Autolab download_all_submissions private personal information

Summaryinfo

A vulnerability classified as problematic has been found in Autolab. Affected by this vulnerability is the function download_all_submissions. This manipulation causes private personal information. This vulnerability appears as CVE-2024-53258. The attack may be initiated remotely. There is no available exploit. It is suggested to install a patch to address this issue.

Detailsinfo

A vulnerability has been found in Autolab (version now known) and classified as problematic. Affected by this vulnerability is the function download_all_submissions. The manipulation with an unknown input leads to a private personal information vulnerability. The CWE definition for the vulnerability is CWE-359. The product does not properly prevent a person's private, personal information from being accessed by actors who either (1) are not explicitly authorized to access the information or (2) do not have the implicit consent of the person about whom the information is collected. As an impact it is known to affect confidentiality. The summary by CVE is:

Autolab is a course management service that enables auto-graded programming assignments. From Autolab versions v.3.0.0 onward students can download all assignments from another student, as long as they are logged in, using the download_all_submissions feature. This can allow for leakage of submissions to unauthorized users, such as downloading submissions from other students in the class, or even instructor test submissions, given they know their user IDs. This issue has been patched in commit `1aa4c769` which is not yet in a release version, but is expected to be included in version 3.0.3. Users are advised to either manually patch or to wait for version 3.0.3. As a workaround administrators can disable the feature.

The advisory is shared at github.com. This vulnerability is known as CVE-2024-53258 since 11/19/2024. The exploitation appears to be easy. The attack can be launched remotely. Technical details are known, but no exploit is available. MITRE ATT&CK project uses the attack technique T1589 for this issue.

Applying the patch 1aa4c769 is able to eliminate this problem.

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

Productinfo

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• Autolab

Website

• Product: https://github.com/autolab/Autolab/

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Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

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