CVE-2025-67717

Dec. 11, 2025, 1:16 a.m.

5.3
Medium

Description

ZITADEL is an open-source identity infrastructure tool. Versions 2.44.0 through 3.4.4 and 4.0.0-rc.1 through 4.7.1 disclose the total number of instance users to authenticated users, regardless of their specific permissions. While this does not leak individual user data or PII, disclosing the total user count via the totalResult field constitutes an information disclosure vulnerability that may be sensitive in certain contexts. This issue is fixed in versions 3.4.5 and 4.7.2.

Product(s) Impacted

Vendor Product Versions
Zitaled
  • Zitaled
  • 2.44.0-3.4.4, 4.0.0-rc.1-4.7.1

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-497
Exposure of Sensitive System Information to an Unauthorized Control Sphere
The product does not properly prevent sensitive system-level information from being accessed by unauthorized actors who do not have the same level of access to the underlying system as the product does.

*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 zitaled zitaled 2.44.0-3.4.4 / / / / / / /
a zitaled zitaled 4.0.0-rc.1-4.7.1 / / / / / / /

CVSS Score

5.3 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • 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:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:N/VA:N/SC:N/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: Dec. 11, 2025, 1:16 a.m.
Last Modified: Dec. 11, 2025, 1:16 a.m.

Status : Received

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.