Cyber Resilience

CVE-2024-10101

MediumPublic PoC

Published: 17 October 2024

Published
17 October 2024
Modified
11 July 2025
KEV Added
—
Patch
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CVSS Score v3 5.4 CVSS:3.0/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N
EPSS Score 0.0032 55.3th percentile
Risk Priority 11 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2024-10101 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 JavaScript (T1059.007); ranked in the top 44.7% 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 Other ATLAS/OWASP Terms risk domain; MITRE ATLAS techniques in scope: AML.T0033, AI Model Inference API Access (AML.T0040), LLM Prompt Injection (AML.T0051).

EU & UK References

Vulnerability details

A stored cross-site scripting (XSS) vulnerability exists in binary-husky/gpt_academic version 3.83. The vulnerability occurs at the /file endpoint, which renders HTML files. Malicious HTML files containing XSS payloads can be uploaded and stored in the backend, leading to the execution…

more

of the payload in the victim's browser when the file is accessed. This can result in the theft of session cookies or other sensitive information.

CWE(s)
CWE-79

AI Security AnalysisAI

AI Category
Enterprise AI Assistants
Risk Domain
Other ATLAS/OWASP Terms
OWASP Top 10 for LLMs 2025
None mapped
Classification Reason
The affected software is binary-husky/gpt_academic, an open-source AI academic assistant based on GPT models, which aligns with the Enterprise AI Assistants category as it provides a web-based interface for interacting with LLMs.

Related Threats

MITRE ATT&CK Enterprise TechniquesAI

T1059.007 JavaScript Execution
Adversaries may abuse various implementations of JavaScript for execution.
attack.mitre.org →
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 →
T1539 Steal Web Session Cookie Credential Access
An adversary may steal web application or service session cookies and use them to gain access to web applications or Internet services as an authenticated user without needing credentials.
attack.mitre.org →
Why these techniques?

The stored XSS vulnerability enables exploitation of a public-facing web application (T1190), JavaScript execution in victims' browsers via malicious HTML rendering (T1059.007), and theft of session cookies or sensitive information (T1539).

MITRE ATLAS TechniquesAI

MITRE ATLAS techniques

AML.T0033AML.T0040: AI Model Inference API AccessAML.T0051: LLM Prompt InjectionAML.T0073: Impersonation

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.

CA-8 Penetration Testing
addresses: CWE-79

Penetration testing submits XSS payloads to web applications, detecting cross-site scripting flaws for subsequent remediation.

SI-10 Information Input Validation
addresses: CWE-79

Validates web inputs to reject script-related content that could produce XSS.

SI-15 Information Output Filtering
addresses: CWE-79

Output validation against expected content can reject or sanitize script content in generated web pages, reducing XSS exploitability.

References