CVE-2025-12148

Oct. 29, 2025, 4:15 p.m.

6.0
Medium

Description

In Search Guard versions 3.1.1 and earlier, Field Masking (FM) rules are improperly enforced on fields of type IP (IP Address). While the content of these fields is properly redacted in the _source document returned by search operations, the results do return documents (hits) when searching based on a specific IP values. This allows to reconstruct the original contents of the field. Workaround - If you cannot upgrade immediately, you can avoid the problem by using field level security (FLS) protection on fields of the affected types instead of field masking.

Product(s) Impacted

Vendor Product Versions
Search Guard
  • Search Guard
  • <3.1.1

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.

*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 search_guard search_guard <3.1.1 / / / / / / /

CVSS Score

6.0 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: PRESENT
  • Privileges Required: LOW
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: HIGH
  • Integrity Impact: NONE
  • Availability Impact: NONE
  • Exploit Maturity: NOT_DEFINED
  • CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:H/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: Oct. 29, 2025, 4:15 p.m.
Last Modified: Oct. 29, 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

security@search-guard.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.