CVE-2026-112250 (GCVE-0-2026-112250)
Vulnerability from cvelistv5 – Published: 2026-10-26 09:41 – Updated: 2026-10-26 14:35
VLAI
EPSS
VEX
Title
Cleartext Storage of Windows Service Account Password in BRAIN2 Setup Log Files
Summary
A vulnerability has been identified in
BRAIN2 versions up to and including version 3.09. Under specific installation
conditions, the password of a Windows service account may be written in
cleartext to a setup log file. The issue occurs when Microsoft SQL Server
access is configured using Integrated Security and the Windows account intended
to run the BRAIN2 MainService is specified during execution of the BRAIN2
installation wizard. The setup log file is stored in the
temporary directory of the Windows administrator performing the installation.
This directory is not accessible to standard Windows users and can generally
only be accessed by users with administrative privileges. Successful exploitation could result in the
disclosure of credentials belonging to the configured BRAIN2 service account.
Severity
4.4 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-26 13:24 UTC
CWE
- CWE-532 - Insertion of sensitive information into log file
Assigner
References
1 reference
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Bizerba SE & Co. KG | BRAIN2 |
Affected:
0.0 , < 3.10
(semver)
|
guessed |
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.