CVE-2022-39312

Dataease is an open source data visualization analysis tool. Dataease prior to 1.15.2 has a deserialization vulnerability. In Dataease, the Mysql data source in the data source function can customize the JDBC connection parameters and the Mysql server target to be connected. In `backend/src/main/java/io/dataease/provider/datasource/JdbcProvider.java`, the `MysqlConfiguration` class does not filter any parameters. If an attacker adds some parameters to a JDBC url and connects to a malicious mysql server, the attacker can trigger the mysql jdbc deserialization vulnerability. Through the deserialization vulnerability, the attacker can execute system commands and obtain server privileges. Version 1.15.2 contains a patch for this issue.
Configurations

Configuration 1 (hide)

cpe:2.3:a:dataease:dataease:*:*:*:*:*:*:*:*

History

21 Nov 2024, 07:18

Type Values Removed Values Added
References () https://github.com/dataease/dataease/commit/956ee2d6c9e81349a60aef435efc046888e10a6d - Patch, Third Party Advisory () https://github.com/dataease/dataease/commit/956ee2d6c9e81349a60aef435efc046888e10a6d - Patch, Third Party Advisory
References () https://github.com/dataease/dataease/pull/3328 - Patch, Third Party Advisory () https://github.com/dataease/dataease/pull/3328 - Patch, Third Party Advisory
References () https://github.com/dataease/dataease/releases/tag/v1.15.2 - Release Notes, Third Party Advisory () https://github.com/dataease/dataease/releases/tag/v1.15.2 - Release Notes, Third Party Advisory
References () https://github.com/dataease/dataease/security/advisories/GHSA-q4qq-jhjv-7rh2 - Exploit, Third Party Advisory () https://github.com/dataease/dataease/security/advisories/GHSA-q4qq-jhjv-7rh2 - Exploit, Third Party Advisory

Information

Published : 2022-10-25 17:15

Updated : 2024-11-21 07:18


NVD link : CVE-2022-39312

Mitre link : CVE-2022-39312

CVE.ORG link : CVE-2022-39312


JSON object : View

Products Affected

dataease

  • dataease
CWE
CWE-20

Improper Input Validation

CWE-502

Deserialization of Untrusted Data