CVE-2024-49357

Nov. 6, 2024, 3:28 p.m.

7.5
High

Description

ZimaOS is a fork of CasaOS, an operating system for Zima devices and x86-64 systems with UEFI. In version 1.2.4 and all prior versions, the API endpoints in ZimaOS, such as `http://<Server-IP>/v1/users/image?path=/var/lib/casaos/1/app_order.json` and `http://<Server-IP>/v1/users/image?path=/var/lib/casaos/1/system.json`, expose sensitive data like installed applications and system information without requiring any authentication or authorization. This sensitive data leak can be exploited by attackers to gain detailed knowledge about the system setup, installed applications, and other critical information. As of time of publication, no known patched versions are available.

Product(s) Impacted

Vendor Product Versions
Zimaspace
  • Zimaos
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-200
Exposure of Sensitive Information to an Unauthorized Actor
The product exposes sensitive information to an actor that is not explicitly authorized to have access to that information.
CWE-862
Missing Authorization
The product does not perform an authorization check when an actor attempts to access a resource or perform an action.

*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 zimaspace zimaos / / / / / / / /

CVSS Score

7.5 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: NONE
  • Scope: UNCHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: NONE
  • Availability Impact: NONE
  • CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

    View Vector String

Timeline

Published: Oct. 24, 2024, 10:15 p.m.
Last Modified: Nov. 6, 2024, 3:28 p.m.

Status : Analyzed

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

More info

Source

security-advisories@github.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.