CVE-2026-77075
Overview
CVE-2026-77075 is a known-severity vulnerability. It was published on August 20, 2026.
Technical Description
n8n before 1.123.69, 2.x before 2.33.4, and 2.34.x before 2.34.1 contain an expression injection vulnerability in resource-locator field link preview rendering. The editor spliced the field's stored value directly into the node type's URL template without checking for expression syntax. An authenticated member can store a malicious value so that when another user opens the affected node in the editor, the injected expression is evaluated as JavaScript in the victim's authenticated session (cross-user script execution).
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-2026-77075?
CVE-2026-77075 is a known-severity vulnerability. It was published on August 20, 2026.
How severe is CVE-2026-77075?
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-2026-77075?
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-2026-77075?
CyberStrike's AI-powered security agents can automatically detect CVE-2026-77075 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.