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CVE-2024-10986VulnerabilityPublished Updated

CVE-2024-10986: binary-husky/gpt_academic · Improper Link Resolution Before File Access

Affects binary-husky/gpt_academicSource CVE Database V5

0

Not known to be exploited · CVSS 8.8 High.

Data as of 25 Oct 2026, 19:02 UTC

CVSS 3.0 base score
8.8High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.8% chance of exploitation in 30 days – higher than 57% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 20 Mar 2025

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 2026-10-25.

What to do

Affected software

ProductAffectedFixed in
GitHubbinary-husky/gpt_academicpkg:github/binary-husky/gpt_academicOther threatsAffected
  • =3.83
Fixed in–

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

Immediate mitigation steps include disabling the HotReload feature until a patch is available. Organizations should audit and restrict the sources from which tar.gz files are downloaded, limiting them strictly to trusted repositories. Implementing stricter validation and sanitization of archive contents before extraction is critical, including rejecting archives containing symbolic links or enforcing extraction within sandboxed directories. Employing filesystem access controls to limit the application's read permissions can reduce exposure. Monitoring logs for unusual archive extraction activity or file access patterns can help detect exploitation attempts. Finally, organizations should engage with the vendor or community to obtain patches or updates addressing the Tarslip vulnerability and apply them promptly once released.

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.

References

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