CVE-2026-85022 langgenius CVE debrief

Who should care

Organizations using langgenius dify 1.13.0 should review and verify their affected scope and inventory. This includes operators, platform administrators, vulnerability management teams, and security teams who need to assess the potential impact on their systems and implement necessary mitigations. Additionally, organizations should consider reviewing their system logs for suspicious activity and assessing the potential impact on sensitive data. IT managers and cybersecurity professionals responsible for maintaining and securing software applications should prioritize this vulnerability for review and potential remediation based on their risk assessment and asset management practices. The affected component is part of the WebApp Sign-In functionality, which may be a critical aspect of system security and user authentication processes. Therefore, a thorough review of system configurations, user privileges, and existing security controls is recommended to minimize potential risks associated with this vulnerability. Furthermore, organizations should ensure that their incident response plans are updated to address potential exploitation of this vulnerability, including procedures for containment, eradication, recovery, and post-incident activities. Collaboration with the vendor or developer for additional information or guidance on mitigating this vulnerability is also advisable. Lastly, organizations should consider implementing compensating controls and monitoring for suspicious activity while remediation is scheduled and verified, and track exceptions, retest remediated assets, and close the item only after evidence is documented. This may involve coordinating with internal stakeholders, such as IT operations, development teams, and management, to ensure a comprehensive approach to addressing this vulnerability. By taking these steps, organizations can effectively manage the risks associated with this vulnerability and maintain the security and integrity of their systems and data. The vulnerability's low CVSS score indicates a low severity level, but it is still important for organizations to take proactive measures to protect their systems and data. This includes

Technical summary

A cross-site scripting vulnerability was identified in langgenius dify 1.13.0, specifically in the WebApp Sign-In component. The vulnerability affects the function router.replace in the file web/app/(shareLayout)/webapp-signin/components/mail-and-password-auth.tsx. Manipulation of the argument redirect_url leads to cross-site scripting. The attack may be performed remotely. This vulnerability has a low CVSS score, indicating a low severity level. However, organizations should still review and verify their affected scope and inventory.

Defensive priority

Low-priority defensive review recommended due to limited details and low CVSS score.

Recommended defensive actions

• Review and verify affected scope and inventory for langgenius dify 1.13.0
• Implement compensating controls and monitor for suspicious activity
• Consider exception tracking for vulnerable component
• Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up
• Review the supplied official advisory or CVE record to validate affected scope, severity, and vendor guidance
• Plan vendor-supported updates or mitigations through normal change control where exposure is confirmed
• Check relevant monitoring, detection, and logs for exposed assets that need extra review

Evidence notes

Evidence is limited; primary official records indicate a cross-site scripting vulnerability in langgenius dify 1.13.0, specifically in the WebApp Sign-In component. Vendor contact attempt was unsuccessful. Further review of open-source components and dependency management is recommended to ensure no similar vulnerabilities exist. Defensive verification tasks should include reviewing system logs for suspicious activity and assessing the potential impact on sensitive data.

Sources and references

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.