CVE-2023-34251
Grav Remote Code Execution via Server-Side Template Injection
Description
Grav is a flat-file content management system. Versions prior to 1.7.42 are vulnerable to server side template injection. Remote code execution is possible by embedding malicious PHP code on the administrator screen by a user with page editing privileges. Version 1.7.42 contains a fix for this issue.
INFO
Published Date :
June 14, 2023, 10:15 p.m.
Last Modified :
June 22, 2023, 9:11 p.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
6.0
Exploitability Score :
3.1
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-2023-34251.
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-2023-34251 vulnerability anywhere in the article.
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Cybersecurity News
166k+ Projects at Risk: AutoGPT’s Critical Vulnerability Explained – CVE-2024-6091 (CVSS 9.8)
A significant security vulnerability has been discovered in AutoGPT, a powerful AI tool designed to automate tasks through intelligent agents. With over 166k stars on GitHub, AutoGPT has gained popula ... Read more
The following table lists the changes that have been made to the
CVE-2023-34251 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.
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CVE Modified by [email protected]
May. 14, 2024
Action Type Old Value New Value -
Initial Analysis by [email protected]
Jun. 22, 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/getgrav/grav/blob/develop/system/src/Grav/Common/Twig/Extension/GravExtension.php#L174 No Types Assigned https://github.com/getgrav/grav/blob/develop/system/src/Grav/Common/Twig/Extension/GravExtension.php#L174 Vendor Advisory Changed Reference Type https://github.com/getgrav/grav/commit/9d01140a63c77075ef09b26ef57cf186138151a5 No Types Assigned https://github.com/getgrav/grav/commit/9d01140a63c77075ef09b26ef57cf186138151a5 Patch Changed Reference Type https://github.com/getgrav/grav/security/advisories/GHSA-f9jf-4cp4-4fq5 No Types Assigned https://github.com/getgrav/grav/security/advisories/GHSA-f9jf-4cp4-4fq5 Exploit, Vendor Advisory Added CPE Configuration OR *cpe:2.3:a:getgrav:grav:*:*:*:*:*:*:*:* versions up to (excluding) 1.7.42 -
CVE Modified by [email protected]
Jun. 14, 2023
Action Type Old Value New Value Changed Description Grav is a file-based Web platform. Versions prior to 1.7.42 are vulnerable to server side template injection. Remote code execution is possible by embedding malicious PHP code on the administrator screen by a user with page editing privileges. Version 1.7.42 contains a fix for this issue. Grav is a flat-file content management system. Versions prior to 1.7.42 are vulnerable to server side template injection. Remote code execution is possible by embedding malicious PHP code on the administrator screen by a user with page editing privileges. Version 1.7.42 contains a fix for this issue.
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2023-34251 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-2023-34251
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.39 }} 0.22%
score
0.73447
percentile