Tag
#vulnerability
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
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.
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.
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.
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.
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.
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.
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.
An arbitrary code execution vulnerability exists in versions 0.0.8 and newer of the Refuel Autolabel library because of the way its multilabel classification tasks handle provided CSV files. If a user creates a multilabel classification task using a maliciously crafted CSV file containing Python code, the code will be passed to an eval function which executes it.
An arbitrary code execution vulnerability exists in versions 0.0.8 and newer of the Refuel Autolabel library because of the way its classification tasks handle provided CSV files. If a victim user creates a classification task using a maliciously crafted CSV file containing Python code, the code will be passed to an eval function which executes it.