This article addresses a critical security vulnerability, CVE-2025-1094, affecting PostgreSQL database systems. This SQL injection flaw within the libpq
functions poses a significant risk, potentially allowing attackers to execute unauthorized commands, manipulate sensitive data, and compromise the overall integrity of the database. This article aims to provide security professionals with a comprehensive understanding of the vulnerability, its potential impact, and the necessary steps to mitigate the risk effectively. We will cover affected versions, technical details, and remediation strategies, empowering you to protect your PostgreSQL deployments from exploitation.
PostgreSQL, often simply "Postgres," is a powerful, open-source object-relational database system renowned for its reliability, feature robustness, and standards compliance. It supports a wide range of data types, advanced indexing techniques, and transactional integrity features, making it suitable for various applications, from small-scale projects to large-scale enterprise deployments. PostgreSQL is highly extensible, allowing users to define custom functions, data types, and operators. Its commitment to open standards and active community support contribute to its widespread adoption across diverse industries.
CVE ID: CVE-2025-1094
Description: SQL injection vulnerability in PostgreSQL libpq
functions and command-line utilities.
CVSS Score: 8.1 (High)
CVSS Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H
CVE-2025-1094 highlights a critical SQL injection vulnerability within PostgreSQL. The flaw lies in the libpq
functions, specifically PQescapeLiteral()
, PQescapeIdentifier()
, PQescapeString()
, and PQescapeStringConn()
. These functions, when used to construct input for psql
(PostgreSQL interactive terminal) in specific usage patterns, fail to properly neutralize quoting syntax, allowing an attacker to inject malicious SQL commands. Additionally, a similar vulnerability exists in PostgreSQL command-line utilities when the client encoding is set to BIG5 and the server encoding is either EUC_TW or MULE_INTERNAL. This improper neutralization can lead to unauthorized database access and manipulation.
The exploitation of CVE-2025-1094 can have severe consequences for PostgreSQL database systems. An attacker who successfully exploits this vulnerability could gain the ability to execute unauthorized SQL commands within the database. This opens the door to a range of malicious activities, including the ability to manipulate or retrieve sensitive database information, potentially leading to data breaches. Furthermore, successful exploitation could allow an attacker to gain unauthorized access to the database system itself, potentially escalating privileges within the environment. This could compromise the integrity and confidentiality of database operations, leading to significant financial, reputational, and operational damage. The impact underscores the importance of promptly addressing this vulnerability to protect sensitive data and ensure the continued secure operation of PostgreSQL deployments.
The following PostgreSQL versions are affected by CVE-2025-1094:
Product
|
Version(s) Affected
|
---|---|
PostgreSQL
|
< 13.19
|
PostgreSQL
|
< 14.16
|
PostgreSQL
|
< 15.11
|
PostgreSQL
|
< 16.7
|
PostgreSQL
|
< 17.3
|
It is crucial to note that all versions prior to the listed fixed versions are vulnerable. Organizations using PostgreSQL should verify their current version and upgrade accordingly.
Several methods can be used to determine if your PostgreSQL installation is vulnerable to CVE-2025-1094:
1. Version Check: The most straightforward approach is to check the PostgreSQL version installed on your system. You can do this by running the following SQL query:
Compare the outputted version against the list of affected versions. If your version is older than the fixed versions (13.19, 14.16, 15.11, 16.7, or 17.3), your system is vulnerable.
2. Code Review: Examine your application code for instances where PQescapeLiteral()
, PQescapeIdentifier()
, PQescapeString()
, and PQescapeStringConn()
functions are used to construct input for psql
. Focus on sections where user-supplied data is incorporated into these functions without proper validation or sanitization.
3. Encoding Configuration Check: If you are using PostgreSQL command-line utilities, verify the client and server encoding settings. If the client encoding is set to BIG5 and the server encoding is either EUC_TW or MULE_INTERNAL, your system is potentially vulnerable. Check these settings using the following commands:
Client Encoding (psql): \encoding
within psql
Server Encoding: SHOW server_encoding;
4. Monitor Database Logs: Analyze PostgreSQL's logs for suspicious activity, such as unexpected SQL errors or attempts to access unauthorized data. Look for patterns that might indicate SQL injection attempts.
The primary remediation strategy for CVE-2025-1094 is to upgrade your PostgreSQL installation to a patched version. Patches are available for the following versions:
Version 17.3
Version 16.7
Version 15.11
Version 14.16
Version 13.19
Upgrade Procedure:
Backup: Before initiating the upgrade process, create a complete backup of your database. This will allow you to restore your system to its previous state in case of any issues during the upgrade.
Download: Download the appropriate patched version for your operating system from the official PostgreSQL website or your operating system's package manager.
Installation: Follow the installation instructions provided by PostgreSQL for upgrading your database.
Verification: After the upgrade is complete, verify the PostgreSQL version to ensure the patch has been successfully applied.
Workarounds (If immediate patching is not possible):
If an immediate upgrade is not feasible, consider the following workarounds to mitigate the risk:
Input Validation: Implement strict input validation and sanitization for all user-supplied data that is used in SQL queries. Ensure that all special characters are properly escaped to prevent SQL injection attacks.
Parameterized Queries: Use parameterized queries (also known as prepared statements) instead of direct string concatenation to construct SQL queries. Parameterized queries prevent SQL injection by treating user-supplied data as data rather than executable code.
Prepared Statements: Prepared statements offer an alternative to direct string concatenation, providing enhanced security and performance benefits.
Limit Database User Privileges: Restrict database user privileges to the minimum required for their specific tasks. This will limit the potential damage that an attacker can cause if they gain unauthorized access to the database.
Monitor Database Access Logs: Enable and actively monitor database access logs for any suspicious activity. This will help you detect and respond to potential SQL injection attempts in a timely manner.
Web Application Firewall (WAF): Consider deploying a web application firewall (WAF) to filter malicious traffic and block SQL injection attempts before they reach the database server.
By applying the necessary upgrades and implementing these mitigation strategies, you can significantly reduce the risk posed by CVE-2025-1094 and protect your PostgreSQL database systems from potential attacks. Remember to monitor official channels for any security updates or patches related to this vulnerability. The goal is to help security professionals remediate the vulnerability and protect their products from being exploited.
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Arun KL is a cybersecurity professional with 15+ years of experience in IT infrastructure, cloud security, vulnerability management, Penetration Testing, security operations, and incident response. He is adept at designing and implementing robust security solutions to safeguard systems and data. Arun holds multiple industry certifications including CCNA, CCNA Security, RHCE, CEH, and AWS Security.
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