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CVE-2025-41109VulnerabilityPublished

CVE-2025-41109: Ghost Robotics Vision 60 · Use of Hard-coded Credentials

Affects Ghost Robotics Vision 60Source CVE Database V5

0

Not known to be exploited · CVSS 8.7 High.

Data as of 25 Oct 2026, 19:02 UTC

CVSS 4.0 base score
8.7High
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.6% chance of exploitation in 30 days – higher than 49% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:4.0/AV:A/AC:L/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 22 Oct 2025

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq 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 2026-10-25.

What to do

Affected software

ProductAffectedFixed in
Ghost Robotics Vision 60Affected
  • =0.27.2
Fixed in–

AI-suggested

To mitigate this vulnerability, organizations should: 1) Physically secure all Ghost Robotics Vision 60 units to prevent unauthorized access to RJ45 and USB Type-C ports. 2) Disable or restrict unused physical interfaces to reduce attack vectors. 3) Implement network segmentation to isolate the robot’s internal network from broader organizational networks, preventing lateral movement. 4) Enforce strong authentication and access control mechanisms on all network interfaces and ROS 2 communications, potentially by configuring ROS 2 security features such as DDS Security plugins. 5) Monitor network traffic for unauthorized devices or anomalous connections on robot interfaces. 6) Regularly update the robot’s firmware and software once patches addressing this vulnerability become available from Ghost Robotics. 7) Employ intrusion detection systems tailored to robotic network protocols to detect exploitation attempts. 8) Conduct security audits and penetration testing focused on physical and network access controls of robotic platforms. These steps go beyond generic advice by focusing on physical interface security, ROS 2 authentication, and network architecture hardening specific to this robot’s design.

Description

Ghost Robotics Vision 60 v0.27.2 includes, among its physical interfaces, three RJ45 connectors and a USB Type-C port. The vulnerability is due to the lack of authentication mechanisms when establishing connections through these ports. Specifically, with regard to network connectivity, the robot's internal router automatically assigns IP addresses to any device physically connected to it. An attacker could connect a WiFi access point under their control to gain access to the robot's network without needing the credentials for the deployed network. Once inside, the attacker can monitor all its data, as the robot runs on ROS 2 without authentication by default.

References

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