Cyber Resilience

CVE-2024-10100

HighPublic PoC

Published: 17 October 2024

Published
17 October 2024
Modified
11 July 2025
KEV Added
—
Patch
—
CVSS Score v3.1 7.5 CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
EPSS Score 0.0051 66.9th percentile
Risk Priority 15 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2024-10100 is a high-severity Path Traversal (CWE-22) vulnerability in Binary-Husky Gpt Academic. Its CVSS base score is 7.5 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 33.1% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.

This vulnerability is AI-related — categorised as Enterprise AI Assistants; in the Privacy and Disclosure risk domain; MITRE ATLAS techniques in scope: Obtain Capabilities (AML.T0016), Exfiltration via AI Inference API (AML.T0024).

EU & UK References

Vulnerability details

A path traversal vulnerability exists in binary-husky/gpt_academic version 3.83. The vulnerability is due to improper handling of the file parameter, which is open to path traversal through URL encoding. This allows attackers to view any file on the host system,…

more

including sensitive files such as critical application files, SSH keys, API keys, and configuration values.

CWE(s)
CWE-22

AI Security AnalysisAI

AI Category
Enterprise AI Assistants
Risk Domain
Privacy and Disclosure
OWASP Top 10 for LLMs 2025
None mapped
Classification Reason
gpt_academic is an AI academic assistant built on ChatGPT API for tasks like literature search, reading, polishing, and generation, fitting Enterprise AI Assistants category. Vulnerability reported on AI/ML bug bounty platform confirms AI relevance.

Related Threats

MITRE ATT&CK Enterprise TechniquesAI

T1190 Exploit Public-Facing Application Initial Access
Adversaries may attempt to exploit a weakness in an Internet-facing host or system to initially access a network.
attack.mitre.org →
T1005 Data from Local System Collection
Adversaries may search local system sources, such as file systems, configuration files, local databases, virtual machine files, or process memory, to find files of interest and sensitive data prior to Exfiltration.
attack.mitre.org →
T1552.001 Credentials In Files Credential Access
Adversaries may search local file systems and remote file shares for files containing insecurely stored credentials.
attack.mitre.org →
Why these techniques?

Path traversal vulnerability in web application (file parameter via URL encoding) enables exploitation of public-facing application (T1190) to perform arbitrary local file reads (T1005), including sensitive files with credentials (T1081).

MITRE ATLAS TechniquesAI

MITRE ATLAS techniques

AML.T0016: Obtain CapabilitiesAML.T0024: Exfiltration via AI Inference API

Affected Assets

binary-husky
gpt academic
3.83

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.

SI-10 Information Input Validation
addresses: CWE-22

Validates pathnames and filenames to prevent traversal outside intended directories.

References