GHSA-C4F8-29GW-FP3Q
Vulnerability from github – Published: 2025-10-21 18:30 – Updated: 2025-10-22 15:31
VLAI?
Details
Moodle PDF Annotator plugin v1.5 release 9 allows stored cross-site scripting (XSS) via the Public Comments feature. An attacker with a low-privileged account (e.g., Student) can inject arbitrary JavaScript payloads into a comment. When any other user (Student, Teacher, or Admin) views the annotated PDF, the payload is executed in their browser, leading to session hijacking, credential theft, or other attacker-controlled actions.
Severity ?
5.4 (Medium)
{
"affected": [],
"aliases": [
"CVE-2025-60506"
],
"database_specific": {
"cwe_ids": [
"CWE-79"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2025-10-21T17:15:40Z",
"severity": "MODERATE"
},
"details": "Moodle PDF Annotator plugin v1.5 release 9 allows stored cross-site scripting (XSS) via the Public Comments feature. An attacker with a low-privileged account (e.g., Student) can inject arbitrary JavaScript payloads into a comment. When any other user (Student, Teacher, or Admin) views the annotated PDF, the payload is executed in their browser, leading to session hijacking, credential theft, or other attacker-controlled actions.",
"id": "GHSA-c4f8-29gw-fp3q",
"modified": "2025-10-22T15:31:06Z",
"published": "2025-10-21T18:30:35Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2025-60506"
},
{
"type": "WEB",
"url": "https://github.com/onurcangnc/moodle-xss-pdfannotator"
},
{
"type": "WEB",
"url": "https://onurcangenc.com.tr/blog/moodle-xss-pdfannotator"
},
{
"type": "WEB",
"url": "https://onurcangenc.com.tr/posts/cve-2025-60506-stored-cross-site-scripting-xss-in-moodle-pdf-annotator-plugin-v1-5-release-9"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/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…
Loading…