Cyber Resilience

CVE-2024-10954

HighPublic PoCRCE

Published: 20 March 2025

Published
20 March 2025
Modified
15 October 2025
KEV Added
—
Patch
—
CVSS Score v3 8.8 CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
EPSS Score 0.0213 84.5th percentile
Risk Priority 19 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2024-10954 is a high-severity Code Injection (CWE-94) vulnerability in Binary-Husky Gpt Academic. Its CVSS base score is 8.8 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 15.5% 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 LLM Application Platforms; in the LLM/Generative AI Risks risk domain; MITRE ATLAS techniques in scope: Direct (AML.T0051.000).

EU & UK References

Vulnerability details

In the `manim` plugin of binary-husky/gpt_academic, versions prior to the fix, a vulnerability exists due to improper handling of user-provided prompts. The root cause is the execution of untrusted code generated by the LLM without a proper sandbox. This allows…

more

an attacker to perform remote code execution (RCE) on the app backend server by injecting malicious code through the prompt.

CWE(s)
CWE-94

AI Security AnalysisAI

AI Category
LLM Application Platforms
Risk Domain
LLM/Generative AI Risks
OWASP Top 10 for LLMs 2025
LLM01:2025 Prompt Injection
Classification Reason
Matched keywords: llm

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 →
Why these techniques?

The vulnerability enables remote code execution on the backend server via malicious prompt injection, exploiting a public-facing AI/ML application without proper sandboxing.

MITRE ATLAS TechniquesAI

MITRE ATLAS techniques

AML.T0051.000: Direct

Affected Assets

binary-husky
gpt academic
all versions

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.

SC-34 Non-modifiable Executable Programs
addresses: CWE-94

Makes persistent code injection into loaded programs impossible when the executable image itself resides on hardware-protected read-only media.

SC-44 Detonation Chambers
addresses: CWE-94

Dynamically generated code can be produced and executed inside the isolated chamber, preventing host compromise from code-injection payloads.

SI-10 Information Input Validation
addresses: CWE-94

Validates inputs used in dynamic code generation to block injected directives.

SI-16 Memory Protection
addresses: CWE-94

Directly prevents execution of attacker-supplied code written into data memory regions.

References