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CVE-2025-3637 (GCVE-0-2025-3637)

Vulnerability from cvelistv5 – Published: 2025-04-25 14:42 – Updated: 2025-04-25 15:56
VLAI
Title
Moodle: csrf token exposure via url in moodle mod_data module
Summary
A security vulnerability was found in Moodle where confidential information that prevents cross-site request forgery (CSRF) attacks was shared publicly through the site's URL. This vulnerability occurred specifically on two types of pages within the mod_data module: edit and delete pages.
Severity
3.1 (Low)
CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:L/I:N/A:N
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-04-25 15:43 UTC
CWE
  • CWE-598 - Use of GET Request Method With Sensitive Query Strings
Assigner
References
Impacted products
Vendor Product Version CPE status
Affected: 4.5.0 , < 4.5.4 (semver)
Affected: 4.4.0 , < 4.4.8 (semver)
Affected: 4.3.0 , < 4.3.12 (semver)
Affected: 4.1.0 , < 4.1.18 (semver)
Date Public
2025-04-22 12:00
Credits
Red Hat would like to thank Simon Reinhart for reporting this issue.
Show details on NVD website
To clipboard 

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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.


Detection rules are retrieved from Rulezet.


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.