Vulnerability-Lookup

CVE-2026-24669 (GCVE-0-2026-24669)

Vulnerability from cvelistv5 – Published: 2026-02-03 17:00 – Updated: 2026-02-04 16:51

Title

Open eClass Insecure Password Reset Token Reuse Enables Account Takeover

Summary

The Open eClass platform (formerly known as GUnet eClass) is a complete course management system. Prior to version 4.2, an insecure password reset mechanism allows local attackers to reuse a valid password reset token after it has already been used, enabling unauthorized password changes and potential account takeover. This issue has been patched in version 4.2.

Severity

7.8 (High)


                        
                          CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

SSVC

Exploitation: none Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-02-04 15:54 UTC

CWE

CWE-613 - Insufficient Session Expiration

Assigner

GitHub_M mitre root

References

1 reference

URL	Tags
https://github.com/gunet/openeclass/security/advi…	x_refsource_CONFIRM

Impacted products

1 product

Vendor	Product	Version	CPE status
gunet	openeclass	Affected: < 4.2	guessed

Show details on NVD website

JSON

To clipboard

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FKIE_CVE-2026-24669

Vulnerability from fkie_nvd - Published: 2026-02-03 18:16 - Updated: 2026-06-17 10:23

Severity

7.8 (High) - CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

Summary

References

	URL	Tags
	security-advisories@github.com	https://github.com/gunet/openeclass/security/advisories/GHSA-gcqq-fxw6-f866	Exploit, Vendor Advisory

Impacted products

	Vendor	Product	Version
	gunet	open_eclass_platform	*

JSON

To clipboard

{
  "affected": [
    {
      "affectedData": [
        {
          "product": "openeclass",
          "vendor": "gunet",
          "versions": [
            {
              "status": "affected",
              "version": "\u003c 4.2"
            }
          ]
        }
      ],
      "source": "security-advisories@github.com"
    }
  ],
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    },
    {
      "lang": "es",
      "value": "La plataforma Open eClass (anteriormente conocida como GUnet eClass) es un sistema completo de gesti\u00f3n de cursos. Antes de la versi\u00f3n 4.2, un mecanismo inseguro de restablecimiento de contrase\u00f1a permite a atacantes locales reutilizar un token v\u00e1lido de restablecimiento de contrase\u00f1a despu\u00e9s de que ya ha sido utilizado, posibilitando cambios de contrase\u00f1a no autorizados y una posible toma de control de la cuenta. Este problema ha sido parcheado en la versi\u00f3n 4.2."
    }
  ],
  "id": "CVE-2026-24669",
  "lastModified": "2026-06-17T10:23:23.453",
  "metrics": {
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      {
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          "confidentialityImpact": "HIGH",
          "integrityImpact": "HIGH",
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}

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.

Detection rules are retrieved from Rulezet.

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.

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.