CVE-2026-72767
Overview
CVE-2026-72767 is a known-severity vulnerability. It was published on August 11, 2026.
Technical Description
n8n before 1.123.67, 2.x before 2.31.5, and 2.32.x before 2.32.1 contain a remote code execution vulnerability in the Git node. Authenticated users with rights to create and execute workflows can stage a crafted local repository that causes git to run hooks under default git security settings, executing arbitrary commands as the n8n process user. Both self-hosted and cloud instances are affected.
Remediation
Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
Frequently Asked Questions
What is CVE-2026-72767?
CVE-2026-72767 is a known-severity vulnerability. It was published on August 11, 2026.
How severe is CVE-2026-72767?
CVSS score information is not yet available for this vulnerability. Check back as the CVE record is updated by NVD analysts.
How do I fix or remediate CVE-2026-72767?
Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
How can CyberStrike help with CVE-2026-72767?
CyberStrike's AI-powered security agents can automatically detect CVE-2026-72767 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.
How CyberStrike Helps
AI agents map your attack surface to find vulnerabilities like this one.
Automated penetration testing that runs continuously, not just quarterly.
AI-driven PR review catches vulnerable dependencies before they ship.
Browser-based exploitation validates findings with real proof-of-concept.