Vulnerability from drupal
Published
2025-06-25 18:41
Modified
2025-06-25 18:41
Summary
Details
Open Social is a Drupal distribution for online communities, which ships with a default module that allows users to enroll in events.
The module doesn't sufficiently protect certain routes from Cross Site Request Forgery (CSRF) attacks. Users can be tricked into accepting or rejecting these enrollments.
This issue only affects sites that have event enrollments enabled for an event.
Credits
References
| URL | Type | |
|---|---|---|
{
"affected": [
{
"database_specific": {
"affected_versions": "\u003c12.3.14 || \u003e=12.4.0 \u003c12.4.13"
},
"package": {
"ecosystem": "Packagist:https://packages.drupal.org/8",
"name": "drupal/social"
},
"ranges": [
{
"database_specific": {
"constraint": "\u003c12.3.14"
},
"events": [
{
"introduced": "0"
},
{
"fixed": "12.3.14"
}
],
"type": "ECOSYSTEM"
},
{
"database_specific": {
"constraint": "\u003e=12.4.0 \u003c12.4.13"
},
"events": [
{
"introduced": "12.4.0"
},
{
"fixed": "12.4.13"
}
],
"type": "ECOSYSTEM"
}
],
"severity": []
}
],
"aliases": [
"CVE-2025-48921"
],
"credits": [
{
"contact": [
"https://www.drupal.org/u/mrbaileys"
],
"name": "Ivo Van Geertruyen (mr.baileys)"
}
],
"details": "Open Social is a Drupal distribution for online communities, which ships with a default module that allows users to enroll in events.\n\nThe module doesn\u0027t sufficiently protect certain routes from Cross Site Request Forgery (CSRF) attacks. Users can be tricked into accepting or rejecting these enrollments.\n\nThis issue only affects sites that have event enrollments enabled for an event.",
"id": "DRUPAL-CONTRIB-2025-079",
"modified": "2025-06-25T18:41:34.000Z",
"published": "2025-06-25T18:41:34.000Z",
"references": [
{
"type": "WEB",
"url": "https://www.drupal.org/sa-contrib-2025-079"
}
],
"schema_version": "1.7.0"
}
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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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