(CVE-2025-7716)
Vulnerability from drupal – Published: 2025-07-16 16:46 – Updated: 2025-07-17 14:42 – Source website
VLAI
Details
This module enables you to analyze the content that you're authoring for a website. It shows you a preview of what a search result might look like.
The module doesn't sufficiently escape the metadata from content while rendering the preview, opening up the possibility of a XSS attack.
This vulnerability is mitigated by the fact that an attacker must be able to author content that is analyzed by the Real-Time SEO module.
Credits
References
| URL | Type | |
|---|---|---|
{
"affected": [
{
"database_specific": {
"affected_versions": "\u003e=2.0.0 \u003c2.2.0"
},
"package": {
"ecosystem": "Packagist:https://packages.drupal.org/8",
"name": "drupal/yoast_seo"
},
"ranges": [
{
"database_specific": {
"constraint": "\u003e=2.0.0 \u003c2.2.0"
},
"events": [
{
"introduced": "2.0.0"
},
{
"fixed": "2.2.0"
}
],
"type": "ECOSYSTEM"
}
],
"severity": []
}
],
"aliases": [
"CVE-2025-7716"
],
"credits": [
{
"contact": [
"https://www.drupal.org/u/prudloff"
],
"name": "Pierre Rudloff (prudloff)"
}
],
"details": "This module enables you to analyze the content that you\u0027re authoring for a website. It shows you a preview of what a search result might look like.\n\nThe module doesn\u0027t sufficiently escape the metadata from content while rendering the preview, opening up the possibility of a XSS attack.\n\nThis vulnerability is mitigated by the fact that an attacker must be able to author content that is analyzed by the Real-Time SEO module.",
"id": "DRUPAL-CONTRIB-2025-091",
"modified": "2025-07-17T14:42:36.000Z",
"published": "2025-07-16T16:46:49.000Z",
"references": [
{
"type": "WEB",
"url": "https://www.drupal.org/sa-contrib-2025-091"
}
],
"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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