Vulnerability from drupal
Published
2026-08-26 17:40
Modified
2026-08-26 17:40
Summary
Details
The DXPR Builder module provides a visual / AI page builder for Drupal. The module uses a JSON Web Token for licensing, user license management, AI services, and subscription metadata.
The 2.x version of the module does not sufficiently restrict access to API credentials in JavaScript settings. When AI agent features are enabled, the token is exposed to all page visitors (including anonymous users) via drupalSettings.
This vulnerability is mitigated by the fact that a site must have DXPR Builder AI features enabled and configured with an API token.
Credits
References
| URL | Type | |
|---|---|---|
{
"affected": [
{
"database_specific": {
"affected_versions": "\u003c2.8.1"
},
"package": {
"ecosystem": "Packagist:https://packages.drupal.org/8",
"name": "drupal/dxpr_builder"
},
"ranges": [
{
"database_specific": {
"constraint": "\u003c2.8.1"
},
"events": [
{
"introduced": "0"
},
{
"fixed": "2.8.1"
}
],
"type": "ECOSYSTEM"
}
],
"severity": []
}
],
"aliases": [
"CVE-2026-81162"
],
"credits": [
{
"contact": [
"https://www.drupal.org/u/jurriaanroelofs"
],
"name": "jurriaanroelofs"
}
],
"details": "The [DXPR Builder](https://www.drupal.org/project/dxpr_builder) module provides a visual / AI page builder for Drupal. The module uses a JSON Web Token for licensing, user license management, AI services, and subscription metadata.\n\nThe 2.x version of the module does not sufficiently restrict access to API credentials in JavaScript settings. When AI agent features are enabled, the token is exposed to all page visitors (including anonymous users) via `drupalSettings`.\n\nThis vulnerability is mitigated by the fact that a site must have DXPR Builder AI features enabled and configured with an API token.",
"id": "DRUPAL-CONTRIB-2026-112",
"modified": "2026-08-26T17:40:40.000Z",
"published": "2026-08-26T17:40:40.000Z",
"references": [
{
"type": "WEB",
"url": "https://www.drupal.org/sa-contrib-2026-112"
}
],
"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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