What is the CVSS score of CVE-2024-10954?

CVE-2024-10954 has a CVSS 3.0 base score of 8.8 (High). CVSS vector: CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H. EPSS exploitation probability: 1.3%.

Which versions of Gpt Academic are affected by CVE-2024-10954?

CVE-2024-10954 presents significant security risk, a code injection vulnerability rated CVSS 8.8.

Is there a public PoC exploit available for CVE-2024-10954?

Yes, a public proof-of-concept exploit is available for CVE-2024-10954. Prioritise patching immediately. EPSS: 1.3%.

How to fix or mitigate CVE-2024-10954?

Within 7 days: Identify all affected systems and apply vendor patches promptly. Validate that input sanitization is in place for all user-controlled parameters.

Gpt Academic CVE-2024-10954

HIGH

Code Injection (CWE-94)

2025-03-20 security@huntr.dev

RCE Code Injection Gpt Academic

8.8

CVSS 3.0 · NVD

Severity by source

NVD PRIMARY

8.8 HIGH

AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

Primary rating from NVD · only source for this CVE.

CVSS VectorNVD

CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

Attack Vector

Network

Attack Complexity

Low

Privileges Required

Low

User Interaction

None

Scope

Unchanged

Confidentiality

High

Integrity

High

Availability

High

Lifecycle Timeline

Analysis Generated

Mar 28, 2026 - 18:32 vuln.today

PoC Detected

Oct 15, 2025 - 13:15 vuln.today

Public exploit code

CVE Published

Mar 20, 2025 - 10:15 nvd

HIGH 8.8

DescriptionCVE.org

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

AnalysisAI

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. Rated high severity (CVSS 8.8), this vulnerability is remotely exploitable, low attack complexity. Public exploit code available and no vendor patch available.

Technical ContextAI

This vulnerability is classified as Code Injection (CWE-94), which allows attackers to inject and execute arbitrary code within the application. 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 an attacker to perform remote code execution (RCE) on the app backend server by injecting malicious code through the prompt. Affected products include: Binary-Husky Gpt Academic.

RemediationAI

No vendor patch is available at time of analysis. Monitor vendor advisories for updates. Never evaluate user-controlled input as code. Use sandboxing, disable dangerous functions, apply strict input validation.