CVE-2025-36094
Unknown Unknown - Not Provided

Input Validation Flaw in IBM Cloud Pak Causes DoS, Data Corruption

Publication date: 2026-02-03

Last updated on: 2026-02-25

Assigner: IBM Corporation

Description
IBM Cloud Pak for Business Automation 25.0.0 through 25.0.0 Interim Fix 002, 24.0.1 through 24.0.1 Interim Fix 005, and 24.0.0 through 24.0.0 Interim Fix 007 could allow an authenticated user to cause a denial of service or corrupt existing data due to the improper validation of input length.

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Meta Information

Published
2026-02-03
Last Modified
2026-02-25
Generated
2026-07-06
AI Q&A
2026-02-04
EPSS Evaluated
2026-07-05
NVD
CVE-2025-36094

Affected Vendors & Products

Showing 11 associated CPEs
Vendor Product Version / Range
ibm cloud_pak_for_business_automation 24.0.0
ibm cloud_pak_for_business_automation 24.0.0
ibm cloud_pak_for_business_automation 24.0.0
ibm cloud_pak_for_business_automation 24.0.1
ibm cloud_pak_for_business_automation 24.0.1
ibm cloud_pak_for_business_automation 24.0.1
ibm cloud_pak_for_business_automation 24.0.1
ibm cloud_pak_for_business_automation 25.0.0
ibm cloud_pak_for_business_automation 25.0.0
ibm cloud_pak_for_business_automation 24.0.1
ibm cloud_pak_for_business_automation 25.0.0

Helpful Resources

Exploitability

CWE
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KEV
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CWE ID Description
CWE-1284 The product receives input that is expected to specify a quantity (such as size or length), but it does not validate or incorrectly validates that the quantity has the required properties.

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Executive Summary

This vulnerability affects IBM Cloud Pak for Business Automation versions 25.0.0 through 25.0.0 Interim Fix 002, 24.0.1 through 24.0.1 Interim Fix 005, and 24.0.0 through 24.0.0 Interim Fix 007. It allows an authenticated user to cause a denial of service or corrupt existing data due to improper validation of input length.

Impact Analysis

The vulnerability can impact you by enabling an authenticated user to cause a denial of service, which can disrupt the availability of the affected system. Additionally, it can lead to corruption of existing data, potentially affecting data integrity.

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