CVE-2023-32697 Overview
CVE-2023-32697 is a critical Remote Code Execution (RCE) vulnerability affecting SQLite JDBC, a widely-used library for accessing and creating SQLite database files in Java applications. The vulnerability allows attackers to achieve remote code execution by crafting malicious JDBC URLs. This flaw impacts versions 3.6.14.1 through 3.41.2.1 and has been addressed in version 3.41.2.2.
Critical Impact
Successful exploitation enables attackers to execute arbitrary code on systems running vulnerable versions of SQLite JDBC, potentially leading to complete system compromise, data theft, and lateral movement within affected environments.
Affected Products
- SQLite JDBC versions 3.6.14.1 through 3.41.2.1
- Java applications using vulnerable sqlite-jdbc library versions
- Systems accepting user-controlled JDBC connection URLs
Discovery Timeline
- May 23, 2023 - CVE-2023-32697 published to NVD
- November 21, 2024 - Last updated in NVD database
Technical Details for CVE-2023-32697
Vulnerability Analysis
This vulnerability (CWE-94: Improper Control of Generation of Code - Code Injection) resides in the SQLite JDBC library's handling of JDBC URLs. The flaw allows attackers to inject malicious code through specially crafted JDBC connection strings, which are then processed and executed by the Java application. The vulnerability is particularly dangerous because JDBC URLs are frequently constructed from user input in web applications and backend services.
The network-accessible nature of this vulnerability means no prior authentication is required, and exploitation does not require user interaction. An attacker can remotely target any application that processes JDBC URLs derived from untrusted input, making this vulnerability highly exploitable in web-facing applications and services that accept database connection parameters.
Root Cause
The root cause stems from improper control over code generation when processing JDBC URL parameters. The SQLite JDBC library fails to adequately sanitize or validate certain components of JDBC connection strings before processing them. This allows attackers to inject code that gets executed within the context of the Java application. The vulnerability represents a classic code injection pattern where untrusted input influences code execution paths without proper validation.
Attack Vector
The attack vector is network-based, requiring no authentication or user interaction. An attacker can exploit this vulnerability by providing a malicious JDBC URL to any application that accepts database connection strings from external sources. Common attack scenarios include:
The exploitation mechanism involves crafting a JDBC URL with embedded malicious payloads that the SQLite JDBC library processes as executable code. When the vulnerable application attempts to establish a database connection using the attacker-controlled URL, the injected code executes with the privileges of the Java application. This can occur in scenarios where applications dynamically construct database connections based on user input, configuration files, or external data sources.
For technical details regarding exploitation techniques, refer to the GitHub Security Advisory GHSA-6phf-6h5g-97j2.
Detection Methods for CVE-2023-32697
Indicators of Compromise
- Unusual JDBC connection strings containing unexpected characters or encoded payloads in application logs
- Suspicious process execution spawned from Java application processes
- Unexpected network connections originating from Java application servers
- Anomalous file system activity or modifications in application directories
Detection Strategies
- Monitor application logs for malformed or suspicious JDBC URL patterns being processed
- Implement runtime application self-protection (RASP) to detect code injection attempts
- Deploy network intrusion detection rules to identify exploitation traffic patterns
- Audit dependency manifests and software bills of materials (SBOMs) for vulnerable sqlite-jdbc versions
Monitoring Recommendations
- Enable verbose logging for database connection handling in Java applications
- Configure alerts for process creation events from Java runtime environments
- Monitor for unexpected outbound network connections from application servers
- Review application error logs for JDBC-related exceptions that may indicate exploitation attempts
How to Mitigate CVE-2023-32697
Immediate Actions Required
- Upgrade SQLite JDBC library to version 3.41.2.2 or later immediately
- Audit all applications using sqlite-jdbc for vulnerable versions
- Review application code for any instances where JDBC URLs are constructed from user input
- Implement input validation and sanitization for any user-controlled database connection parameters
Patch Information
The vulnerability has been fixed in SQLite JDBC version 3.41.2.2. Organizations should update their Maven, Gradle, or other dependency management configurations to use the patched version. The fix is available via the GitHub Release 3.41.2.2.
For Maven projects, update the dependency version:
<dependency>
<groupId>org.xerial</groupId>
<artifactId>sqlite-jdbc</artifactId>
<version>3.41.2.2</version>
</dependency>
Workarounds
- Restrict JDBC URL sources to trusted, hardcoded values only where possible
- Implement strict allowlist validation for any dynamic JDBC URL components
- Deploy Web Application Firewalls (WAF) with rules to detect malicious JDBC URL patterns
- Isolate applications using sqlite-jdbc in sandboxed environments with limited privileges
# Configuration example
# Verify sqlite-jdbc version in Maven dependencies
mvn dependency:tree | grep sqlite-jdbc
# Update to patched version in pom.xml and rebuild
mvn clean install
# Scan for vulnerable dependencies using OWASP Dependency-Check
mvn org.owasp:dependency-check-maven:check
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.


