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CVE-2023-32317

6.7 · MEDIUM

Autolab is a course management service that enables auto-graded programming assignments.

Published May 26, 2023CWE-22EPSS 0.89%

Overview

CVE-2023-32317 is a medium-severity vulnerability. It was published on May 26, 2023 and has a CVSS 3.1 base score of 6.7 (MEDIUM).

This vulnerability has a CVSS 3.1 base score of 6.7, rated MEDIUM. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

Technical description

Autolab is a course management service that enables auto-graded programming assignments. A Tar slip vulnerability was found in the MOSS cheat checker functionality of Autolab. To exploit this vulnerability an authenticated attacker with instructor permissions needs to upload a specially crafted Tar file. Both "Base File Tar" and "Additional file archive" can be fed with Tar files that contain paths outside their target directories (e.g., `../../../../tmp/tarslipped2.sh`). When the MOSS cheat checker is started the files inside of the archives are expanded to the attacker-chosen locations. This issue may lead to arbitrary file write within the scope of the running process. This issue has been addressed in version 2.11.0. Users are advised to upgrade.

Remediation

Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

Frequently asked questions

What is CVE-2023-32317?

CVE-2023-32317 is a medium-severity vulnerability. It was published on May 26, 2023 and has a CVSS 3.1 base score of 6.7 (MEDIUM).

How severe is CVE-2023-32317?

This vulnerability has a CVSS 3.1 base score of 6.7, rated MEDIUM. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2023-32317?

Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

How can CyberStrike help with CVE-2023-32317?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2023-32317 is actually reachable in your own applications and APIs, then verifies each finding before reporting it. That tells you if the weakness is a real, exploitable risk in your environment or a false positive you can safely deprioritize.

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