Student Management System Authentication Bypass via Role Manipulation

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.

Casky was already ahead

This CVE exploits attack patterns that Casky's 261matched skills already investigate — long before this vulnerability was disclosed. Claude's reasoning model maps these techniques to MITRE ATT&CK, so practitioners who ran these skills have already seen the threat behaviour in their findings.

Analysis

CVE-2026-10167 represents a critical authentication weakness in the OUSL-GROUP-BrinaryBrains School Student Management System where attackers can manipulate the role parameter in the sign_auth_cookie function to bypass authentication controls. This improper authentication vulnerability (CWE-287) allows remote attackers to escalate privileges or impersonate legitimate users without valid credentials. Educational institutions using this system face direct risk of unauthorized access to sensitive student records, grades, and personal information. With the exploit publicly available, the attack surface is particularly concerning for schools lacking robust access controls and monitoring capabilities.

Casky.ai's 261 matched security skills leverage Claude's extended reasoning to detect the attack patterns mapped to TA0004 (Privilege Escalation) and TA0006 (Credential Access). Practitioners using Casky would identify suspicious sign_auth_cookie function calls with modified role parameters, detect anomalous authentication token generation patterns, and spot privilege escalation attempts where low-privileged sessions suddenly access administrator functions. The platform's MITRE ATT&CK-aligned skills would flag authentication bypass indicators such as cookie manipulation, unexpected role assignments in login logs, and lateral movement following successful role elevation. Security teams would see findings highlighting the controller manipulation vector, enabling them to implement input validation patches, implement strict role-based access controls, and correlate these attack patterns with broader privilege escalation campaigns in their environment.

Live Threat IntelligenceComing soon

Casky Risk Score

—

EPSS Probability

—

Shodan Exposure

—

GreyNoise Signal

—

Composite risk scoring from EPSS, CISA KEV, Shodan, and GreyNoise — 21 security APIs correlated into a single Casky Risk Score. Coming in Casky Pro. Join early access →

261 Casky skills cover this attack pattern

These skills use Claude AI's reasoning model to surface findings in the same attack categories as CVE-2026-10167.

analyzing-cloud-storage-access-patterns

cloud security · low

Run

analyzing-kubernetes-audit-logs

container security · low

Run

analyzing-malicious-url-with-urlscan

phishing defense · medium

Run

MITRE ATT&CK Techniques

TA0004 TA0006

Investigate the attack patterns behind CVE-2026-10167

Casky has 261 skills that investigate the attack patterns behind CVE-2026-10167. Run one and get CVSS-scored findings in 3 minutes.

Run the skill that detects this →

X Instagram LinkedIn