Large Language And Vision Assistant

A Cross-Site Request Forgery (CSRF) vulnerability in haotian-liu/llava v1.2.0 (LLaVA-1.6) allows an attacker to upload files with malicious content without authentication or user interaction. The uploaded file is stored in a predictable path, enabling the attacker to execute arbitrary JavaScript code in the context of the victim's browser by visiting the crafted file URL. This can lead to theft of sensitive information, session hijacking, or other actions compromising the security and privacy of the victim.

Published: 2025-03-20T10:10:24.186Z
Updated: 2025-10-15T12:50:46.202Z

A Denial of Service (DoS) vulnerability exists in the file upload feature of haotian-liu/llava, specifically in Release v1.2.0 (LLaVA-1.6). The vulnerability is due to improper handling of form-data with a large filename in the file upload request. By sending a payload with an excessively large filename, the server becomes overwhelmed and unresponsive, leading to unavailability for legitimate users. This issue can be exploited without authentication, making it highly scalable and increasing the risk of exploitation.

Published: 2025-03-20T10:11:17.105Z
Updated: 2025-03-20T13:12:00.420Z

A vulnerability in haotian-liu/llava version 1.2.0 (LLaVA-1.6) allows for Server-Side Request Forgery (SSRF) through the /run/predict endpoint. An attacker can gain unauthorized access to internal networks or the AWS metadata endpoint by sending crafted requests that exploit insufficient validation of the path parameter. This flaw can lead to unauthorized network access, sensitive data exposure, and further exploitation within the network.

Published: 2025-03-20T10:08:53.650Z
Updated: 2025-03-20T19:01:08.620Z