CVE-2025-22371

April 14, 2025, 4:15 p.m.

9.3
Critical

Description

Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') vulnerability in SicommNet BASEC (SaaS Service) login page allows an unauthenticated remote attacker to Bypass Authentication and execute arbitrary SQL commands. This issue at least affects BASEC for the date of 14 Dec 2021 onwards. It is very likely that this vulnerability has been present in the solution before that. As of the date of this CVE record, there has been no patch

Product(s) Impacted

Vendor Product Versions
Sicommnet
  • Basec
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-89
Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL 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 sicommnet basec / / / / / / / /

CVSS Score

9.3 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: NONE
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • Exploit Maturity: NOT_DEFINED
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:L/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:Y/R:X/V:C/RE:X/U:X

    View Vector String

Timeline

Published: April 14, 2025, 4:15 p.m.
Last Modified: April 14, 2025, 4:15 p.m.

Status : Received

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

More info

Source

csirt@divd.nl

*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.