Autolab 3.0.1 gradesheet.js.erb cross site scripting
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.2 | $0-$5k | 0.00 |
Summary
A vulnerability was found in Autolab 3.0.1. It has been rated as problematic. The impacted element is an unknown function of the file gradesheet.js.erb. This manipulation causes cross site scripting. This vulnerability is handled as CVE-2024-52585. The attack can be initiated remotely. There is not any exploit available. Upgrading the affected component is advised.
Details
A vulnerability has been found in Autolab 3.0.1 and classified as problematic. Affected by this vulnerability is an unknown function of the file gradesheet.js.erb. 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:
Autolab is a course management service that enables auto-graded programming assignments. There is an HTML injection vulnerability in version 3.0.1 that can affect instructors and CAs on the grade submissions page. The issue is patched in version 3.0.2. One may apply the patch manually by editing line 589 on `gradesheet.js.erb` to take in feedback as text rather than html.
The advisory is shared at github.com. This vulnerability is known as CVE-2024-52585 since 11/14/2024. The exploitation appears to be easy. The attack can be launched remotely. It demands that the victim is doing some kind of user interaction. Technical details are known, but no exploit is available. MITRE ATT&CK project uses the attack technique T1059.007 for this issue.
Upgrading to version 3.0.2 eliminates this vulnerability. Applying the patch 2429983b6caa245fea1b37f0dc236ccbcad9554c is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
Product
Name
Version
License
Website
- Product: https://github.com/autolab/Autolab/
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: 4.4VulDB Meta Temp Score: 4.2
VulDB Base Score: 3.5
VulDB Temp Score: 3.1
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 5.4
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: 🔍
Status: Unproven
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔍
Upgrade: Autolab 3.0.2
Patch: 2429983b6caa245fea1b37f0dc236ccbcad9554c
Timeline
11/14/2024 🔍11/18/2024 🔍
11/18/2024 🔍
01/22/2025 🔍
Sources
Product: github.comAdvisory: GHSA-8qhp-jhhw-45r2
Status: Confirmed
CVE: CVE-2024-52585 (🔍)
GCVE (CVE): GCVE-0-2024-52585
GCVE (VulDB): GCVE-100-285061
Entry
Created: 11/18/2024 22:54Updated: 01/22/2025 05:28
Changes: 11/18/2024 22:54 (70), 11/19/2024 07:37 (2), 01/22/2025 05:28 (12)
Complete: 🔍
Cache ID: 216::103
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
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