postgresql postgresql-jdbc-driver CVE-2022-21724 vulnerability in PostgreSQL and Other Products
Published on February 2, 2022

Unchecked Class Instantiation when providing Plugin Classes

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pgjdbc is the offical PostgreSQL JDBC Driver. A security hole was found in the jdbc driver for postgresql database while doing security research. The system using the postgresql library will be attacked when attacker control the jdbc url or properties. pgjdbc instantiates plugin instances based on class names provided via `authenticationPluginClassName`, `sslhostnameverifier`, `socketFactory`, `sslfactory`, `sslpasswordcallback` connection properties. However, the driver did not verify if the class implements the expected interface before instantiating the class. This can lead to code execution loaded via arbitrary classes. Users using plugins are advised to upgrade. There are no known workarounds for this issue.

Vendor Advisory Vendor Advisory NVD

Vulnerability Analysis

CVE-2022-21724 is exploitable with local system access, and requires small amount of user privileges. This vulnerability is consided to have a high level of attack complexity. Public availability of a proof of concept (POC) exploit exists for CVE-2022-21724. The potential impact of an exploit of this vulnerability is considered to be very high.

Attack Vector:
LOCAL
Attack Complexity:
HIGH
Privileges Required:
LOW
User Interaction:
NONE
Scope:
UNCHANGED
Confidentiality Impact:
HIGH
Integrity Impact:
HIGH
Availability Impact:
HIGH

Weakness Type

Improper Initialization

The software does not initialize or incorrectly initializes a resource, which might leave the resource in an unexpected state when it is accessed or used. This can have security implications when the associated resource is expected to have certain properties or values, such as a variable that determines whether a user has been authenticated or not.


Products Associated with CVE-2022-21724

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PostgreSQL JDBC Driver
 
Fedora Project Fedora
 
Quarkus
 
Debian Linux
 

Exploit Probability

EPSS
4.81%
Percentile
89.34%

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.