CVE-2023-32317
Autolab MOSS Cheat Checker Tar Slip Vulnerability
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.
INFO
Published Date :
May 26, 2023, 11:15 p.m.
Last Modified :
Dec. 11, 2023, 7:15 p.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
5.9
Exploitability Score :
1.2
References to Advisories, Solutions, and Tools
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2023-32317.
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2023-32317 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2023-32317 vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
-
CVE Modified by [email protected]
May. 14, 2024
Action Type Old Value New Value -
CVE Modified by [email protected]
Dec. 11, 2023
Action Type Old Value New Value Added Reference GitHub, Inc. https://securitylab.github.com/advisories/GHSL-2023-081_GHSL-2023-082_Autolab/ [No types assigned] -
Initial Analysis by [email protected]
Jun. 03, 2023
Action Type Old Value New Value Added CVSS V3.1 NIST AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H Changed Reference Type https://github.com/autolab/Autolab/commit/410a9228ee265f80692334d75eb2c3b4dac6f9e5 No Types Assigned https://github.com/autolab/Autolab/commit/410a9228ee265f80692334d75eb2c3b4dac6f9e5 Patch Changed Reference Type https://github.com/autolab/Autolab/security/advisories/GHSA-h8g5-vhm4-wx6g No Types Assigned https://github.com/autolab/Autolab/security/advisories/GHSA-h8g5-vhm4-wx6g Vendor Advisory Added CWE NIST CWE-22 Added CPE Configuration OR *cpe:2.3:a:autolabproject:autolab:*:*:*:*:*:*:*:* versions up to (excluding) 2.11.0
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2023-32317 is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2023-32317
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.19 }} 0.01%
score
0.57817
percentile