Vulnerability from drupal
Published
2026-08-26 17:32
Modified
2026-08-26 17:32
Summary
Details
The Address Suggestion module provides address autocomplete functionality using configured address providers.
The module doesn't sufficiently sanitize address suggestion data returned by configured providers, which can lead to a cross-site scripting (XSS) vulnerability.
This vulnerability is mitigated by the fact that an attacker must be able to inject malicious content into data returned by a configured address provider, and a user must perform a search that returns the malicious suggestion.
Credits
References
| URL | Type | |
|---|---|---|
{
"affected": [
{
"database_specific": {
"affected_versions": "\u003c1.0.25"
},
"package": {
"ecosystem": "Packagist:https://packages.drupal.org/8",
"name": "drupal/address_suggestion"
},
"ranges": [
{
"database_specific": {
"constraint": "\u003c1.0.25"
},
"events": [
{
"introduced": "0"
},
{
"fixed": "1.0.25"
}
],
"type": "ECOSYSTEM"
}
],
"severity": []
}
],
"aliases": [
"CVE-2026-81167"
],
"credits": [
{
"contact": [
"https://www.drupal.org/u/cmlara"
],
"name": "Conrad Lara (cmlara)"
}
],
"details": "The Address Suggestion module provides address autocomplete functionality using configured address providers.\n\nThe module doesn\u0027t sufficiently sanitize address suggestion data returned by configured providers, which can lead to a cross-site scripting (XSS) vulnerability.\n\nThis vulnerability is mitigated by the fact that an attacker must be able to inject malicious content into data returned by a configured address provider, and a user must perform a search that returns the malicious suggestion.",
"id": "DRUPAL-CONTRIB-2026-103",
"modified": "2026-08-26T17:32:54.000Z",
"published": "2026-08-26T17:32:54.000Z",
"references": [
{
"type": "WEB",
"url": "https://www.drupal.org/sa-contrib-2026-103"
}
],
"schema_version": "1.7.0"
}
Loading…
Loading…
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.
Loading…
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.
Loading…
Loading…