Vulnerabilidades

LocalAI contains an unauthenticated server-side request forgery vulnerability in the POST /models/apply endpoint that allows attackers to fetch arbitrary internal URLs. The endpoint passes unsanitized gallery URL fields directly to gallery.GetGalleryConfigFromURLWithContext without proper validation, enabling…

mudler/localai version v2.21.1 contains a Cross-Site Scripting (XSS) vulnerability in its search functionality. The vulnerability arises due to improper sanitization of user input, allowing the injection and execution of arbitrary JavaScript code. This can lead to the execution of malicious scripts in the context of…

localai <=2.20.1 is vulnerable to Cross Site Scripting (XSS). When calling the delete model API and passing inappropriate parameters, it can cause a one-time storage XSS, which will trigger the payload when a user accesses the homepage.

mudler/localai version 2.17.1 is vulnerable to a Timing Attack. This type of side-channel attack allows an attacker to compromise the cryptosystem by analyzing the time taken to execute cryptographic algorithms. Specifically, in the context of password handling, an attacker can determine valid login credentials based…

mudler/LocalAI version 2.17.1 allows for arbitrary file write due to improper handling of automatic archive extraction. When model configurations specify additional files as archives (e.g., .tar), these archives are automatically extracted after downloading. This behavior can be exploited to perform a 'tarslip'…

mudler/localai version 2.17.1 is vulnerable to remote code execution. The vulnerability arises because the localai backend receives inputs not only from the configuration file but also from other inputs, allowing an attacker to upload a binary file and execute malicious code. This can lead to the attacker gaining full…

A vulnerability in the /models/apply endpoint of mudler/localai versions 2.15.0 allows for Server-Side Request Forgery (SSRF) and partial Local File Inclusion (LFI). The endpoint supports both http(s):// and file:// schemes, where the latter can lead to LFI. However, the output is limited due to the length of the…

A Cross-Site Request Forgery (CSRF) vulnerability exists in mudler/LocalAI versions up to and including 2.15.0, which allows attackers to trick victims into deleting installed models. By crafting a malicious HTML page, an attacker can cause the deletion of a model, such as 'gpt-4-vision-preview', without the victim's…

A command injection vulnerability exists in the mudler/localai version 2.14.0. The vulnerability arises from the application's handling of the backend parameter in the configuration file, which is used in the name of the initialized process. An attacker can exploit this vulnerability by manipulating the path of the…

A path traversal vulnerability exists in mudler/localai version 2.14.0, where an attacker can exploit the `model` parameter during the model deletion process to delete arbitrary files. Specifically, by crafting a request with a manipulated `model` parameter, an attacker can traverse the directory structure and target…

A command injection vulnerability exists in the `TranscriptEndpoint` of mudler/localai, specifically within the `audioToWav` function used for converting audio files to WAV format for transcription. The vulnerability arises due to the lack of sanitization of user-supplied filenames before passing them to ffmpeg via a…

A Cross-Site Request Forgery (CSRF) vulnerability exists in the mudler/localai application, allowing attackers to craft malicious webpages that, when visited by a victim, perform unauthorized actions on the victim's local LocalAI instance without their consent. This vulnerability enables attackers to exhaust system…