CVE-2025-70829: Datart Information Disclosure Vulnerability

CVE-2025-70829 Overview

CVE-2025-70829 is an information exposure vulnerability affecting Datart v1.0.0-rc.3, an open-source data visualization and analytics platform. The vulnerability allows authenticated attackers to access sensitive data by exploiting a custom H2 JDBC connection string. This flaw stems from improper handling of database connection parameters, enabling malicious actors with valid credentials to extract confidential information from the underlying data sources.

Critical Impact

Authenticated attackers can leverage custom H2 JDBC connection strings to gain unauthorized access to sensitive data, potentially exposing confidential business intelligence, user information, or database credentials stored within the Datart platform.

Affected Products

• Datart v1.0.0-rc.3

Discovery Timeline

• 2026-02-17 - CVE CVE-2025-70829 published to NVD
• 2026-02-18 - Last updated in NVD database

Technical Details for CVE-2025-70829

Vulnerability Analysis

This vulnerability is classified as CWE-200 (Information Exposure), representing an instance where an application unintentionally reveals sensitive information to unauthorized parties. The flaw requires adjacent network access and low-privilege authentication, meaning an attacker must have valid credentials and be on the same network segment as the vulnerable Datart instance.

The vulnerability's impact is primarily on confidentiality, with the potential to expose highly sensitive data. The attack complexity is low, requiring no user interaction, which increases the practical exploitability of this flaw. Once exploited, attackers can extract data that should otherwise be protected by the application's access controls.

Root Cause

The root cause of CVE-2025-70829 lies in insufficient validation and sanitization of H2 JDBC connection strings within the Datart application. When users configure database connections, the application fails to properly restrict or validate the parameters passed in the JDBC connection string. This oversight allows authenticated users to craft malicious connection strings that can access file system resources, execute arbitrary SQL statements, or retrieve sensitive configuration data from the H2 database engine.

H2 databases support various connection modes and features that, when improperly exposed, can lead to information disclosure. The lack of proper input validation on connection string parameters enables attackers to manipulate the database connection behavior for unauthorized data access.

Attack Vector

The attack requires adjacent network access, meaning the attacker must be positioned on the same local network segment as the target Datart instance. The attacker must first obtain valid authentication credentials to the Datart platform—even low-privilege access is sufficient.

Once authenticated, the attacker can navigate to the data source configuration functionality and craft a custom H2 JDBC connection string with malicious parameters. These parameters can be designed to read local files, access internal database metadata, or retrieve sensitive configuration information that should not be accessible to regular users.

The attack flow involves creating or modifying a data source connection with specially crafted JDBC URL parameters. When Datart processes this connection, the H2 database driver executes the embedded commands, returning sensitive data to the attacker through query results or error messages.

Detection Methods for CVE-2025-70829

Indicators of Compromise

• Unusual H2 JDBC connection strings in data source configurations, particularly those containing file path references or non-standard parameters
• Unexpected database connection attempts from authenticated users to local file system paths
• Query logs showing attempts to access H2 database metadata or system tables
• Error logs containing file path information or database configuration details that shouldn't be visible to users

Detection Strategies

• Monitor and log all data source configuration changes, particularly JDBC connection string modifications
• Implement alerting for H2 connection strings that contain suspicious patterns such as INIT=, TRACE_LEVEL_FILE=, or file path references
• Review authentication logs for accounts accessing data source configuration features with unusual frequency
• Deploy application-layer monitoring to detect attempts to read local files through database connections

Monitoring Recommendations

• Enable verbose logging for the Datart application's database connection module
• Configure SIEM rules to alert on JDBC connection string patterns commonly associated with H2 exploitation techniques
• Regularly audit data source configurations for unauthorized or suspicious connection parameters
• Monitor network traffic for unusual data exfiltration patterns from the Datart application server

How to Mitigate CVE-2025-70829

Immediate Actions Required

• Restrict access to data source configuration features to only trusted administrators
• Review all existing H2 JDBC connection configurations for suspicious parameters
• Implement network segmentation to limit adjacent network access to the Datart instance
• Consider temporarily disabling H2 database connectivity if not critical to operations
• Audit user accounts with data source configuration privileges and revoke unnecessary access

Patch Information

As of the last NVD update on 2026-02-18, no official patch information has been published by the Datart project maintainers. Organizations should monitor the Datart GitHub repository for security updates and newer releases that address this vulnerability. A proof-of-concept demonstrating this vulnerability is available at the CVE-2025-70829 PoC repository.

Workarounds

• Implement a web application firewall (WAF) rule to block JDBC connection strings containing potentially dangerous H2 parameters
• Use database connection pooling with pre-configured, validated connection strings only
• Deploy the Datart instance in an isolated network segment with strict access controls
• Disable the custom data source connection feature if business requirements allow
• Implement additional authentication requirements for accessing data source configuration functionality

# Example network isolation configuration (iptables)
# Restrict access to Datart port to specific trusted IP ranges only
iptables -A INPUT -p tcp --dport 8080 -s 10.0.1.0/24 -j ACCEPT
iptables -A INPUT -p tcp --dport 8080 -j DROP