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CVE-2024-4321


A Local File Inclusion (LFI) vulnerability exists in the gaizhenbiao/chuanhuchatgpt application, specifically within the functionality for uploading chat history. The vulnerability arises due to improper input validation when handling file paths during the chat history upload process. An attacker can exploit this vulnerability by intercepting requests and manipulating the 'name' parameter to specify arbitrary file paths. This allows the attacker to read sensitive files on the server, leading to information leakage, including API keys and private information. The issue affects version 20240310 of the application.


Security Impact Summary

This vulnerability carries a HIGH severity rating with a CVSS v3.1 score of 7.5, indicating it can be exploited remotely over the network with relatively low complexity without requiring user interaction and does not require pre-existing privileges . The vulnerability impacts confidentiality (data exposure), for affected systems. Impacting 1 product from gaizhenbiao organizations running these solutions should prioritize assessment and patching.

Historical Context

Reported in 2024, this vulnerability emerged during an era marked by increased sophistication in supply chain attacks, cloud infrastructure vulnerabilities, and software-as-a-service (SaaS) security challenges. Security practices during this period emphasized zero-trust architectures, container security, and API protection.


Published

2024-05-16T09:15:16.327

Last Modified

2025-07-10T16:21:16.573

Status

Analyzed

Source

[email protected]

Severity

CVSSv3.0: 7.5 (HIGH)

Weaknesses
  • Type: Secondary
    CWE-20
  • Type: Primary
    NVD-CWE-noinfo

Affected Vendors & Products
Type Vendor Product Version/Range Vulnerable?
Application gaizhenbiao chuanhuchatgpt 20240310 Yes

References

How SecUtils Interprets This CVE

SecUtils normalizes and enriches National Vulnerability Database (NVD) records by standardizing vendor and product identifiers, aggregating vulnerability metadata from both NVD and MITRE sources, and providing structured context for security teams. For gaizhenbiao's affected products, we extract Common Platform Enumeration (CPE) data, Common Weakness Enumeration (CWE) classifications, CVSS severity metrics, and reference data to enable rapid vulnerability prioritization and asset correlation. This record contains no exploit code, proof-of-concept instructions, or attack methodologies—only defensive intelligence necessary for patch management, risk assessment, and security operations.