A stored cross-site scripting (XSS) vulnerability exists in the Latex Proof-Reading Module of binary-husky/gpt_academic version 3.9.0. This vulnerability allows an attacker to inject malicious scripts into the debug_log.html file generated by the module. When an admin visits this debug report, the injected scripts can execute, potentially leading to unauthorized actions and data access.
This issue can be reached over the network, attack complexity is low, an attacker needs low-level privileges on the target. A user must be tricked into taking some action. The scope is changed, meaning a successful attack can affect components beyond the vulnerable one. Rated impact: confidentiality low, integrity low, availability none.
The score comes from this vector: CVSS:3.0/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N
CVE-2025-0183 is classified as CWE-79: Cross-site Scripting (XSS). User-supplied data is written into a page without escaping, so attacker script runs in the browser of anyone who views it.
CVE-2025-0183 is recorded against 1 package.
Published on 20 March 2025 and last revised on 17 June 2026. A public exploit is known to exist, which raises the urgency of patching considerably. Record sourced from NVD.
gpt-academic has other advisories on record. If you are patching this one, these are worth checking on the same host:
These advisories are the same class of weakness (CWE-79: Cross-site Scripting (XSS)) in other software:
Details
CVSS:3.0/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N
Affected Packages
| Software | From version | Fixed in |
|---|---|---|
| gpt-academic | — | — |
References
Similar Threats
Exploit Protection
CVE-2025-0183 carries CVSS 5.4 Medium rating and a public exploit already exists. BotEraser checks your installation against this and other known CVE records, and blocks IPs associated with exploit activity.
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