CVE-2024-7897

Sept. 27, 2024, 10:15 a.m.

8.8
High

Description

A vulnerability classified as critical has been found in Tosei Online Store Management System ??????????? 4.02/4.03/4.04. This affects an unknown part of the file /cgi-bin/tosei_kikai.php. The manipulation of the argument kikaibangou leads to command injection. It is possible to initiate the attack remotely. The exploit has been disclosed to the public and may be used. NOTE: The vendor was contacted early about this disclosure but did not respond in any way.

Product(s) Impacted

Vendor Product Versions
Tosei-corporation
  • Online Store Management System
  • 4.0.2, 4.0.3, 4.0.4

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-77
Improper Neutralization of Special Elements used in a Command ('Command Injection')
The product constructs all or part of a command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended command 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 tosei-corporation online_store_management_system 4.0.2 / / / / / / /
a tosei-corporation online_store_management_system 4.0.3 / / / / / / /
a tosei-corporation online_store_management_system 4.0.4 / / / / / / /

CVSS Score

8.8 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: LOW
  • Scope: UNCHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

    View Vector String

Timeline

Published: Aug. 17, 2024, 3:15 p.m.
Last Modified: Sept. 27, 2024, 10:15 a.m.

Status : Analyzed

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.