| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 3.9 | $0-$5k | 0.00 |
Summary
A vulnerability identified as problematic has been detected in Moodle. This vulnerability affects unknown code of the component User Tours Manager. Performing a manipulation results in cross-site request forgery. This vulnerability is cataloged as CVE-2025-3635. It is possible to initiate the attack remotely. There is no exploit available.
Details
A vulnerability was found in Moodle (affected version not known). It has been classified as problematic. This affects some unknown functionality of the component User Tours Manager. The manipulation with an unknown input leads to a cross-site request forgery vulnerability. CWE is classifying the issue as CWE-352. The web application does not, or can not, sufficiently verify whether a well-formed, valid, consistent request was intentionally provided by the user who submitted the request. This is going to have an impact on integrity. The summary by CVE is:
A security vulnerability was discovered in Moodle that allows anyone to duplicate existing tours without needing to log in due to a lack of protection against cross-site request forgery (CSRF) attacks.
It is possible to read the advisory at bugzilla.redhat.com. This vulnerability is uniquely identified as CVE-2025-3635 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. The technical details are unknown and an exploit is not publicly available. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 09/08/2025).
The vulnerability scanner Nessus provides a plugin with the ID 261479 (Linux Distros Unpatched Vulnerability : CVE-2025-3635), which helps to determine the existence of the flaw in a target environment.
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 vulnerability database at Tenable (261479). Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Name
License
Website
- Product: https://moodle.org/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 3.9VulDB Meta Temp Score: 3.9
VulDB Base Score: 4.3
VulDB Temp Score: 4.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
CNA Base Score: 3.5
CNA Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Cross-site request forgeryCWE: CWE-352 / CWE-862 / CWE-863
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Nessus ID: 261479
Nessus Name: Linux Distros Unpatched Vulnerability : CVE-2025-3635
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
04/15/2025 🔍04/22/2025 🔍
04/23/2025 🔍
09/08/2025 🔍
Sources
Product: moodle.orgAdvisory: bugzilla.redhat.com
Status: Not defined
CVE: CVE-2025-3635 (🔍)
GCVE (CVE): GCVE-0-2025-3635
GCVE (VulDB): GCVE-100-305979
Entry
Created: 04/23/2025 01:36Updated: 09/08/2025 03:36
Changes: 04/23/2025 01:36 (50), 06/24/2025 22:33 (13), 09/08/2025 03:36 (2)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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