CVE-2025-34324

Nov. 19, 2025, 7:14 p.m.

7.0
Medium

Description

GoSign Desktop versions 2.4.0 and earlier use an unsigned update manifest for distributing application updates. The manifest contains package URLs and SHA-256 hashes but is not digitally signed, so its authenticity relies solely on the underlying TLS channel. In affected versions, TLS certificate validation can be disabled when a proxy is configured, allowing an attacker who can intercept network traffic to supply a malicious update manifest and corresponding package with a matching hash. This can cause the client to download and install a tampered update, resulting in arbitrary code execution with the privileges of the GoSign Desktop user on Windows and macOS, or with elevated privileges on some Linux deployments. A local attacker who can modify proxy settings may also abuse this behavior to escalate privileges by forcing installation of a crafted update.

Product(s) Impacted

Vendor Product Versions
Gopay
  • Gosing Desktop
  • <2.4.0, *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-347
Improper Verification of Cryptographic Signature
The product does not verify, or incorrectly verifies, the cryptographic signature for data.

CVSS Score

7.0 / 10

CVSS Data - 4.0

  • Attack Vector: LOCAL
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: LOW
  • 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:L/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: Nov. 18, 2025, 5:16 p.m.
Last Modified: Nov. 19, 2025, 7:14 p.m.

Status : Awaiting Analysis

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

More info

Source

disclosure@vulncheck.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.