A stored cross-site scripting (XSS) vulnerability exists in the gaizhenbiao/chuanhuchatgpt repository, affecting version git 20b2e02. The vulnerability arises from improper sanitization of HTML tags in chat history uploads. Specifically, the sanitization logic fails to handle HTML tags within code blocks correctly, allowing an attacker to inject malicious scripts. This can lead to the execution of arbitrary JavaScript code in the context of the user's browser, potentially leading to identity theft or other malicious actions.
This vulnerability carries a MEDIUM severity rating with a CVSS v3.1 score of 5.4, indicating it can be exploited remotely over the network with relatively low complexity though user interaction is required requiring only low-level privileges . The vulnerability impacts limited data confidentiality, limited integrity, for affected systems. Impacting 1 product from gaizhenbiao organizations running these solutions should prioritize assessment and patching.
Reported in 2025, 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.
2025-03-20T10:15:47.230
2025-08-01T18:25:11.207
Analyzed
CVSSv3.1: 5.4 (MEDIUM)
| Type | Vendor | Product | Version/Range | Vulnerable? |
|---|---|---|---|---|
| Application | gaizhenbiao | chuanhuchatgpt | 2024-09-19 | Yes |
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.