CVE-2025-1415

May 21, 2025, 8:24 p.m.

5.1
Medium

Description

A low-privileged user is able to obtain information about tasks executed on devices controlled by Proget MDM (Mobile Device Management), as well as details of the devices like their UUIDs needed for exploitation of CVE-2025-1416. In order to perform the attack, one has to know a task_id, but since it's a low integer and there is no limit of requests an attacker can perform to a vulnerable endpoint, the task_id might be simply brute forced. This issue has been fixed in 2.17.5 version of Konsola Proget (server part of the MDM suite).

Product(s) Impacted

Vendor Product Versions
Proget
  • Konsola Proget
  • 2.17.5

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-863
Incorrect Authorization
The product performs an authorization check when an actor attempts to access a resource or perform an action, but it does not correctly perform the check. This allows attackers to bypass intended access restrictions.

*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 proget konsola_proget 2.17.5 / / / / / / /

CVSS Score

5.1 / 10

CVSS Data - 4.0

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

    View Vector String

Timeline

Published: May 21, 2025, 12:16 p.m.
Last Modified: May 21, 2025, 8:24 p.m.

Status : Awaiting Analysis

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

More info

Source

cvd@cert.pl

*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.