CVE-2026-10167 (GCVE-0-2026-10167)
Vulnerability from cvelistv5 – Published: 2026-05-31 03:30 – Updated: 2026-06-01 15:24
VLAI
EPSS
VEX
Title
OUSL-GROUP-BrinaryBrains School Student Management System MY_Controller Login.php sign_auth_cookie improper authentication
Summary
A weakness has been identified in OUSL-GROUP-BrinaryBrains School Student Management System up to 1e70e5ad1125b86dca4ee086eb6bb121f17708b6. This impacts the function sign_auth_cookie of the file application/controllers/Login.php of the component MY_Controller. Executing a manipulation of the argument role can lead to improper authentication. It is possible to launch the attack remotely. The exploit has been made available to the public and could be used for attacks. This product takes the approach of rolling releases to provide continious delivery. Therefore, version details for affected and updated releases are not available. The project was informed of the problem early through an issue report but has not responded yet.
Severity
SSVC
Exploitation: poc
Automatable: yes
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-06-01 15:17 UTC
CWE
- CWE-287 - Improper Authentication
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://vuldb.com/vuln/367421 | vdb-entrytechnical-description |
| https://vuldb.com/vuln/367421/cti | signaturepermissions-required |
| https://vuldb.com/submit/819157 | third-party-advisory |
| https://github.com/OUSL-GROUP-BrinaryBrains/Schoo… | exploitissue-tracking |
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| OUSL-GROUP-BrinaryBrains | School Student Management System |
Affected:
1e70e5ad1125b86dca4ee086eb6bb121f17708b6
cpe:2.3:a:ousl-group-brinarybrains:school_student_management_system:*:*:*:*:*:*:*:* |
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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 |
|---|
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.
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.
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