CVE-2025-27103 Overview
DataEase is an open source business intelligence and data visualization platform. CVE-2025-27103 affects versions prior to 2.10.6 and represents a bypass of the patch for CVE-2024-55953. Authenticated users can read and deserialize arbitrary files through the background JDBC connection component. Successful exploitation enables attackers to compromise confidentiality and integrity of the affected server. The DataEase maintainers addressed the issue in version 2.10.6, and no workarounds are available. The vulnerability is tracked under CWE-89 and NVD-CWE-noinfo.
Critical Impact
Authenticated attackers can read arbitrary files and trigger unsafe deserialization via crafted JDBC connection parameters, leading to potential remote code execution.
Affected Products
- DataEase versions prior to 2.10.6
- DataEase open source business intelligence platform
- Deployments exposing the background JDBC connection interface to authenticated users
Discovery Timeline
- 2025-03-13 - CVE-2025-27103 published to NVD
- 2026-06-17 - Last updated in NVD database
Technical Details for CVE-2025-27103
Vulnerability Analysis
CVE-2025-27103 is a patch bypass affecting DataEase's JDBC connection handling. The original fix for CVE-2024-55953 restricted the parameters an authenticated user could supply when configuring a data source. Attackers found alternative parameter combinations that circumvent those restrictions. The bypass allows the JDBC driver layer to read arbitrary local files and deserialize attacker-controlled data during connection establishment.
This class of vulnerability is common in Java database connectivity libraries. Certain drivers accept properties that reference local file paths or trigger object deserialization when the connection is opened. When applications fail to constrain JDBC URLs and driver properties, authenticated users obtain a path to sensitive file disclosure and, through deserialization, arbitrary code execution.
Root Cause
The root cause is insufficient validation of JDBC connection parameters supplied through the DataEase backend. The prior patch for CVE-2024-55953 blocked known dangerous parameter names but did not enforce an allowlist. Attackers reintroduced deserialization and file-read behavior by supplying parameter variants that evaded the denylist.
Attack Vector
An attacker authenticated to DataEase submits a crafted data source configuration through the background JDBC connection interface. The request contains driver properties or URL fragments that instruct the JDBC driver to read a local file or deserialize an attacker-controlled stream. When DataEase opens the connection for validation, the malicious properties execute in the server process context. The technical advisory is available in the DataEase GitHub Security Advisory GHSA-v4gg-8rp3-ccjx.
No verified proof-of-concept code is published. Refer to the vendor advisory for technical details.
Detection Methods for CVE-2025-27103
Indicators of Compromise
- Unexpected data source creation or modification events initiated by low-privilege DataEase accounts.
- JDBC connection strings containing references to local file paths, queryInterceptors, autoDeserialize, allowLoadLocalInfile, or similar properties often abused in JDBC attacks.
- DataEase process reading files outside its normal working directories, such as /etc/passwd, SSH keys, or configuration secrets.
- Outbound network connections from the DataEase host to attacker-controlled database servers on non-standard ports.
Detection Strategies
- Inspect DataEase audit logs for data source add and test-connection actions, correlating actor, timestamp, and submitted JDBC URL.
- Alert on JDBC connection parameters containing deserialization-related properties or file:// and jar:// scheme references.
- Monitor for Java runtime deserialization exceptions in DataEase application logs, which can indicate exploitation attempts.
Monitoring Recommendations
- Baseline expected JDBC drivers, hosts, and ports used by production data sources, and alert on deviations.
- Enable authentication logging and track privilege changes for DataEase accounts capable of managing data sources.
- Forward DataEase logs to a centralized SIEM or data lake for correlation with process and network telemetry from the underlying host.
How to Mitigate CVE-2025-27103
Immediate Actions Required
- Upgrade all DataEase deployments to version 2.10.6 or later, which contains the fix.
- Rotate credentials, API keys, and secrets that may have been readable from the DataEase host filesystem.
- Audit existing data source configurations for unexpected JDBC URLs or driver properties, and remove suspicious entries.
- Restrict which user roles can create or modify data source connections until patching is complete.
Patch Information
The DataEase project fixed CVE-2025-27103 in version 2.10.6. Details, affected commits, and remediation guidance are published in the DataEase GitHub Security Advisory GHSA-v4gg-8rp3-ccjx. Administrators should validate the upgrade in a staging environment and confirm the running version after deployment.
Workarounds
- No official workarounds are available per the vendor advisory; upgrading to 2.10.6 is required.
- As a compensating control, place DataEase behind a reverse proxy that restricts access to the data source management endpoints to trusted administrators.
- Isolate the DataEase server at the network layer so it cannot reach untrusted internal file shares or the public internet unless explicitly required.
# Verify the installed DataEase version after upgrade
curl -s https://dataease.example.com/api/system/version
# Example Docker upgrade path
docker pull dataease/dataease:v2.10.6
docker stop dataease && docker rm dataease
docker run -d --name dataease -p 8100:8100 dataease/dataease:v2.10.6
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.