Cyber Resilience

CVE-2026-24672

HighPublic PoC

Published: 03 February 2026

Published
03 February 2026
Modified
10 February 2026
KEV Added
Patch
CVSS Score v3.1 7.3 CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:H/I:H/A:N
EPSS Score 0.0006 18.5th percentile
Risk Priority 15 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2026-24672 is a high-severity Cross-site Scripting (CWE-79) vulnerability in Gunet Open Eclass Platform. Its CVSS base score is 7.3 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Browser Session Hijacking (T1185); ranked at the 18.5th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

The strongest mitigations our analysis identified are NIST 800-53 SI-10 (Information Input Validation) and SI-15 (Information Output Filtering).

Deeper analysis

CVE-2026-24672 is a Stored Cross-Site Scripting (XSS) vulnerability, classified under CWE-79, in the Open eClass platform (formerly known as GUnet eClass), a complete course management system. It affects versions prior to 4.2, specifically in user profile fields that fail to sanitize input properly, allowing injected JavaScript to persist and execute.

Authenticated students can exploit this vulnerability by injecting malicious JavaScript into their own user profile fields. The payload executes in the browsers of users with viewing privileges when they access affected application pages, potentially leading to high confidentiality and integrity impacts such as session hijacking, data theft, or page manipulation. The CVSS v3.1 base score of 7.3 (AV:N/AC:L/PR:L/UI:R/S:U/C:H/I:H/A:N) indicates network accessibility, low attack complexity, low privileges required, and user interaction needed, with no availability disruption.

The issue has been patched in Open eClass version 4.2. Additional details on the vulnerability and mitigation are available in the GitHub security advisory at https://github.com/gunet/openeclass/security/advisories/GHSA-3p2x-qgxw-qvxh.

EU & UK References

Vulnerability details

The Open eClass platform (formerly known as GUnet eClass) is a complete course management system. Prior to version 4.2, a Stored Cross-Site Scripting (XSS) vulnerability allows authenticated students to inject malicious JavaScript into user profile fields, which is executed when…

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users with viewing privileges access affected application pages. This issue has been patched in version 4.2.

CWE(s)

Related Threats

MITRE ATT&CK Enterprise TechniquesAI

T1185 Browser Session Hijacking Collection
Adversaries may take advantage of security vulnerabilities and inherent functionality in browser software to change content, modify user-behaviors, and intercept information as part of various browser session hijacking techniques.
T1539 Steal Web Session Cookie Credential Access
An adversary may steal web application or service session cookies and use them to gain access to web applications or Internet services as an authenticated user without needing credentials.
Why these techniques?

Stored XSS directly enables browser-based session hijacking (T1185) and web session cookie theft (T1539) via injected JavaScript execution in victim browsers.

Confidence: MEDIUM · MITRE ATT&CK Enterprise v18.1

CVEs Like This One

CVE-2026-24665Same product: Gunet Open Eclass Platform
CVE-2020-37112Same product: Gunet Open Eclass Platform
CVE-2020-37113Same product: Gunet Open Eclass Platform
CVE-2020-37116Same product: Gunet Open Eclass Platform
CVE-2026-24773Same product: Gunet Open Eclass Platform
CVE-2026-24669Same product: Gunet Open Eclass Platform
CVE-2026-32277Shared CWE-79
CVE-2026-35035Shared CWE-79
CVE-2026-46367Shared CWE-79
CVE-2025-25102Shared CWE-79

Affected Assets

gunet
open eclass platform
≤ 4.2

Mitigating Controls

Mitigating Controls (NIST 800-53 r5) AI

prevent

Directly requires validation and sanitization of all user-supplied profile fields to block persistent JavaScript injection before storage.

prevent

Requires filtering or encoding of profile data on output so that stored malicious scripts are neutralized before execution in viewers' browsers.

detect

Provides integrity verification of user-supplied content that can detect unauthorized script insertion after the fact.

References