DataEase up to 2.10.7 Backend JDBC link authentication spoofing

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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8.7$0-$5k0.00

Summaryinfo

A vulnerability was found in DataEase up to 2.10.7. It has been rated as critical. The impacted element is an unknown function of the component Backend JDBC link Handler. The manipulation leads to authentication spoofing. This vulnerability is referenced as CVE-2025-32966. Remote exploitation of the attack is possible. No exploit is available. Upgrading the affected component is advised.

Detailsinfo

A vulnerability was found in DataEase up to 2.10.7 and classified as critical. This issue affects an unknown function of the component Backend JDBC link Handler. The manipulation with an unknown input leads to a authentication spoofing vulnerability. Using CWE to declare the problem leads to CWE-290. This attack-focused weakness is caused by incorrectly implemented authentication schemes that are subject to spoofing attacks. Impacted is confidentiality, integrity, and availability. The summary by CVE is:

DataEase is an open-source BI tool alternative to Tableau. Prior to version 2.10.8, authenticated users can complete RCE through the backend JDBC link. This issue has been patched in version 2.10.8.

The advisory is shared at github.com. The identification of this vulnerability is CVE-2025-32966 since 04/14/2025. The exploitation is known to be difficult. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. Neither technical details nor an exploit are publicly available.

Upgrading to version 2.10.8 eliminates this vulnerability.

If you want to get the best quality for vulnerability data then you always have to consider VulDB.

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: 8.9
VulDB Meta Temp Score: 8.7

VulDB Base Score: 8.1
VulDB Temp Score: 7.7
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 9.8
NVD Vector: 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍

Exploitinginfo

Class: Authentication spoofing
CWE: CWE-290 / CWE-287
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Proof-of-Concept

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 2.10.8

Timelineinfo

04/14/2025 🔍
04/23/2025 +9 days 🔍
04/23/2025 +0 days 🔍
06/24/2025 +62 days 🔍

Sourcesinfo

Product: github.com

Advisory: GHSA-h7hj-4j78-cvc7
Status: Confirmed

CVE: CVE-2025-32966 (🔍)
GCVE (CVE): GCVE-0-2025-32966
GCVE (VulDB): GCVE-100-306005

Entryinfo

Created: 04/23/2025 21:27
Updated: 06/24/2025 22:33
Changes: 04/23/2025 21:27 (68), 06/24/2025 22:33 (14)
Complete: 🔍
Cache ID: 216::103

If you want to get the best quality for vulnerability data then you always have to consider VulDB.

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