PDF Annotator Plugin 1.5 on Moodle Public Comments Feature cross site scripting

CVSS Meta Temp Score
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CTI Interest Score
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3.5$0-$5k0.00

Summaryinfo

A vulnerability has been found in PDF Annotator Plugin 1.5 on Moodle and classified as problematic. This affects an unknown function of the component Public Comments Feature. This manipulation causes cross site scripting. This vulnerability is tracked as CVE-2025-60506. The attack is possible to be carried out remotely. No exploit exists.

Detailsinfo

A vulnerability was found in PDF Annotator Plugin 1.5 on Moodle. It has been declared as problematic. Affected by this vulnerability is an unknown part of the component Public Comments Feature. The manipulation with an unknown input leads to a cross site scripting vulnerability. The CWE definition for the vulnerability is CWE-79. The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users. As an impact it is known to affect integrity. The summary by CVE is:

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.

It is possible to read the advisory at onurcangenc.com.tr. This vulnerability is known as CVE-2025-60506 since 09/26/2025. The exploitation appears to be easy. The attack can be launched remotely. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1059.007 according to MITRE ATT&CK.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 3.5
VulDB Meta Temp Score: 3.5

VulDB Base Score: 3.5
VulDB Temp Score: 3.5
VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv2info

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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Cross site scripting
CWE: CWE-79 / CWE-94 / CWE-74
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined

EPSS Score: 🔒
EPSS Percentile: 🔒

Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

09/26/2025 CVE reserved
10/22/2025 +26 days Advisory disclosed
10/22/2025 +0 days VulDB entry created
10/22/2025 +0 days VulDB entry last update

Sourcesinfo

Advisory: onurcangenc.com.tr
Status: Not defined

CVE: CVE-2025-60506 (🔒)
GCVE (CVE): GCVE-0-2025-60506
GCVE (VulDB): GCVE-100-329227

Entryinfo

Created: 10/22/2025 04:45
Changes: 10/22/2025 04:45 (53)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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