CVE-2023-33979 Vulnerability Details

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CVE-2023-33979 Metadata Quick Info

CVE Published: 31/05/2023 | CVE Updated: 02/08/2024 | CVE Year: 2023
Source: GitHub_M | Vendor: binary-husky | Product: gpt_academic
Status : PUBLISHED

CVE-2023-33979 Description

gpt_academic provides a graphical interface for ChatGPT/GLM. A vulnerability was found in gpt_academic 3.37 and prior. This issue affects some unknown processing of the component Configuration File Handler. The manipulation of the argument file leads to information disclosure. Since no sensitive files are configured to be off-limits, sensitive information files in some working directories can be read through the `/file` route, leading to sensitive information leakage. This affects users that uses file configurations via `config.py`, `config_private.py`, `Dockerfile`. A patch is available at commit 1dcc2873d2168ad2d3d70afcb453ac1695fbdf02. As a workaround, one may use environment variables instead of `config*.py` files to configure this project, or use docker-compose installation to configure this project.

Metrics

CVSS Version: 3.1 | Base Score: 6.5 MEDIUM
Vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N

l➤ Exploitability Metrics:
    Attack Vector (AV)* NETWORK
    Attack Complexity (AC)* LOW
    Privileges Required (PR)* LOW
    User Interaction (UI)* NONE
    Scope (S)* UNCHANGED

l➤ Impact Metrics:
    Confidentiality Impact (C)* HIGH
    Integrity Impact (I)* NONE
    Availability Impact (A)* NONE

Weakness Enumeration (CWE)

CWE-ID: CWE-200
CWE Name: CWE-200: Exposure of Sensitive Information to an Unauthorized Actor
Source: binary-husky

Common Attack Pattern Enumeration and Classification (CAPEC)

CAPEC-ID:
CAPEC Description:


Source: NVD (National Vulnerability Database).