Vulnerability · Published Mar 20, 2025 · Assigned by @huntr_ai

CVE-2024-10986Local File Read (LFI) by Tarslip Symlink via arxiv_download() API in binary-husky/gpt_academic

High 8.8

In plain English

A high-severity security flaw in binary-husky/gpt_academic from binary-husky. Proof-of-concept exploit code is public. The chance it is exploited in the next 30 days is estimated at 0.8% (higher than 58% of all known vulnerabilities).

Severity (CVSS 3.0)8.8High

Exploit odds (30 days)0.8%top 42.2% of all CVEs

Exploited in the wildNo reportsCISA SSVC: poc

Attack toolingNoneno public tooling known

Official description

GPT Academic version 3.83 is vulnerable to a Local File Read (LFI) vulnerability through its HotReload function. This function can download and extract tar.gz files from arxiv.org. Despite implementing protections against path traversal, the application overlooks the Tarslip triggered by symlinks. This oversight allows attackers to read arbitrary local files from the victim server.

Affected products (as reported)

Vendor	Product	Versions
binary-husky	binary-husky/gpt_academic	unspecified – through latest

Weakness: CWE-59 · Vector: CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

References

https://huntr.com/bounties/db2167f5-f17f-491d-aeec-69ba55bf6427