SQLi in Pimcore Admin Classic Bundle <1.3.2
CVE-2024-23646 Published on January 24, 2024

Pimcore Admin Classic Bundle SQL Injection in Admin download files as zip
Pimcore's Admin Classic Bundle provides a backend user interface for Pimcore. The application allows users to create zip files from available files on the site. In the 1.x branch prior to version 1.3.2, parameter `selectedIds` is susceptible to SQL Injection. Any backend user with very basic permissions can execute arbitrary SQL statements and thus alter any data or escalate their privileges to at least admin level. Version 1.3.2 contains a fix for this issue.

Github Repository NVD

Vulnerability Analysis

CVE-2024-23646 is exploitable with network access, and requires small amount of user privileges. This vulnerability is considered to have a low attack complexity. Public availability of a proof of concept (POC) exploit exists for CVE-2024-23646. The potential impact of an exploit of this vulnerability is considered to be very high.

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

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-2024-23646 has been classified to as a SQL Injection vulnerability or weakness.


Products Associated with CVE-2024-23646

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Affected Versions

pimcore admin-ui-classic-bundle Version >= 1.0.0, < 1.3.2 is affected by CVE-2024-23646

Vulnerable Packages

The following package name and versions may be associated with CVE-2024-23646

Package Manager Vulnerable Package Versions Fixed In
composer pimcore/admin-ui-classic-bundle >= 1.0.0, < 1.3.2 1.3.2

Exploit Probability

EPSS
0.14%
Percentile
33.21%

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.