Vulnerability Monitor

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CVE-2025-6738


A vulnerability, which was classified as critical, has been found in huija bicycleSharingServer up to 7b8a3ba48ad618604abd4797d2e7cf3b5ac7625a. Affected by this issue is the function userDao.selectUserByUserNameLike of the file UserServiceImpl.java. The manipulation of the argument Username leads to sql injection. The attack may be launched remotely. The exploit has been disclosed to the public and may be used. This product is using a rolling release to provide continious delivery. Therefore, no version details for affected nor updated releases are available.


Security Impact Summary

This vulnerability carries a MEDIUM severity rating with a CVSS v3.1 score of 6.3, 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 limited data confidentiality, limited integrity, and limited availability for affected systems.

Historical Context

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.


Published

2025-06-27T01:15:23.533

Last Modified

2025-06-30T18:38:48.477

Status

Awaiting Analysis

Source

[email protected]

Severity

CVSSv3.1: 6.3 (MEDIUM)

CVSSv2 Vector

AV:N/AC:L/Au:S/C:P/I:P/A:P

  • Access Vector: NETWORK
  • Access Complexity: LOW
  • Authentication: SINGLE
  • Confidentiality Impact: PARTIAL
  • Integrity Impact: PARTIAL
  • Availability Impact: PARTIAL
Exploitability Score

8.0

Impact Score

6.4

Weaknesses
  • Type: Secondary
    CWE-74
    CWE-89

Affected Vendors & Products

-


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 affected software, 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.