PriBAI Technologies PrivateGPT 0.5.0

An XSS vulnerability was discovered in the upload file(s) process of imartinez/privategpt v0.5.0. Attackers can upload malicious SVG files, which execute JavaScript when victims click on the file link. This can lead to user data theft, session hijacking, malware distribution, and phishing attacks.

Published: 2025-03-20T10:09:21.980Z
Updated: 2025-03-20T18:55:55.477Z

A vulnerability in imartinez/privategpt version 0.5.0 allows for a Denial of Service (DOS) attack. When uploading a file, if an attacker appends a large number of characters to the end of a multipart boundary, the system will continuously process these characters, rendering privateGPT inaccessible. This uncontrolled resource consumption can lead to prolonged unavailability of the service, disrupting operations and causing potential data inaccessibility and loss of productivity.

Published: 2025-03-20T10:10:31.431Z
Updated: 2025-10-15T12:49:53.530Z

An open redirect vulnerability exists in imartinez/privategpt version 0.5.0 due to improper handling of the 'file' parameter. This vulnerability allows attackers to redirect users to a URL specified by user-controlled input without proper validation or sanitization. The impact of this vulnerability includes potential phishing attacks, malware distribution, and credential theft.

Published: 2024-06-27T18:45:31.598Z
Updated: 2024-08-01T21:25:03.038Z

A Cross-Site Request Forgery (CSRF) vulnerability in version 0.5.0 of imartinez/privategpt allows an attacker to delete all uploaded files on the server. This can lead to data loss and service disruption for the application's users.

Published: 2024-06-27T18:45:51.085Z
Updated: 2024-08-01T21:25:03.181Z

A Server-Side Request Forgery (SSRF) vulnerability exists in the file upload section of imartinez/privategpt version 0.5.0. This vulnerability allows attackers to send crafted requests that could result in unauthorized access to the local network and potentially sensitive information. Specifically, by manipulating the 'path' parameter in a file upload request, an attacker can cause the application to make arbitrary requests to internal services, including the AWS metadata endpoint. This issue could lead to the exposure of internal servers and sensitive data.

Published: 2024-06-06T18:19:57.023Z
Updated: 2024-08-01T21:03:11.037Z