CVE-2026-40550 (GCVE-0-2026-40550)
Vulnerability from cvelistv5 – Published: 2026-04-28 13:12 – Updated: 2026-09-30 11:18
VLAI
EPSS
VEX
Title
Privilege Escalation in multiple BinSoft products
Summary
Multiple BinSoft products are vulnerable to Privilege Escalation due to excessive database privileges assigned to the user used by the application. An attacker with access to any running application instance connected to the backend server can extract database credentials from the application’s memory by inspecting the running process. While ability to retrieve credentials from memory is the expected behavior, the exposed credentials grant administrative access to the database, exceeding the privileges required for normal application functionality. This allows an attacker to perform actions beyond those permitted through the application interface.
The described issue affects all published versions. The vendor stated that this issue is a direct result of the architecture model in which the software is distributed, and that it will be mitigated with a corrected installation manual.
Severity
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-04-28 14:15 UTC
CWE
- CWE-250 - Execution with Unnecessary Privileges
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://cert.pl/posts/2026/04/CVE-2026-40550/ | third-party-advisory |
| https://www.binsoft.pl/produkty | product |
Impacted products
8 products
| Vendor | Product | Version | |
|---|---|---|---|
| BinSoft | mpGabinet |
Affected:
0 , ≤ 23.12.19
(semver)
|
|
| BinSoft | mpFirma |
Affected:
0 , ≤ 26.4.9
(semver)
|
|
| BinSoft | mpFaktura |
Affected:
0 , ≤ 26.4.9
(semver)
|
|
| BinSoft | mpFirma ERP |
Affected:
0 , ≤ 26.4.9
(semver)
|
|
| BinSoft | mpSekretariat |
Affected:
0 , ≤ 25.2.4
(semver)
|
|
| BinSoft | mpPOS |
Affected:
0 , ≤ 25.2.4
(semver)
|
|
| BinSoft | mpCRM |
Affected:
0 , ≤ 25.2.4
(semver)
|
|
| BinSoft | mpWarsztat |
Affected:
0 , ≤ 20.4.28
(semver)
|
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
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Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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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.
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