DataEase up to 2.10.9 JDBC Connection sql injection

CVSS Meta Temp Score
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CTI Interest Score
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6.0$0-$5k0.00

Summaryinfo

A vulnerability identified as critical has been detected in DataEase up to 2.10.9. Impacted is an unknown function of the component JDBC Connection Handler. Performing a manipulation results in sql injection. This vulnerability is cataloged as CVE-2025-48998. It is possible to initiate the attack remotely. There is no exploit available. You should upgrade the affected component.

Detailsinfo

A vulnerability was found in DataEase up to 2.10.9. It has been classified as critical. This affects some unknown functionality of the component JDBC Connection Handler. The manipulation with an unknown input leads to a sql injection vulnerability. CWE is classifying the issue as CWE-89. The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. This is going to have an impact on confidentiality, integrity, and availability. The summary by CVE is:

DataEase is an open source business intelligence and data visualization tool. Prior to version 2.10.6, a bypass of the patch for CVE-2025-27103 allows authenticated users to read and deserialize arbitrary files through the background JDBC connection. The vulnerability has been fixed in v2.10.10. No known workarounds are available.

It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2025-48998 since 05/29/2025. The exploitability is told to be easy. It is possible to initiate the attack remotely. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1505 according to MITRE ATT&CK.

Upgrading to version 2.10.10 eliminates this vulnerability.

The vulnerability is also documented in the vulnerability database at EUVD (EUVD-2025-16761). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Name

Version

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CNA CVSS-B Score: 🔍
CNA CVSS-BT Score: 🔍
CNA Vector: 🔍

CVSSv3info

VulDB Meta Base Score: 6.3
VulDB Meta Temp Score: 6.0

VulDB Base Score: 6.3
VulDB Temp Score: 6.0
VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv2info

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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

Class: Sql injection
CWE: CWE-89 / CWE-74 / CWE-707
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

Price Prediction: 🔍
Current Price Estimation: 🔍

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔍

Upgrade: DataEase 2.10.10

Timelineinfo

05/29/2025 🔍
06/03/2025 +5 days 🔍
06/03/2025 +0 days 🔍
06/04/2025 +1 days 🔍

Sourcesinfo

Product: github.com

Advisory: GHSA-2wfc-qwx7-w692
Status: Confirmed

CVE: CVE-2025-48998 (🔍)
GCVE (CVE): GCVE-0-2025-48998
GCVE (VulDB): GCVE-100-311019
EUVD: 🔍

Entryinfo

Created: 06/03/2025 22:19
Updated: 06/04/2025 08:25
Changes: 06/03/2025 22:19 (67), 06/03/2025 23:12 (1), 06/04/2025 08:25 (1)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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