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PostgreSQL JDBC Driver SQL Injection in ResultSet.refreshRow() with malicious column names

High severity GitHub Reviewed Published Aug 3, 2022 in pgjdbc/pgjdbc • Updated Oct 30, 2023

Package

maven org.postgresql:postgresql (Maven)

Affected versions

< 42.2.26
>= 42.4.0, < 42.4.1
>= 42.3.0, < 42.3.7

Patched versions

42.2.26
42.4.1
42.3.7

Description

Impact

What kind of vulnerability is it? Who is impacted?

The PGJDBC implementation of the java.sql.ResultRow.refreshRow() method is not performing escaping of column names so a malicious column name that contains a statement terminator, e.g. ;, could lead to SQL injection. This could lead to executing additional SQL commands as the application's JDBC user.

User applications that do not invoke the ResultSet.refreshRow() method are not impacted.

User application that do invoke that method are impacted if the underlying database that they are querying via their JDBC application may be under the control of an attacker. The attack requires the attacker to trick the user into executing SQL against a table name who's column names would contain the malicious SQL and subsequently invoke the refreshRow() method on the ResultSet.

For example:

CREATE TABLE refresh_row_example (
  id     int PRIMARY KEY,
  "1 FROM refresh_row_example; SELECT pg_sleep(10); SELECT * " int
);

This example has a table with two columns. The name of the second column is crafted to contain a statement terminator followed by additional SQL. Invoking the ResultSet.refreshRow() on a ResultSet that queried this table, e.g. SELECT * FROM refresh_row, would cause the additional SQL commands such as the SELECT pg_sleep(10) invocation to be executed.

As the multi statement command would contain multiple results, it would not be possible for the attacker to get data directly out of this approach as the ResultSet.refreshRow() method would throw an exception. However, the attacker could execute any arbitrary SQL including inserting the data into another table that could then be read or any other DML / DDL statement.

Note that the application's JDBC user and the schema owner need not be the same. A JDBC application that executes as a privileged user querying database schemas owned by potentially malicious less-privileged users would be vulnerable. In that situation it may be possible for the malicious user to craft a schema that causes the application to execute commands as the privileged user.

Patches

Has the problem been patched? What versions should users upgrade to?

Yes, versions 42.2.26, 42.3.7, and 42.4.1 have been released with a fix.

Workarounds

Is there a way for users to fix or remediate the vulnerability without upgrading?

Check that you are not using the ResultSet.refreshRow() method.

If you are, ensure that the code that executes that method does not connect to a database that is controlled by an unauthenticated or malicious user. If your application only connects to its own database with a fixed schema with no DDL permissions, then you will not be affected by this vulnerability as it requires a maliciously crafted schema.

References

@davecramer davecramer published to pgjdbc/pgjdbc Aug 3, 2022
Published by the National Vulnerability Database Aug 3, 2022
Published to the GitHub Advisory Database Aug 6, 2022
Reviewed Aug 6, 2022
Last updated Oct 30, 2023

Severity

High

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
High
Privileges required
Low
User interaction
Required
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:H/PR:L/UI:R/S:U/C:H/I:H/A:H

EPSS score

0.123%
(48th percentile)

Weaknesses

CVE ID

CVE-2022-31197

GHSA ID

GHSA-r38f-c4h4-hqq2

Source code

Credits

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