CVE-2025-11650

Oct. 12, 2025, 11:15 p.m.

1.0
Low

Description

A vulnerability was determined in Tomofun Furbo 360 and Furbo Mini. The impacted element is an unknown function of the file /etc/shadow of the component Password Handler. Executing manipulation can lead to use of weak hash. The physical device can be targeted for the attack. The attack requires a high level of complexity. The exploitability is regarded as difficult. The exploit has been publicly disclosed and may be utilized. The firmware versions determined to be affected are Furbo 360 up to FB0035_FW_036 and Furbo Mini up to MC0020_FW_074. The vendor was contacted early about this disclosure but did not respond in any way.

Product(s) Impacted

Vendor Product Versions
Tomofun
  • Furbo 360
  • Furbo Mini
  • *
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-327
Use of a Broken or Risky Cryptographic Algorithm
The product uses a broken or risky cryptographic algorithm or protocol.

*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 tomofun furbo_360 / FB0035_FW_036 / / / / / /
a tomofun furbo_mini / MC0020_FW_074 / / / / / /

CVSS Score

1.0 / 10

CVSS Data - 4.0

  • Attack Vector: PHYSICAL
  • Attack Complexity: HIGH
  • Attack Requirements: NONE
  • Privileges Required: LOW
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: LOW
  • Integrity Impact: NONE
  • Availability Impact: NONE
  • Exploit Maturity: PROOF_OF_CONCEPT
  • CVSS:4.0/AV:P/AC:H/AT:N/PR:L/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N/E:P/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: Oct. 12, 2025, 11:15 p.m.
Last Modified: Oct. 12, 2025, 11:15 p.m.

Status : Received

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

More info

Source

cna@vuldb.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.