(CVE-2026-16640)
Vulnerability from drupal – Published: 2026-07-22 17:55 – Updated: 2026-07-22 21:34 – Source website
VLAI
Details
This module enables you to add autocomplete suggestions for search forms created with the Search API module.
The module ships with a test script that is accessible to anonymous users and doesn't sufficiently validate user input, leading to a Cross Site Scripting vulnerability.
This vulnerability is mitigated by the fact that the web server must be configured to display warning messages to users.
Credits
References
| URL | Type | |
|---|---|---|
{
"affected": [
{
"database_specific": {
"affected_versions": "\u003c1.12.0"
},
"package": {
"ecosystem": "Packagist:https://packages.drupal.org/8",
"name": "drupal/search_api_autocomplete"
},
"ranges": [
{
"database_specific": {
"constraint": "\u003c1.12.0"
},
"events": [
{
"introduced": "0"
},
{
"fixed": "1.12.0"
}
],
"type": "ECOSYSTEM"
}
],
"severity": []
}
],
"aliases": [
"CVE-2026-16640"
],
"credits": [
{
"contact": [
"https://www.drupal.org/u/elarlang"
],
"name": "Elar Lang (elarlang)"
}
],
"details": "This module enables you to add autocomplete suggestions for search forms created with the [Search API module](/project/search_api).\n\nThe module ships with a test script that is accessible to anonymous users and doesn\u0027t sufficiently validate user input, leading to a Cross Site Scripting vulnerability.\n\nThis vulnerability is mitigated by the fact that the web server must be configured to display warning messages to users.",
"id": "DRUPAL-CONTRIB-2026-082",
"modified": "2026-07-22T21:34:15.000Z",
"published": "2026-07-22T17:55:04.000Z",
"references": [
{
"type": "WEB",
"url": "https://www.drupal.org/sa-contrib-2026-082"
}
],
"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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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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.
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