A Server-Side Request Forgery (SSRF) vulnerability was discovered in gaizhenbiao/chuanhuchatgpt version 20240914. The vulnerability allows an attacker to construct a response link by saving the response in a folder named after the SHA-1 hash of the target URL. This enables the attacker to access the response directly, potentially leading to unauthorized access to internal systems, data theft, service disruption, or further attacks such as port scanning and accessing metadata endpoints.
This vulnerability carries a MEDIUM severity rating with a CVSS v3.1 score of 6.5, indicating it can be exploited remotely over the network with relatively low complexity without requiring user interaction requiring only low-level privileges . The vulnerability impacts confidentiality (data exposure), 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.
2025-03-20T10:15:51.533
2025-07-09T18:06:57.527
Analyzed
CVSSv3.0: 6.5 (MEDIUM)
| Type | Vendor | Product | Version/Range | Vulnerable? |
|---|---|---|---|---|
| Application | gaizhenbiao | chuanhuchatgpt | 20240914 | 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.