CVE-2025-31644

May 7, 2025, 10:15 p.m.

8.5
High

Description

When running in Appliance mode, a command injection vulnerability exists in an undisclosed iControl REST and BIG-IP TMOS Shell (tmsh) command which may allow an authenticated attacker with administrator role privileges to execute arbitrary system commands. A successful exploit can allow the attacker to cross a security boundary.  Note: Software versions which have reached End of Technical Support (EoTS) are not evaluated.

Product(s) Impacted

Vendor Product Versions
F5
  • Bigshell
  • Big-ip
  • *
  • *

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 f5 bigshell / / / / / / / /
a f5 big-ip / / / / / / / /

CVSS Score

8.5 / 10

CVSS Data - 4.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: HIGH
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: HIGH
  • Integrity Impact: HIGH
  • Availability Impact: NONE
  • Exploit Maturity: NOT_DEFINED
  • CVSS:4.0/AV:N/AC:L/AT:N/PR:H/UI:N/VC:H/VI:H/VA:N/SC:L/SI:L/SA:L/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: May 7, 2025, 10:15 p.m.
Last Modified: May 7, 2025, 10:15 p.m.

Status : Received

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

More info

Source

f5sirt@f5.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.