CVE-2023-25158
CVE-2023-25158
Weakness (CWE)
CVSS Vector
v3.1- Attack Vector
- Network
- Attack Complexity
- Low
- Privileges Required
- None
- User Interaction
- None
- Scope
- Unchanged
- Confidentiality
- High
- Integrity
- High
- Availability
- High
Description
GeoTools is an open source Java library that provides tools for geospatial data. GeoTools includes support for OGC Filter expression language parsing, encoding and execution against a range of datastore. SQL Injection Vulnerabilities have been found when executing OGC Filters with JDBCDataStore implementations. Users are advised to upgrade to either version 27.4 or to 28.2 to resolve this issue. Users unable to upgrade may disable `encode functions` for PostGIS DataStores or enable `prepared statements` for JDBCDataStores as a partial mitigation.
Comprehensive Technical Analysis of CVE-2023-25158
1. Vulnerability Assessment and Severity Evaluation
CVE-2023-25158 pertains to a SQL Injection vulnerability in the GeoTools library, specifically when executing OGC Filters with JDBCDataStore implementations. The CVSS (Common Vulnerability Scoring System) score of 9.8 indicates a critical severity level. This high score is due to the potential for unauthorized access, data manipulation, and information disclosure, which can have severe impacts on the integrity, confidentiality, and availability of the affected systems.
2. Potential Attack Vectors and Exploitation Methods
The primary attack vector for this vulnerability is SQL Injection, which occurs when an attacker can manipulate SQL queries by injecting malicious code into input fields. In the context of GeoTools, this can happen when OGC Filters are executed against a JDBCDataStore. An attacker could craft specially designed OGC Filter expressions that, when parsed and executed, could alter the intended SQL queries, leading to unauthorized data access or manipulation.
Exploitation Methods:
- Direct SQL Injection: An attacker could inject SQL commands directly into the OGC Filter expressions.
- Blind SQL Injection: An attacker could use blind SQL injection techniques to extract information without direct feedback from the application.
- Error-Based SQL Injection: An attacker could exploit error messages returned by the database to gain information about the database structure.
3. Affected Systems and Software Versions
The vulnerability affects GeoTools versions prior to 27.4 and 28.2. Systems using these versions with JDBCDataStore implementations, particularly those interfacing with PostGIS DataStores, are at risk. Organizations using GeoTools for geospatial data processing and management should be particularly concerned.
4. Recommended Mitigation Strategies
Immediate Mitigation:
- Upgrade: The most effective mitigation is to upgrade to GeoTools version 27.4 or 28.2, which include patches for this vulnerability.
- Disable
encode functions: For PostGIS DataStores, disablingencode functionscan partially mitigate the risk. - Enable
prepared statements: For JDBCDataStores, enablingprepared statementscan help prevent SQL Injection by ensuring that SQL queries are parameterized.
Additional Mitigation:
- Input Validation: Implement robust input validation and sanitization for all user inputs.
- Least Privilege: Ensure that database accounts used by GeoTools have the minimum necessary privileges.
- Regular Audits: Conduct regular security audits and code reviews to identify and mitigate similar vulnerabilities.
5. Impact on Cybersecurity Landscape
The discovery of CVE-2023-25158 highlights the ongoing risk of SQL Injection vulnerabilities, even in well-established libraries like GeoTools. It underscores the importance of continuous monitoring, regular updates, and adherence to best practices in software development and deployment. The high CVSS score indicates the potential for significant damage if exploited, emphasizing the need for proactive security measures.
6. Technical Details for Security Professionals
Technical Context:
- GeoTools: An open-source Java library for geospatial data processing.
- OGC Filters: A standard for encoding spatial and non-spatial queries.
- JDBCDataStore: A data store implementation in GeoTools that uses JDBC for database connectivity.
Vulnerability Details:
- The vulnerability arises from improper handling of OGC Filter expressions, allowing SQL Injection when these expressions are executed against a JDBCDataStore.
- The flaw exists in the parsing and execution logic of OGC Filters, which does not adequately sanitize or parameterize inputs.
Patch Analysis:
- The patches in versions 27.4 and 28.2 address the vulnerability by ensuring that OGC Filter expressions are properly sanitized and parameterized before execution.
- The commit
64fb4c47f43ca818c2fe96a94651bff1b3b3ed2bprovides the specific changes made to mitigate the issue.
References:
Conclusion
CVE-2023-25158 represents a critical SQL Injection vulnerability in GeoTools that requires immediate attention. Organizations using affected versions should prioritize upgrading to patched versions or implementing the recommended mitigations to protect against potential exploitation. The incident serves as a reminder of the importance of secure coding practices and regular security assessments in maintaining a robust cybersecurity posture.