CVE-2024-12387
Published: 20 March 2025
Summary
CVE-2024-12387 is a medium-severity Data Amplification (CWE-409) vulnerability in Binary-Husky Gpt Academic. Its CVSS base score is 6.5 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Application or System Exploitation (T1499.004); ranked in the top 35.0% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-7020
Vulnerability details
A vulnerability in the binary-husky/gpt_academic repository, as of commit git 3890467, allows an attacker to crash the server by uploading a specially crafted zip bomb. The server decompresses the uploaded file and attempts to load it into memory, which can…
more
lead to an out-of-memory crash. This issue arises due to improper input validation when handling compressed file uploads.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
The vulnerability enables denial of service by exploiting improper handling of compressed file uploads (zip bomb), causing out-of-memory crashes via application exploitation.
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.
Limits effects of data amplification from compressed or malicious inputs.