7.1
HIGH CVSS 4.0
CVE-2026-50124
DataEase: Remote Code Execution (RCE) via Zip Protocol & File Dropper
Description

DataEase is an open source data visualization and analysis tool. Prior to 2.10.23, DataEase can be exploited by uploading payload.zip through the Excel upload API /datasource/upload, creating an H2 datasource that uses the zip: protocol, and executing an SQL dataset path where CalciteProvider.jdbcFetchResultField calls statement.executeQuery(), causing precompiled Java aliases in test.mv.db to execute arbitrary code. This issue is fixed in version 2.10.23.

INFO

Published Date :

July 15, 2026, 8:17 p.m.

Last Modified :

July 15, 2026, 8:29 p.m.

Remotely Exploit :

Yes !
Affected Products

The following products are affected by CVE-2026-50124 vulnerability. Even if cvefeed.io is aware of the exact versions of the products that are affected, the information is not represented in the table below.

No affected product recoded yet

CVSS Scores
The Common Vulnerability Scoring System is a standardized framework for assessing the severity of vulnerabilities in software and systems. We collect and displays CVSS scores from various sources for each CVE.
Score Version Severity Vector Exploitability Score Impact Score Source
CVSS 4.0 HIGH [email protected]
Solution
Update DataEase to version 2.10.23 or later to fix arbitrary code execution vulnerability.
  • Update DataEase to version 2.10.23.
  • Apply vendor patches if available.
References to Advisories, Solutions, and Tools
CWE - Common Weakness Enumeration

While CVE identifies specific instances of vulnerabilities, CWE categorizes the common flaws or weaknesses that can lead to vulnerabilities. CVE-2026-50124 is associated with the following CWEs:

Common Attack Pattern Enumeration and Classification (CAPEC)

Common Attack Pattern Enumeration and Classification (CAPEC) stores attack patterns, which are descriptions of the common attributes and approaches employed by adversaries to exploit the CVE-2026-50124 weaknesses.

We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).

Results are limited to the first 15 repositories due to potential performance issues.

The following list is the news that have been mention CVE-2026-50124 vulnerability anywhere in the article.

The following table lists the changes that have been made to the CVE-2026-50124 vulnerability over time.

Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.

  • New CVE Received by [email protected]

    Jul. 15, 2026

    Action Type Old Value New Value
    Added Affected [{'vendor': 'dataease', 'product': 'dataease', 'versions': [{'status': 'affected', 'version': '< 2.10.23'}]}]
    Added Description DataEase is an open source data visualization and analysis tool. Prior to 2.10.23, DataEase can be exploited by uploading payload.zip through the Excel upload API /datasource/upload, creating an H2 datasource that uses the zip: protocol, and executing an SQL dataset path where CalciteProvider.jdbcFetchResultField calls statement.executeQuery(), causing precompiled Java aliases in test.mv.db to execute arbitrary code. This issue is fixed in version 2.10.23.
    Added CVSS V4.0 AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:N/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
    Added CWE CWE-434
    Added Reference https://github.com/dataease/dataease/commit/304104d70e27a97f8909981f56209edc117dc285
    Added Reference https://github.com/dataease/dataease/commit/a7bffa795cb0ca041dce0effe68479cf3bf13db1
    Added Reference https://github.com/dataease/dataease/releases/tag/v2.10.23
    Added Reference https://github.com/dataease/dataease/security/advisories/GHSA-cjmg-jqmc-xj5v
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days. Following chart shows the EPSS score history of the vulnerability.