CVE-2024-10819
highpriority · track · 35EPSS 0.002 · 15 %ileEUUSEPSS · scored 2026-10-27
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.
cvss
Technical severity, 0–10. One row per scoring source.
base score 0–10 · higher = more severe · hover a vector to decode
ssvc
A stakeholder decision — act, attend, or track — from exploitation and impact.
weaknesses
The CWE weakness classes this flaw belongs to.
affected products (2)
Products and version ranges known to be affected.
also known as (3)
Other names and identifiers for this entity.
sources
Which sources assert this record, and when.
references (4)
External citations — patches, advisories, analysis.
- https://github.com/binary-husky/gpt_academic/releases/tag/version3.91Patchcnnvd
- https://huntr.com/bounties/45270c4b-a500-4374-a90b-37b604a3ace0cnnvd
- https://huntr.com/bounties/45270c4b-a500-4374-a90b-37b604a3ace0enisa_euvd
- https://huntr.com/bounties/45270c4b-a500-4374-a90b-37b604a3ace0ExploitThird Party Advisorynvd
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