Pimcore CMF: Counter Logic Error in Conditions Tab Fix 3.3.9
CVE-2023-32075 Published on May 11, 2023

Pimcore vulnerable to Business Logic Errors in Customer automation rules
The Customer Management Framework (CMF) for Pimcore adds functionality for customer data management. In `pimcore/customer-management-framework-bundle` prior to version 3.3.9, business logic errors are possible in the `Conditions` tab since the counter can be a negative number. This vulnerability is capable of the unlogic in the counter value in the Conditions tab. Users should update to version 3.3.9 to receive a patch or, as a workaround, or apply the patch manually.

Github Repository NVD

Vulnerability Analysis

CVE-2023-32075 can be exploited 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-2023-32075. The potential impact of an exploit of this vulnerability is considered to have no impact on confidentiality, with no impact on integrity, and no impact on availability.

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

Weakness Type

Improper Input Validation

The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly.


Products Associated with CVE-2023-32075

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Pimcore Customer Management Framework
 

Affected Versions

pimcore customer-data-framework Version < 3.3.9 is affected by CVE-2023-32075

Vulnerable Packages

The following package name and versions may be associated with CVE-2023-32075

Package Manager Vulnerable Package Versions Fixed In
composer pimcore/customer-management-framework-bundle < 3.3.9 3.3.9

Exploit Probability

EPSS
0.02%
Percentile
3.91%

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.