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CVE Vulnerability Database
Vulnerability Database/CVE-2025-1094

CVE-2025-1094: PostgreSQL libpq SQL Injection Vulnerability

CVE-2025-1094 is a SQL injection flaw in PostgreSQL libpq escape functions that enables attackers to inject malicious SQL through improper quote handling. This article covers technical details, affected versions, and mitigation.

Updated: January 22, 2026

CVE-2025-1094 Overview

Improper neutralization of quoting syntax in PostgreSQL libpq functions PQescapeLiteral(), PQescapeIdentifier(), PQescapeString(), and PQescapeStringConn() allows a database input provider to achieve SQL injection in certain usage patterns. Specifically, SQL injection requires the application to use the function result to construct input to psql, the PostgreSQL interactive terminal. Improper neutralization of quoting syntax in PostgreSQL command line utility programs allows a source of command line arguments to achieve SQL injection when client_encoding is BIG5 and server_encoding is one of EUC_TW or MULE_INTERNAL. Versions before PostgreSQL 17.3, 16.7, 15.11, 14.16, and 13.19 are affected.

Critical Impact

This vulnerability allows remote attackers to inject malicious SQL code, leading to unauthorized access and potential data exfiltration.

Affected Products

  • PostgreSQL versions before 17.3
  • PostgreSQL versions before 16.7
  • PostgreSQL versions before 15.11

Discovery Timeline

  • 2025-02-13 - CVE CVE-2025-1094 published to NVD
  • 2025-02-21 - Last updated in NVD database

Technical Details for CVE-2025-1094

Vulnerability Analysis

The vulnerability arises from improper handling of quoting syntax in key PostgreSQL functions. This mishandling can be exploited in scenarios where user-controlled input ends up in a SQL query executed by psql. If the application doesn’t properly sanitize inputs, attackers can manipulate SQL queries to perform unauthorized actions on the database.

Root Cause

The root cause is the improper neutralization of special characters in database queries, which can be controlled by an attacker due to the quoting flaws in PostgreSQL's utility functions responsible for escaping.

Attack Vector

Network-connected applications using PostgreSQL with potentially tainted input processed by vulnerable escaping functions are susceptible to SQL injection.

sql
-- Example exploitation code (sanitized)
SELECT * FROM users WHERE username = 'admin'; --'; DROP TABLE users; --'

Detection Methods for CVE-2025-1094

Indicators of Compromise

  • Unexpected entries in SQL execution logs indicating abnormal querying patterns
  • Unauthorized database modifications or metadata changes
  • Increased database query execution times

Detection Strategies

Implement strict input validation and use prepared statements with parameterized queries. Regular auditing of database logs for suspicious activities can aid in timely detection.

Monitoring Recommendations

Continuous monitoring of database access and query patterns using SentinelOne's ActiveEDR and Deep Visibility features can help in quickly identifying and responding to atypical database operations.

How to Mitigate CVE-2025-1094

Immediate Actions Required

  • Upgrade to PostgreSQL 17.3 or later
  • Review all SQL query constructions for usage of vulnerable functions
  • Implement strict input validation standards

Patch Information

Patches are provided by PostgreSQL for versions 17.3 and newer. Further details can be found in the official PostgreSQL advisory.

Workarounds

Where patching is not feasible, enforce database role restrictions to limit potential damage from SQL injection and sanitize all inputs rigorously.

bash
# Configuration example
psql -c "ALTER ROLE role_name SET client_encoding TO 'UTF8';"
psql -c "ALTER ROLE role_name SET server_encoding TO 'UTF8';"

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

  • Vulnerability Details
  • TypeSQLI

  • Vendor/TechPostgresql

  • SeverityHIGH

  • CVSS Score8.1

  • EPSS Probability76.08%

  • Known ExploitedNo
  • CVSS Vector
  • CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H
  • Impact Assessment
  • ConfidentialityHigh
  • IntegrityNone
  • AvailabilityHigh
  • CWE References
  • CWE-149
  • Technical References
  • Postgresql

  • Openwall

  • Openwall

  • Lists Debian

  • Lists Debian

  • Security Netapp
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