CVE-2025-9267

Sept. 26, 2025, 2:32 p.m.

7.0
Medium

Description

In Seagate Toolkit on Windows a vulnerability exists in the Toolkit Installer prior to versions 2.35.0.6 where it attempts to load DLLs from the current working directory without validating their origin or integrity. This behavior can be exploited by placing a malicious DLL in the same directory as the installer executable, leading to arbitrary code execution with the privileges of the user running the installer. The issue stems from the use of insecure DLL loading practices, such as relying on relative paths or failing to specify fully qualified paths when invoking system libraries.

Product(s) Impacted

Vendor Product Versions
Seagate
  • Toolkit
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-426
Untrusted Search Path
The product searches for critical resources using an externally-supplied search path that can point to resources that are not under the product's direct control.

*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 seagate toolkit / / / / / / / /

CVSS Score

7.0 / 10

CVSS Data - 4.0

  • Attack Vector: LOCAL
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: HIGH
  • User Interaction: PASSIVE
  • Scope:
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • Exploit Maturity: NOT_DEFINED
  • CVSS:4.0/AV:L/AC:L/AT:N/PR:H/UI:P/VC:H/VI:H/VA:H/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. 26, 2025, 1:15 p.m.
Last Modified: Sept. 26, 2025, 2:32 p.m.

Status : Awaiting Analysis

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

More info

Source

c6156efd-4bd0-48d7-8520-680200527478

*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.