Vulnerability from drupal
Published
2025-05-28 17:46
Modified
2025-05-29 18:15
Summary
Details
The COOKIES module protects users from executing JavaScript code provided by third parties, e.g., to display ads or track user data without consent.
Each sub-module allows to include a specific third party service in the consent management, by controlling the execution of javascript. However, this does not adequately check whether the provided JavaScript code originates from authorized users.
A potential attacker would at least need permission to create and publish HTML (e.g. content or comments).
Credits
References
| URL | Type | |
|---|---|---|
{
"affected": [
{
"database_specific": {
"affected_versions": "\u003c1.2.15"
},
"package": {
"ecosystem": "Packagist:https://packages.drupal.org/8",
"name": "drupal/cookies"
},
"ranges": [
{
"database_specific": {
"constraint": "\u003c1.2.15"
},
"events": [
{
"introduced": "0"
},
{
"fixed": "1.2.15"
}
],
"type": "ECOSYSTEM"
}
],
"severity": []
}
],
"aliases": [
"CVE-2025-48915"
],
"credits": [
{
"contact": [
"https://www.drupal.org/u/prudloff"
],
"name": "Pierre Rudloff (prudloff)"
}
],
"details": "The COOKIES module protects users from executing JavaScript code provided by third parties, e.g., to display ads or track user data without consent.\n\nEach sub-module allows to include a specific third party service in the consent management, by controlling the execution of javascript. However, this does not adequately check whether the provided JavaScript code originates from authorized users.\n\nA potential attacker would at least need permission to create and publish HTML (e.g. content or comments).",
"id": "DRUPAL-CONTRIB-2025-076",
"modified": "2025-05-29T18:15:56.000Z",
"published": "2025-05-28T17:46:09.000Z",
"references": [
{
"type": "WEB",
"url": "https://www.drupal.org/sa-contrib-2025-076"
}
],
"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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