CVE-2026-55635 dataease CVE debrief

Who should care

Users of DataEase prior to version 2.10.24 should apply the patch to prevent SQL injection attacks. Administrators of systems using DataEase should ensure that the tool is updated to the latest version and monitor for suspicious activity. Operators and security teams should review the vulnerability and take necessary actions to protect their systems.

Technical summary

The vulnerability exists in the Quota2SQLObj.getYWheres() method of DataEase, an open-source data visualization and analysis tool, where attacker-controlled filter values are embedded directly into generated SQL without proper validation and escaping. This allows authenticated users to inject SQL into queries executed against configured datasources. The issue is fixed in version 2.10.24. Users should apply the patch to prevent SQL injection attacks. Affected product deployments should be reviewed for exposure, and compensating controls should be considered while remediation is scheduled and verified. Relevant monitoring, detection, and logs should be checked for exposed assets that need extra review.

Defensive priority

High

Recommended defensive actions

• Apply the patch to update DataEase to version 2.10.24 or later
• Monitor for suspicious activity and ensure that the tool is used in accordance with best practices
• Restrict access to chart definitions and data requests to authorized users only
• Review compensating controls for exposed systems while remediation is scheduled and verified
• Check relevant monitoring, detection, and logs for exposed assets that need extra review
• Track exceptions, retest remediated assets, and close the item only after evidence is documented
• Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up

Evidence notes

The CVE record was published on 2026-07-07T21:17:27.903Z and has not been modified since then. The NVD entry is currently being reviewed. Evidence limits suggest that defenders verify the patch application and monitor for suspicious activity. Additional verification tasks include reviewing system logs and ensuring that the tool is used in accordance with best practices.

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.