Jmol Plugin up to 6.1 on Moodle jsmol.php data cross site scripting
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.0 | $0-$5k | 0.00 |
Summary
A vulnerability marked as problematic has been reported in Jmol Plugin up to 6.1 on Moodle. This affects an unknown function of the file jsmol.php. Performing a manipulation of the argument data results in cross site scripting. This vulnerability is known as CVE-2025-34032. Remote exploitation of the attack is possible. Furthermore, an exploit is available.
Details
A vulnerability classified as problematic has been found in Jmol Plugin up to 6.1 on Moodle. This affects an unknown code of the file jsmol.php. The manipulation of the argument data with an unknown input leads to a cross site scripting vulnerability. CWE is classifying the issue as 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. This is going to have an impact on integrity. The summary by CVE is:
A reflected cross-site scripting (XSS) vulnerability exists in the Moodle LMS Jmol plugin version 6.1 and prior via the data parameter in jsmol.php. The application fails to properly sanitize user input before embedding it into the HTTP response, allowing an attacker to execute arbitrary JavaScript in the victim's browser by crafting a malicious link. This can be used to hijack user sessions or manipulate page content. Exploitation evidence was observed by the Shadowserver Foundation on 2025-02-02 UTC.
The weakness was published by Dionach By Nomios. It is possible to read the advisory at dionach.com. This vulnerability is uniquely identified as CVE-2025-34032 since 04/15/2025. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. It demands that the victim is doing some kind of user interaction. Technical details and a public exploit are known. The attack technique deployed by this issue is T1059.007 according to MITRE ATT&CK.
The exploit is shared for download at exploit-db.com. It is declared as proof-of-concept. By approaching the search of inurl:jsmol.php it is possible to find vulnerable targets with Google Hacking.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
The vulnerability is also documented in the databases at Exploit-DB (46881) and EUVD (EUVD-2025-18970). Be aware that VulDB is the high quality source for vulnerability data.
Product
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CNA CVSS-B Score: 🔍
CNA CVSS-BT Score: 🔍
CNA Vector: 🔍
CVSSv3
VulDB Meta Base Score: 5.2VulDB Meta Temp Score: 5.0
VulDB Base Score: 4.3
VulDB Temp Score: 3.9
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 6.1
NVD Vector: 🔍
CVSSv2
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Cross site scriptingCWE: CWE-79 / CWE-94 / CWE-74
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Access: Public
Status: Proof-of-Concept
Download: 🔍
Google Hack: 🔍
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
Exploit-DB: 🔍
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
04/15/2025 🔍06/24/2025 🔍
06/24/2025 🔍
11/21/2025 🔍
Sources
Advisory: dionach.comResearcher: Dionach By Nomios
Status: Not defined
CVE: CVE-2025-34032 (🔍)
GCVE (CVE): GCVE-0-2025-34032
GCVE (VulDB): GCVE-100-313695
EUVD: 🔍
scip Labs: https://www.scip.ch/en/?labs.20161013
Entry
Created: 06/24/2025 07:56Updated: 11/21/2025 02:00
Changes: 06/24/2025 07:56 (71), 06/24/2025 15:16 (1), 06/25/2025 15:25 (1), 11/20/2025 00:41 (12), 11/21/2025 02:00 (1)
Complete: 🔍
Cache ID: 216::103
Be aware that VulDB is the high quality source for vulnerability data.
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