CVE-2025-53004 Overview
DataEase is an open source business intelligence and data visualization tool that enables organizations to analyze and visualize their data. A bypass vulnerability exists in DataEase's Redshift Data Source JDBC Connection Parameters prior to version 2.10.11. The sslfactory and sslfactoryarg parameters can be manipulated to trigger a security bypass, potentially allowing attackers to circumvent authentication or security controls when establishing database connections.
Critical Impact
Attackers can exploit the JDBC connection parameter bypass to potentially gain unauthorized access to Redshift data sources, compromise data integrity, and affect system availability through manipulated SSL factory configurations.
Affected Products
- DataEase versions prior to 2.10.11
- DataEase Redshift Data Source integration component
- Self-hosted and cloud-deployed DataEase installations using Redshift connectors
Discovery Timeline
- 2025-06-30 - CVE CVE-2025-53004 published to NVD
- 2025-07-10 - Last updated in NVD database
Technical Details for CVE-2025-53004
Vulnerability Analysis
This vulnerability falls under CWE-153 (Improper Neutralization of Input During Transmission), indicating that user-supplied JDBC connection parameters are not properly sanitized before being processed. The vulnerability specifically targets the Redshift data source connector's SSL/TLS configuration mechanism.
When users configure a Redshift data source connection in DataEase, the application accepts various JDBC connection parameters including sslfactory and sslfactoryarg. These parameters are intended to specify custom SSL socket factory classes for secure connections. However, due to insufficient input validation, an attacker can inject malicious values that bypass the intended security controls.
The network-accessible nature of this vulnerability means that remote attackers without authentication can potentially exploit it, making it particularly concerning for internet-exposed DataEase deployments.
Root Cause
The root cause of CVE-2025-53004 is improper neutralization of JDBC connection parameters during data source configuration. The DataEase application fails to adequately validate and sanitize the sslfactory and sslfactoryarg parameters before incorporating them into the JDBC connection string. This allows attackers to specify arbitrary class references or arguments that can be loaded and executed by the Java runtime during connection establishment.
Attack Vector
The attack is conducted over the network by an unauthenticated attacker who can access the DataEase data source configuration interface. The exploitation flow involves:
- Accessing the Redshift data source configuration functionality
- Injecting malicious values into the sslfactory parameter pointing to an attacker-controlled or exploitable class
- Supplying crafted sslfactoryarg values to pass malicious arguments to the factory class
- Triggering the connection attempt which loads and instantiates the specified class
The vulnerability exploits the trust that JDBC drivers place in factory class parameters, which are typically expected to come from trusted configuration sources. By manipulating these parameters, attackers can bypass SSL certificate validation, inject custom code execution paths, or establish unauthorized connections.
For detailed technical information about the exploitation mechanism, refer to the GitHub Security Advisory GHSA-mfg2-qr5c-99pp.
Detection Methods for CVE-2025-53004
Indicators of Compromise
- Unusual Redshift data source configurations containing non-standard sslfactory class references
- Connection attempts with suspicious sslfactoryarg parameter values
- Unexpected class loading activity in DataEase Java processes
- Failed or anomalous SSL handshake patterns in Redshift connection logs
Detection Strategies
- Monitor DataEase configuration changes, specifically for Redshift data source additions or modifications
- Implement log analysis rules to detect JDBC connection strings containing sslfactory or sslfactoryarg parameters with unexpected values
- Deploy application-layer firewalls to inspect and filter malicious JDBC parameter patterns
- Use endpoint detection to identify unusual Java class loading behavior in DataEase processes
Monitoring Recommendations
- Enable detailed audit logging for all data source configuration changes in DataEase
- Configure alerts for any new Redshift data source connections from unexpected network segments
- Monitor for outbound connections from DataEase servers to unknown external endpoints
- Implement network segmentation monitoring between DataEase and Redshift infrastructure
How to Mitigate CVE-2025-53004
Immediate Actions Required
- Upgrade DataEase to version 2.10.11 or later immediately
- Audit existing Redshift data source configurations for suspicious sslfactory or sslfactoryarg values
- Restrict network access to DataEase data source configuration interfaces
- Review access logs for any unauthorized configuration changes prior to patching
Patch Information
The vulnerability has been addressed in DataEase version 2.10.11. Organizations should upgrade to this version or later to remediate the vulnerability. The patch implements proper input validation and sanitization for JDBC connection parameters, preventing the injection of malicious sslfactory and sslfactoryarg values.
Refer to the GitHub Security Advisory for official patch details and upgrade instructions.
Workarounds
- Implement network-level access controls to restrict who can access DataEase data source configuration
- Use a web application firewall (WAF) to filter requests containing suspicious JDBC parameter patterns
- Disable or remove Redshift data source functionality if not actively required
- Apply principle of least privilege to DataEase user accounts to limit configuration access
# Example: Network restriction using iptables to limit DataEase access
# Restrict DataEase admin interface to trusted management network only
iptables -A INPUT -p tcp --dport 8080 -s 10.0.0.0/24 -j ACCEPT
iptables -A INPUT -p tcp --dport 8080 -j DROP
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.


