A Cross-Site Request Forgery (CSRF) vulnerability in version 3.83 of binary-husky/gpt_academic allows an attacker to trick a user into uploading files without their consent, exploiting their session. This can lead to unauthorized file uploads and potential system compromise. The uploaded file can contain malicious scripts, leading to stored Cross-Site Scripting (XSS) attacks. Through stored XSS, an attacker can steal information about the victim and perform any action on their behalf.
Metrics
Affected Vendors & Products
References
History
Thu, 20 Mar 2025 19:15:00 +0000
Type | Values Removed | Values Added |
---|---|---|
Metrics |
ssvc
|
Thu, 20 Mar 2025 10:15:00 +0000
Type | Values Removed | Values Added |
---|---|---|
Description | A Cross-Site Request Forgery (CSRF) vulnerability in version 3.83 of binary-husky/gpt_academic allows an attacker to trick a user into uploading files without their consent, exploiting their session. This can lead to unauthorized file uploads and potential system compromise. The uploaded file can contain malicious scripts, leading to stored Cross-Site Scripting (XSS) attacks. Through stored XSS, an attacker can steal information about the victim and perform any action on their behalf. | |
Title | CSRF to XSS in binary-husky/gpt_academic | |
Weaknesses | CWE-352 | |
References |
| |
Metrics |
cvssV3_0
|

Status: PUBLISHED
Assigner: @huntr_ai
Published: 2025-03-20T10:10:26.197Z
Updated: 2025-03-20T18:21:34.951Z
Reserved: 2024-11-04T19:03:48.403Z
Link: CVE-2024-10819

Updated: 2025-03-20T17:48:38.307Z

Status : Received
Published: 2025-03-20T10:15:20.010
Modified: 2025-03-20T10:15:20.010
Link: CVE-2024-10819

No data.