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GeoTools OGC Filter SQL Injection Vulnerabilities

Critical severity GitHub Reviewed Published Feb 21, 2023 in geotools/geotools • Updated Feb 22, 2023

Package

maven org.geotools:gt-jdbc (Maven)

Affected versions

>= 28.0, < 28.2
>= 27.0, < 27.4
>= 26.0, < 26.7
>= 25.0, < 25.7
< 24.7

Patched versions

28.2
27.4
26.7
25.7
24.7

Description

Impact

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:

  1. PropertyIsLike filter
    • Requires PostGIS DataStore with "encode functions" enabled
    • Or any JDBCDataStore (all relational databases) with String field (no mitigation)
  2. strEndsWith function
    • Requires PostGIS DataStore with "encode functions" enabled
  3. strStartsWith function
    • Requires PostGIS DataStore with "encode functions" enabled
  4. FeatureId filter
    • Requires JDBCDataStore (all relational databases) with prepared statements disabled and table with String primary key (Oracle not affected, SQL Server and MySQL have no settings to enabled prepared statements, PostGIS does)
  5. jsonArrayContains function
    • Requires PostGIS and Oracle DataStore with String or JSON field
  6. DWithin filter
    • Happens only in Oracle DataStore, no mitigation

Patches

  • GeoTools 28.2
  • GeoTools 27.4
  • GeoTools 26.7
  • GeoTools 25.7
  • GeoTools 24.7

Workarounds

Partial mitigation:

  • In PostGIS DataStore disable "encode functions"
  • In any PostGIS enable "prepared statements" (only database with such settings)
        Map<String, Object> params = new HashMap<>();
        params.put("dbtype", "postgis");
        params.put("host", "localhost");
        params.put("port", 5432);
        params.put("schema", "public");
        params.put("database", "database");
        params.put("user", "postgres");
        params.put("passwd", "postgres");
        params.put("preparedStatements", true ); // mitigation
        params.put("encode functions", false ); // mitigation

        DataStore dataStore = DataStoreFinder.getDataStore(params);

References

References

@jodygarnett jodygarnett published to geotools/geotools Feb 21, 2023
Published by the National Vulnerability Database Feb 21, 2023
Published to the GitHub Advisory Database Feb 22, 2023
Reviewed Feb 22, 2023
Last updated Feb 22, 2023

Severity

Critical

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v3 base metrics

Attack vector
Network
Attack complexity
Low
Privileges required
None
User interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High

CVSS v3 base metrics

Attack vector: More severe the more the remote (logically and physically) an attacker can be in order to exploit the vulnerability.
Attack complexity: More severe for the least complex attacks.
Privileges required: More severe if no privileges are required.
User interaction: More severe when no user interaction is required.
Scope: More severe when a scope change occurs, e.g. one vulnerable component impacts resources in components beyond its security scope.
Confidentiality: More severe when loss of data confidentiality is highest, measuring the level of data access available to an unauthorized user.
Integrity: More severe when loss of data integrity is the highest, measuring the consequence of data modification possible by an unauthorized user.
Availability: More severe when the loss of impacted component availability is highest.
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

EPSS score

0.176%
(56th percentile)

Weaknesses

CVE ID

CVE-2023-25158

GHSA ID

GHSA-99c3-qc2q-p94m

Source code

Credits

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