2026-110245Langflow: path traversal exposes sensitive files
CVE-2026-110244Langflow: cleartext credential storage exposes secrets
CVE-2026-110200Langflow: authz bypass enables RCE via code component
CVE-2026-110196Langflow: code injection in Agentic Assistant allows RCE
CVE-2026-110193Langflow: weak credential protection exposes secrets
CVE-2026-110192Langflow: path traversal allows arbitrary file read
CVE-2026-110190Langflow: code injection allows unauthenticated RCE
CVE-2026-110186Langflow: 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: OS command injection allows remote RCE
CVE-2026-104339Langflow: SSRF allows authenticated internal requests
CVE-2026-104331Langflow OSS: OS command injection allows authenticated RCE
CVE-2026-104328Langflow: unsafe deserialization allows authenticated RCE
CVE-2026-104324Langflow: unsafe deserialization enables RCE via broker
CVE-2026-104317Langflow: missing authz lets users cancel others' jobs
CVE-2026-104316Langflow: SSRF allows authenticated internal network probing
CVE-2026-104315Frequently 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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