| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.7 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in Moodle and classified as problematic. Affected by this issue is some unknown functionality of the component LTI Module. The manipulation leads to cross site scripting. This vulnerability is traded as CVE-2022-35653. It is possible to initiate the attack remotely. There is no exploit available. To fix this issue, it is recommended to deploy a patch.
Details
A vulnerability was found in Moodle (Learning Management Software) (the affected version unknown). It has been rated as problematic. This issue affects an unknown part of the component LTI Module. The manipulation with an unknown input leads to a cross site scripting vulnerability. Using CWE to declare the problem leads to 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. Impacted is integrity. The summary by CVE is:
A reflected XSS issue was identified in the LTI module of Moodle. The vulnerability exists due to insufficient sanitization of user-supplied data in the LTI module. A remote attacker can trick the victim to follow a specially crafted link and execute arbitrary HTML and script code in user's browser in context of vulnerable website to steal potentially sensitive information, change appearance of the web page, can perform phishing and drive-by-download attacks. This vulnerability does not impact authenticated users.
The weakness was shared 07/26/2022. It is possible to read the advisory at git.moodle.org. The identification of this vulnerability is CVE-2022-35653 since 07/12/2022. 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.
The vulnerability scanner Nessus provides a plugin with the ID 261458 (Linux Distros Unpatched Vulnerability : CVE-2022-35653), which helps to determine the existence of the flaw in a target environment.
Applying a patch is able to eliminate this problem. The bugfix is ready for download at git.moodle.org.
The vulnerability is also documented in the vulnerability database at Tenable (261458). 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: 4.8VulDB Meta Temp Score: 4.7
VulDB Base Score: 3.5
VulDB Temp Score: 3.4
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 6.1
NVD 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 scriptingCWE: 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: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
|---|---|---|---|---|
| Today | Unlock | Unlock | Unlock | Unlock |
Nessus ID: 261458
Nessus Name: Linux Distros Unpatched Vulnerability : CVE-2022-35653
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: PatchStatus: 🔍
0-Day Time: 🔍
Patch: git.moodle.org
Timeline
07/12/2022 🔍07/26/2022 🔍
07/26/2022 🔍
09/06/2025 🔍
Sources
Product: moodle.orgAdvisory: FEDORA-2022-7e7ce7df2e
Status: Confirmed
CVE: CVE-2022-35653 (🔍)
GCVE (CVE): GCVE-0-2022-35653
GCVE (VulDB): GCVE-100-205019
Entry
Created: 07/26/2022 15:51Updated: 09/06/2025 00:19
Changes: 07/26/2022 15:51 (39), 08/27/2022 09:02 (1), 08/27/2022 09:07 (11), 09/06/2025 00:19 (16)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
No comments yet. Languages: en.
Please log in to comment.