CVE-2025-2831

March 27, 2025, 4:45 p.m.

5.3
Medium

Description

A vulnerability has been found in mingyuefusu 明月复苏 tushuguanlixitong 图书管理系统 up to d4836f6b49cd0ac79a4021b15ce99ff7229d4694 and classified as critical. This vulnerability affects the function getBookList of the file /admin/bookList?page=1&limit=10. The manipulation of the argument condition leads to sql injection. The attack can be initiated remotely. The exploit has been disclosed to the public and may be used.

Product(s) Impacted

Vendor Product Versions
Mingyuefusu
  • Tushuguanlixitong
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-74
Improper Neutralization of Special Elements in Output Used by a Downstream Component ('Injection')
The product constructs all or part of a command, data structure, or record using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify how it is parsed or interpreted when it is sent to a downstream component.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a mingyuefusu tushuguanlixitong / / / / / / / /

CVSS Score

5.3 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: LOW
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: LOW
  • Integrity Impact: LOW
  • Availability Impact: LOW
  • Exploit Maturity: NOT_DEFINED
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

    View Vector String

Timeline

Published: March 27, 2025, 3:15 a.m.
Last Modified: March 27, 2025, 4:45 p.m.

Status : Awaiting Analysis

CVE has been recently published to the CVE List and has been received by the NVD.

More info

Source

cna@vuldb.com

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.