CVE-2025-0183
Published: 20 March 2025
Summary
CVE-2025-0183 is a medium-severity Cross-site Scripting (CWE-79) vulnerability in Binary-Husky Gpt Academic. Its CVSS base score is 5.4 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique HTML Smuggling (T1027.006); ranked at the 31.6th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-6830
Vulnerability details
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,…
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the injected scripts can execute, potentially leading to unauthorized actions and data access.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
Stored XSS allows injection of malicious JavaScript into debug_log.html, enabling HTML smuggling for obfuscation (T1027.006), JavaScript execution (T1059.007), and exploitation for client-side code execution leading to unauthorized actions (T1203).
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Penetration testing submits XSS payloads to web applications, detecting cross-site scripting flaws for subsequent remediation.
Validates web inputs to reject script-related content that could produce XSS.
Output validation against expected content can reject or sanitize script content in generated web pages, reducing XSS exploitability.