GHSA-CJ84-VF64-52HG
Vulnerability from github – Published: 2026-08-16 09:30 – Updated: 2026-08-16 09:30
VLAI
Details
The WP Compress – Instant Performance & Speed Optimization plugin for WordPress is vulnerable to Cross-Site Request Forgery in all versions up to, and including, 7.10.09. This is due to missing or incorrect nonce validation on the (top-level template code) function. This makes it possible for unauthenticated attackers to delete arbitrary WordPress options, including critical ones such as siteurl, home, active_plugins, template, and stylesheet, causing site outage or a full plugin and theme reset via a forged request granted they can trick a site administrator into performing an action such as clicking on a link.
Severity
6.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2026-17608"
],
"database_specific": {
"cwe_ids": [
"CWE-352"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-08-16T07:16:30Z",
"severity": "MODERATE"
},
"details": "The WP Compress \u2013 Instant Performance \u0026 Speed Optimization plugin for WordPress is vulnerable to Cross-Site Request Forgery in all versions up to, and including, 7.10.09. This is due to missing or incorrect nonce validation on the (top-level template code) function. This makes it possible for unauthenticated attackers to delete arbitrary WordPress options, including critical ones such as siteurl, home, active_plugins, template, and stylesheet, causing site outage or a full plugin and theme reset via a forged request granted they can trick a site administrator into performing an action such as clicking on a link.",
"id": "GHSA-cj84-vf64-52hg",
"modified": "2026-08-16T09:30:21Z",
"published": "2026-08-16T09:30:21Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-17608"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/wp-compress-image-optimizer/tags/7.10.03/classes/menu.class.php#L239"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/wp-compress-image-optimizer/tags/7.10.03/classes/menu.class.php#L335"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/wp-compress-image-optimizer/tags/7.10.03/templates/admin/advanced_settings_v4.php#L2378"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/wp-compress-image-optimizer/tags/7.10.03/templates/admin/debug_tool.php#L550"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/wp-compress-image-optimizer/tags/7.10.03/templates/admin/debug_tool.php#L551"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/changeset?reponame=\u0026old=3641964%40wp-compress-image-optimizer\u0026new=3641964%40wp-compress-image-optimizer"
},
{
"type": "WEB",
"url": "https://www.wordfence.com/threat-intel/vulnerabilities/id/67013cc9-c20f-4137-9a4d-e7d700899131?source=cve"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:N",
"type": "CVSS_V3"
}
]
}
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…