CVE-2026-48723

June 15, 2026, 11:16 p.m.

7.8
High

Description

The browserstack-cypress-cli is BrowserStack's CLI which allows users to run Cypress tests on BrowserStack. Versions prior to 1.36.4 are vulnerable to OS command injection via the cypress_config_file configuration parameter. In readCypressConfigUtil.js, the loadJsFile() function constructs a shell command by interpolating the user-controlled cypress_config_filepath value into a template literal, then executes it via child_process.execSync(). Shell metacharacters in the config path (specifically " and ;) allow breaking out of the quoted argument and injecting arbitrary commands. This issue has been fixed in version 1.36.6.

Product(s) Impacted

Vendor Product Versions
Browserstack
  • Browserstack-cypress-cli
  • <1.36.4

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.

*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 browserstack browserstack-cypress-cli <1.36.4 / / / / / / /

CVSS Score

7.8 / 10

CVSS Data - 3.1

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

    View Vector String

Timeline

Published: June 15, 2026, 11:16 p.m.
Last Modified: June 15, 2026, 11:16 p.m.

Status : Received

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.