EUVD-2024-2025

Malicious code in bioql PyPI...

CVE-2024-6095

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 https:// and file:// schemes, where the latter can lead to LFI. However, the output is limited due to the...

CVE-2024-3135

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 ...

SUSE CVE-2024-9900

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...

CVE-2024-9900 Cross-Site Scripting (XSS) in mudler/localai

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...

CVE-2024-9900 Cross-Site Scripting (XSS) in mudler/localai

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...

CVE-2024-9900

LocalAI (github.com/mudler/LocalAI) is affected by a Cross-Site Scripting (XSS) vulnerability in its search functionality. The CVE-2024-9900 entry cites v2.21.1 as vulnerable, due to improper sanitization of user input, enabling injection and execution of arbitrary JavaScript in the victim’s brow...

PT-2025-12295 · Unknown · Mudler/Localai

Name of the Vulnerable Software and Affected Versions: mudler/localai version v2.21.1 mudler/localai versions prior to v2.22.0 Description: The issue arises due to improper sanitization of user input, allowing the injection and execution of arbitrary JavaScript code. This can lead to the executio...

CVE-2024-6983

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...

CVE-2024-7010

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...

CVE-2024-7010

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...

CVE-2024-6868

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 perfor...

CVE-2024-6868

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 perfor...

CVE-2024-7010

The CVE-2024-7010 entry concerns mudler/localai version 2.17.1 and a Timing Attack vulnerability in password handling that leaks credentials by measuring cryptographic operation timing. This is a network-accessible side-channel issue with reported confidentiality impact, and multiple sources (NVD...

CVE-2024-7010 Timing Attack in mudler/localai

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...

CVE-2024-7010 Timing Attack in mudler/localai

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...

CVE-2024-6868 Arbitrary File Write in mudler/LocalAI

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 perfor...

CVE-2024-6868

CVE-2024-6868 affects mudler/LocalAI (version 2.17.1). The issue is improper handling of automatic archive extraction when model configurations specify archives (for example, .tar), causing archives to be extracted after download and enabling a potentially destructive “tarslip” that can write fil...

CVE-2024-6868 Arbitrary File Write in mudler/LocalAI

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 perfor...

PT-2024-37915 · Unknown · Mudler/Localai

Name of the Vulnerable Software and Affected Versions: mudler/LocalAI version 2.17.1 Description: The issue arises from improper handling of automatic archive extraction in model configurations. When archives e.g., .tar are specified, they are automatically extracted after downloading, potentiall...