CVE-2025-41109
Exposed Creds in Ghostrobotics Vision 60 Firmware 0.27.2
Raw vector
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/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:XCVSS and EPSS are reproduced from their sources (NVD, FIRST EPSS). Risk Priority is our own derived reading, not an NVD score.
Summary
CVE-2025-41109 is a high-severity Use of Hard-coded Credentials (CWE-798) vulnerability in Ghostrobotics Vision 60 Firmware. Its CVSS base score is 8.7 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Unsecured Credentials (T1552); ranked at the 46th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
The strongest mitigations our analysis identified map to IA-5 (Authenticator Management) and SC-12 (Cryptographic Key Establishment and Management) — see the control section below for these in your framework.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-35318
- 🇪🇸 INCIBE: www.incibe.es
Vulnerability Data
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,…
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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.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Mitigating Controls (NIST 800-53 r5) AI
Authenticator management requires secure distribution and handling of credentials, structurally discouraging hard-coded values.
Cryptographic key management mandates proper establishment and handling instead of embedding keys in code.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
PR.AA-01's credential/key-management processes can reduce the incentive to embed secrets but do not address or detect hard-coded values in source code, so the weakness remains fully possible.
PR.AA-02 addresses human identity proofing and per-person credential issuance at enrollment; it has no bearing on whether developers embed static credentials in software.
PR.DS-01 addresses encryption and integrity of stored data but never touches credential or key management practices, so it neither prevents hard-coded credentials nor removes any of their risk.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Education on secure configuration practices discourages technical staff from embedding or relying on hard-coded credentials in systems and applications.
Secure key-generation, distribution and storage procedures reduce the likelihood that hard-coded or default cryptographic keys will be introduced or left unprotected.
Explicit prohibition of hard-coded passwords and unauthenticated external services stops credentials from being embedded directly in source code.
Contractual requirements for secure coding practices and evidence of testing make it less likely that hard-coded credentials will be introduced or remain undetected in delivered code.