GeoServer 2.x CQL encode misuse (strEndsWith/strStartsWith)
CVE-2023-25157 Published on February 21, 2023
Unfiltered SQL Injection Vulnerabilities in Geoserver
GeoServer is an open source software server written in Java that allows users to share and edit geospatial data. GeoServer includes support for the OGC Filter expression language and the OGC Common Query Language (CQL) as part of the Web Feature Service (WFS) and Web Map Service (WMS) protocols. CQL is also supported through the Web Coverage Service (WCS) protocol for ImageMosaic coverages. Users are advised to upgrade to either version 2.21.4, or version 2.22.2 to resolve this issue. Users unable to upgrade should disable the PostGIS Datastore *encode functions* setting to mitigate ``strEndsWith``, ``strStartsWith`` and ``PropertyIsLike `` misuse and enable the PostGIS DataStore *preparedStatements* setting to mitigate the ``FeatureId`` misuse.
Vulnerability Analysis
CVE-2023-25157 can be exploited with network access, and does not require authorization privileges or user interaction. This vulnerability is considered to have a low attack complexity. The potential impact of an exploit of this vulnerability is considered to be critical as this vulnerability has a high impact to the confidentiality, integrity and availability of this component.
Weakness Type
What is a SQL Injection Vulnerability?
The software constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component.
CVE-2023-25157 has been classified to as a SQL Injection vulnerability or weakness.
Products Associated with CVE-2023-25157
stack.watch emails you whenever new vulnerabilities are published in Osgeo Geoserver or Geoserver. Just hit a watch button to start following.
Affected Versions
geoserver:- Version >= 2.22.0, < 2.22.2 is affected.
- Version < 2.21.4 is affected.
Exploit Probability
EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.