CVE-2026-41500

May 8, 2026, 7:18 p.m.

9.8
Critical

Description

electerm is an open-sourced terminal/ssh/sftp/telnet/serialport/RDP/VNC/Spice/ftp client. Prior to version 3.3.8, a command injection vulnerability exists in github.com/elcterm/electerm/npm/install.js:150. The runMac() function appends attacker-controlled remote releaseInfo.name directly into an exec("open ...") command without validation. This issue has been patched in version 3.3.8.

Product(s) Impacted

Vendor Product Versions
Electerm Project
  • Electerm
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-77
Improper Neutralization of Special Elements used in a Command ('Command Injection')
The product constructs all or part of a command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended 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 electerm_project electerm / / / / / / / /

References

https://github.com/electerm/electerm/commit/59708b38c8a52f5db59d7d4eff98e31d573128ee
https://github.com/electerm/electerm/releases/tag/v3.3.8
https://github.com/electerm/electerm/security/advisories/GHSA-wxw2-rwmh-vr8f

Tags

[email protected]
CWE-77
2026-05-08
CVE-2026-41500

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 8, 2026, 4:16 a.m.
Last Modified: May 8, 2026, 7:18 p.m.

Status : Analyzed

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

More info

Source

[email protected]

*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.