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SPIP BigUp 4.3.1 / 4.2.15 / 4.1.17 Unauthenticated Remote Code Execution

This Metasploit module exploits a Remote Code Execution vulnerability in the BigUp plugin of SPIP. The vulnerability lies in the lister_fichiers_par_champs function, which is triggered when the bigup_retrouver_fichiers parameter is set to any value. By exploiting the improper handling of multipart form data in file uploads, an attacker can inject and execute arbitrary PHP code on the target server. This critical vulnerability affects all versions of SPIP from 4.0 up to and including 4.3.1, 4.2.15, and 4.1.17. It allows unauthenticated users to execute arbitrary code remotely via the public interface. The vulnerability has been patched in versions 4.3.2, 4.2.16, and 4.1.18.

Packet Storm
#csrf#vulnerability#windows#linux#git#php#rce#xpath#auth
UnRAR Path Traversal

This Metasploit module creates a RAR file that exploits CVE-2022-30333, which is a path-traversal vulnerability in unRAR that can extract an arbitrary file to an arbitrary location on a Linux system. UnRAR fixed this vulnerability in version 6.12 (open source version 6.1.7). The core issue is that when a symbolic link is unRARed, Windows symbolic links are not properly validated on Linux systems and can therefore write a symbolic link that points anywhere on the filesystem. If a second file in the archive has the same name, it will be written to the symbolic link path.

Urgent: GitLab Patches Critical Flaw Allowing Unauthorized Pipeline Job Execution

GitLab on Wednesday released security updates to address 17 security vulnerabilities, including a critical flaw that allows an attacker to run pipeline jobs as an arbitrary user. The issue, tracked as CVE-2024-6678, carries a CVSS score of 9.9 out of a maximum of 10.0 "An issue was discovered in GitLab CE/EE affecting all versions starting from 8.14 prior to 17.1.7, starting from 17.2 prior to

GHSA-7vhj-pfwv-hx3w: MindsDB Deserialization of Untrusted Data vulnerability

Deserialization of untrusted data can occur in versions 23.3.2.0 and newer of the MindsDB platform, enabling a maliciously uploaded model to run arbitrary code on the server when interacted with.

GHSA-q9r8-89xr-4xv4: MindsDB Deserialization of Untrusted Data vulnerability

Deserialization of untrusted data can occur in versions 23.10.2.0 and newer of the MindsDB platform, enabling a maliciously uploaded ‘inhouse’ model to run arbitrary code on the server when used for a prediction.

GHSA-7vhh-gfjc-x8rm: MindsDB Deserialization of Untrusted Data vulnerability

Deserialization of untrusted data can occur in versions 23.10.3.0 and newer of the MindsDB platform, enabling a maliciously uploaded ‘inhouse’ model to run arbitrary code on the server when a ‘describe’ query is run on it.

GHSA-8cm9-rrgc-4pcj: Cleanlab Deserialization of Untrusted Data vulnerability

Deserialization of untrusted data can occur in versions 2.4.0 or newer of the Cleanlab project, enabling a maliciously crafted datalab.pkl file to run arbitrary code on an end user’s system when the data directory is loaded.

GHSA-fr9q-rgwq-g5r5: MindsDB Deserialization of Untrusted Data vulnerability

Deserialization of untrusted data can occur in versions 23.10.2.0 and newer of the MindsDB platform, enabling a maliciously uploaded ‘inhouse’ model to run arbitrary code on the server when using ‘finetune’ on it.

GHSA-32fj-r8qw-r8w8: MindsDB Cross-site Scripting vulnerability

A cross-site scripting (XSS) vulnerability exists in all versions of the MindsDB platform, enabling the execution of a JavaScript payload whenever a user enumerates an ML Engine, database, project, or dataset containing arbitrary JavaScript code within the web UI.

GHSA-wf9g-c67g-h4ch: MindsDB Eval Injection vulnerability

An arbitrary code execution vulnerability exists in versions 23.10.5.0 up to 24.7.4.1 of the MindsDB platform, when the Microsoft SharePoint integration is installed on the server. For databases created with the SharePoint engine, an ‘INSERT’ query can be used for list item creation. If such a query is specially crafted to contain Python code and is run against the database, the code will be passed to an eval function and executed on the server.