CVE-2025-59952

Sept. 30, 2025, 4:43 a.m.

8.7
High

Description

MinIO Java SDK is a Simple Storage Service (aka S3) client to perform bucket and object operations to any Amazon S3 compatible object storage service. In minio-java versions prior to 8.6.0, XML tag values containing references to system properties or environment variables were automatically substituted with their actual values during processing. This unintended behavior could lead to the exposure of sensitive information, including credentials, file paths, or system configuration details, if such references were present in XML content from untrusted sources. This is fixed in version 8.6.0.

Product(s) Impacted

Vendor Product Versions
Minio
  • Minio Java Sdk
  • <8.6.0

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-20
Improper Input Validation
The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly.

*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 minio minio_java_sdk <8.6.0 / / / / / / /

CVSS Score

8.7 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: NONE
  • 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:N/PR:N/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: Sept. 30, 2025, 4:43 a.m.
Last Modified: Sept. 30, 2025, 4:43 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.