VulnerabilityPublished 12 Oct 2025Updated 17 Oct 2025

CVE-2025-11640: Tomofun Furbo 360 · Cleartext Transmission

Affects Tomofun Furbo 360Source CVE Database V5

Not known to be exploited · CVSS 2.3 Low.

Data as of 26 Oct 2026, 14:05 UTC

CVSS 4.0 base score

2.3Low

How severe the flaw is on the 0–10 CVSS scale.

EPSS: 0.2% chance of exploitation in 30 days – higher than 12% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.

CVSS:4.0/AV:A/AC:H/AT:N/PR:N/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N/E:X

Attack Vector: Adjacent
Attack Complexity: High
Attack Requirements: None
Privileges Required: None
User Interaction: None
Vulnerable system confidentiality: Low
Vulnerable system integrity: None
Vulnerable system availability: None
Subsequent system confidentiality: None
Subsequent system integrity: None
Subsequent system availability: None

Bold values are the worst case: easiest to exploit or largest impact.

Attack Vector: Adjacent: The vulnerable system is bound to a protocol stack, but the attack is limited at the protocol level to a logically adjacent topology. This can mean an attack must be launched from the same shared proximity (e.g., Bluetooth, NFC, or IEEE 802.11) or logical network (e.g., local IP subnet), or from within a secure or otherwise limited administrative domain (e.g., MPLS, secure VPN within an administrative network zone).
Attack Complexity: High: The successful attack depends on the evasion or circumvention of security-enhancing techniques in place that would otherwise hinder the attack. These include: Evasion of exploit mitigation techniques, for example, circumvention of address space randomization (ASLR) or data execution prevention (DEP) must be performed for the attack to be successful; Obtaining target-specific secrets. The attacker must gather some target-specific secret before the attack can be successful. A secret is any piece of information that cannot be obtained through any amount of reconnaissance. To obtain the secret the attacker must perform additional attacks or break otherwise secure measures (e.g. knowledge of a secret key may be needed to break a crypto channel). This operation must be performed for each attacked target.
Attack Requirements: None: The successful attack does not depend on the deployment and execution conditions of the vulnerable system. The attacker can expect to be able to reach the vulnerability and execute the exploit under all or most instances of the vulnerability.
Privileges Required: None: The attacker is unauthorized prior to attack, and therefore does not require any access to settings or files of the vulnerable system to carry out an attack.
User Interaction: None: The vulnerable system can be exploited without interaction from any human user, other than the attacker.
Vulnerable system confidentiality: Low: There is some loss of confidentiality. Access to some restricted information is obtained, but the attacker does not have control over what information is obtained, or the amount or kind of loss is limited. The information disclosure does not cause a direct, serious loss to the Vulnerable System.
Vulnerable system integrity: None: There is no loss of integrity within the Vulnerable System.
Vulnerable system availability: None: There is no impact to availability within the Vulnerable System.
Subsequent system confidentiality: None: There is no loss of confidentiality within the Subsequent System or all confidentiality impact is constrained to the Vulnerable System.
Subsequent system integrity: None: There is no loss of integrity within the Subsequent System or all integrity impact is constrained to the Vulnerable System.
Subsequent system availability: None: There is no impact to availability within the Subsequent System or all availability impact is constrained to the Vulnerable System.

Definitions: FIRST CVSS v4.0 specification.

Exploitation evidence

Disclosed: evidence found.
CVE published 12 Oct 2025
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.

Disclosed: The CVE record is public on cve.org. Its publication is t = 0.
Detectable: A public nuclei template can find exposed instances, for defenders and attackers alike.
Weaponised: Public exploit code exists in Metasploit or Exploit-DB, or CISA SSVC or the CVSS exploit maturity reports a public proof of concept.
Exploited in the wild: CISA KEV lists it, CISA SSVC rates exploitation active, or a source reports attacks.
Observed by OffSeq Mirage: OffSeq Mirage honeypot sensors recorded attack traffic for this CVE, or found exposed hosts without attack traffic.

Moments are spaced evenly, not to scale; a dashed line marks a gap of six months or more. Deltas count from t = 0. Sources that give only a date (CISA KEV, Exploit-DB, or a time of exactly 00:00Z) read “same day” rather than hours. Metasploit modules carry the flaw’s disclosure date, not their release date, and nuclei templates carry no date, so both appear above but not on the timeline.

What to do

AI-suggested

To mitigate CVE-2025-11640, European organizations should implement specific controls beyond generic advice: 1) Segment networks to isolate IoT and smart home devices from critical business systems, reducing the risk of lateral movement by attackers. 2) Disable Bluetooth Low Energy functionality on Furbo devices if not required, or restrict BLE communication range using physical controls. 3) Monitor local network traffic for unusual BLE activity or unauthorized devices attempting to intercept communications. 4) Encourage users to update to the latest firmware if and when vendor patches become available, and maintain communication with the vendor for updates. 5) Employ strong Wi-Fi security measures (WPA3, strong passwords) to prevent unauthorized local network access. 6) Educate users about the risks of connecting IoT devices to corporate networks or VPNs. 7) Consider replacing affected devices with alternatives that have better security postures if mitigation is not feasible. These steps help reduce the attack surface and limit the potential for sensitive data exposure.

Description

A vulnerability was found in Tomofun Furbo 360 and Furbo Mini. This affects an unknown function of the component Bluetooth Low Energy. The manipulation results in cleartext transmission of sensitive information. Access to the local network is required for this attack. Attacks of this nature are highly complex. The exploitability is reported as difficult. 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.

Impact

For European organizations, the primary impact of CVE-2025-11640 is the potential exposure of sensitive information transmitted by Furbo devices within local networks. While the vulnerability does not allow remote exploitation or direct control of the device, interception of cleartext BLE transmissions could lead to privacy breaches, including leakage of user data or device metadata. Organizations with smart office environments or employees using Furbo devices at home connected to corporate VPNs may face increased risk. The requirement for local network access limits the threat to attackers who have already penetrated internal networks or are physically nearby. The low severity score indicates limited risk to critical infrastructure or business operations. However, privacy regulations such as GDPR impose strict requirements on protecting personal data, so any leakage could have compliance implications. The lack of vendor response and patches prolongs exposure, necessitating proactive mitigation by affected organizations.

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Exploitation evidence

What to do

Description

AI analysisMachine-generated, updated 19 Oct 2025, 18:31 UTC

Technical details

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