CVE-2024-1621

Sept. 17, 2024, 2:12 p.m.

7.5
High

Description

The registration process of uniFLOW Online (NT-ware product) apps, prior to and including version 2024.1.0, can be compromised when email login is enabled on the tenant. Those tenants utilising email login in combination with Microsoft Safe Links or similar are impacted. This vulnerability may allow the attacker to register themselves against a genuine user in the system and allow malicious users with similar access and capabilities via the app to the existing genuine user.

Product(s) Impacted

Vendor Product Versions
Nt-ware
  • Uniflow Online
  • Uniflow Online Print \& Scan
  • Uniflow Smartclient
  • *, -
  • -
  • -

Weaknesses

CWE-940
Improper Verification of Source of a Communication Channel
The product establishes a communication channel to handle an incoming request that has been initiated by an actor, but it does not properly verify that the request is coming from the expected origin.

*CPE(s)

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a nt-ware uniflow_online / / / / / - / /
a nt-ware uniflow_online - / / / / chrome / /
a nt-ware uniflow_online_print_\&_scan - / / / / andriod / /
a nt-ware uniflow_online_print_\&_scan - / / / / iphone_os / /
a nt-ware uniflow_smartclient - / / / / macos / /
a nt-ware uniflow_smartclient - / / / / windows / /

CVSS Score

7.5 / 10

CVSS Data

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: NONE
  • Scope: UNCHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: NONE
  • Availability Impact: NONE
  • View Vector String

    CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

Date

  • Published: Sept. 2, 2024, 8:15 p.m.
  • Last Modified: Sept. 17, 2024, 2:12 p.m.

Status : Analyzed

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

More info

Source

4586e0a2-224d-4f8a-9cb4-8882b208c0b3

*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.