Security Resilience

CVE-2024-12387

Binary-Husky Gpt Academic 2024-10-15

Public PoC
Published
20 March 2025
Modified
15 October 2025
CVSS Score v3 6.5
Click a component to see what it means
Raw vectorCVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
EPSS Score 0.0074 54th percentile
Risk Priority 51 floored blend · peak EPSS

CVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.

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 Junk Data (T1001.001); ranked in the top 46% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

The strongest mitigations our analysis identified map to SI-10 (Information Input Validation) and SC-5 (Denial-of-service Protection) — see the control section below for these in your framework.

EU & UK References

Vulnerability Data

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)
CWE-409NVD-CWE-Other

Related Threats

MITRE ATT&CK Enterprise Techniques

T1001.001 Junk Data Command And Control
Adversaries may add junk data to protocols used for command and control to make detection more difficult.
attack.mitre.org →
T1003.001 LSASS Memory Credential Access
Adversaries may attempt to access credential material stored in the process memory of the Local Security Authority Subsystem Service (LSASS).
attack.mitre.org →
T1003.002 Security Account Manager Credential Access
Adversaries may attempt to extract credential material from the Security Account Manager (SAM) database either through in-memory techniques or through the Windows Registry where the SAM database is stored.
attack.mitre.org →
T1003.003 NTDS Credential Access
Adversaries may attempt to access or create a copy of the Active Directory domain database in order to steal credential information, as well as obtain other information about domain members such as devices, users, and access rights.
attack.mitre.org →
T1003.005 Cached Domain Credentials Credential Access
Adversaries may attempt to access cached domain credentials used to allow authentication to occur in the event a domain controller is unavailable.
attack.mitre.org →
T1003.007 Proc Filesystem Credential Access
Adversaries may gather credentials from the proc filesystem or `/proc`.
attack.mitre.org →
Derived from this CVE’s CWE(s) via the direct CWE→ATT&CK cross-walk.

CVEs Like This One

CVE-2024-12391Same product: Binary-Husky Gpt Academic
CVE-2024-12388Same product: Binary-Husky Gpt Academic
CVE-2024-10714Same product: Binary-Husky Gpt Academic
CVE-2024-10819Same product: Binary-Husky Gpt Academic
CVE-2024-10812Same product: Binary-Husky Gpt Academic
CVE-2024-10948Same product: Binary-Husky Gpt Academic
CVE-2025-10236Same product: Binary-Husky Gpt Academic
CVE-2024-12389Same product: Binary-Husky Gpt Academic
CVE-2025-0183Same product: Binary-Husky Gpt Academic
CVE-2024-12390Same product: Binary-Husky Gpt Academic

Affected Assets

binary-husky
gpt academic
2024-10-15

Mitigating Controls

Mitigating Controls (NIST 800-53 r5) AI

SI-10 Information Input Validation good match

Input validation can reject or limit decompression of data whose expansion ratio exceeds safe thresholds.

SC-5 Denial-of-service Protection partial match

DoS protection limits the resource-exhaustion impact when a decompression bomb is processed.

SC-6 Resource Availability partial match

Resource allocation controls bound memory/CPU consumption that a data-amplification attack would otherwise exhaust.

Mitigating Controls (NIST CSF 2.0) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.

DE.CM-09 partial match
blocks

Runtime monitoring of compute resources can detect exhaustion caused by decompression bombs.

PR.IR-04 partial match
blocks

Capacity planning and monitoring directly limits the availability impact of data-amplification attacks.

PR.PS-06 partial match
blocks

Secure-development practices include input-validation and resource-limit checks that prevent improper handling of compressed data.

Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI

Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.

A.6.5 Responsibilities after termination or change of employment partial match
removes
A.8.16 Monitoring activities partial match
finds

Monitoring can detect anomalous resource usage but does not prevent the weakness.

A.8.19 Installation of software on operational systems partial match
removes
A.8.25 Secure development life cycle partial match
blocks

Secure development lifecycle includes input validation and resource-limit checks that mitigate data-amplification attacks.

A.8.26 Application security requirements partial match
blocks

Application security requirements can mandate limits on decompression size and ratio.

A.8.27 Secure system architecture and engineering principles partial match
blocks

Secure architecture principles encourage defensive design against resource-exhaustion threats.

References