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.

Show details on source website

{
  "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"
    }
  ]
}



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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

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