CVE-2025-10203

Sept. 16, 2025, 12:49 p.m.

8.5
High

Description

Relative path traversal vulnerability due to improper input validation in Digilent WaveForms that may result in arbitrary code execution. Successful exploitation requires an attacker to get a user to open a specially crafted .DWF3WORK file. This vulnerability affects Digilent WaveForms 3.24.3 and prior versions.

Product(s) Impacted

Vendor Product Versions
Digilent
  • Waveforms
  • <3.24.3

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-23
Relative Path Traversal
The product uses external input to construct a pathname that should be within a restricted directory, but it does not properly neutralize sequences such as ".." that can resolve to a location that is outside of that directory.

*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 digilent waveforms <3.24.3 / / / / / / /

References

https://www.ni.com/en/support/security/available-critical-and-security-updates-for-ni-software/relative-path-traversal-vulnerability-in-digilent-waveforms.html

Tags

security@ni.com
CWE-23
2025-09-15
CVE-2025-10203

CVSS Score

8.5 / 10

CVSS Data - 4.0

  • Attack Vector: LOCAL
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: NONE
  • 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:N/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. 15, 2025, 5:15 p.m.
Last Modified: Sept. 16, 2025, 12:49 p.m.

Status : Awaiting Analysis

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

More info

Source

security@ni.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.