CVE-2026-49867 dataease CVE debrief

Who should care

Users of DataEase versions prior to 2.10.23 should apply the patch to prevent exploitation of this stored cross-site scripting vulnerability. This includes operators, administrators, and security teams responsible for managing and securing DataEase deployments.

Technical summary

The vulnerability exists in the handling of template static resources in DataEase, specifically in the StaticResourceServer.saveFilesToServe and StaticResourceServer.saveSingleFileToServe methods. These methods do not properly validate user-submitted .svg files, allowing for the injection of malicious scripts. This can lead to stored cross-site scripting attacks when a victim loads the compromised resource. The vulnerability is fixed in version 2.10.23.

Defensive priority

Medium

Recommended defensive actions

• Apply the patch by upgrading to DataEase version 2.10.23 or later
• Restrict access to the /de2api/templateManage/save and DataVisualizationServer.decompression endpoints to trusted users
• Implement additional security measures, such as validating user-submitted file types and contents
• 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 2026-07-15T20:17:12.943Z and was last modified on 2026-07-18T02:17:09.423Z. The NVD entry is currently Deferred. There is limited information available about the vulnerability, and defenders should verify the affected scope and severity with the vendor. The vulnerability exists in DataEase, an open-source data visualization and analysis tool, and is related to the handling of template static resources.

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.