CVE-2026-25244

May 19, 2026, 9:08 p.m.

9.8
Critical

Description

WebdriverIO is a test automation framework for unit, e2e and component testing using WebDriver, WebDriver BiDi and Appium. Versions below 9.24.0 contain a command injection vulnerability leading to remote code execution (RCE) in test orchestration. Git permits branch names containing shell metacharacters, and getGitMetadataForAISelection() interpolates these names directly into execSync() calls without sanitization. An attacker can exploit this by supplying a malicious repository (via testOrchestrationOptions.runSmartSelection.source, or the current directory if unset) whose branch name carries a payload, causing the shell to execute arbitrary code. This enables remote code execution on CI/CD servers and developer machines, leading to credential and secret disclosure, source code and SSH key exfiltration, system compromise, and supply chain attacks via tampered build artifacts. The issue has been fixed in version 9.24.0.

Product(s) Impacted

Vendor Product Versions
Openjsf
  • Webdriverio
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-78
Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')
The product constructs all or part of an OS command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended OS command when it is sent to a downstream component.

CVSS Score

9.8 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: NONE
  • Scope: UNCHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: HIGH
  • CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

    View Vector String

Timeline

Published: May 18, 2026, 9:16 p.m.
Last Modified: May 19, 2026, 9:08 p.m.

Status : Analyzed

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

More info

*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.