CVE-2026-35038: CWE-20: Improper Input Validation in SignalK signalk-server
Signal K Server is a server application that runs on a central hub in a boat. Prior to version 2.24.0, there is an arbitrary prototype read vulnerability via `from` field bypass. This vulnerability allows a low-privileged authenticated user to bypass prototype boundary filtering to extract internal functions and properties from the global prototype object this violates data isolation and lets a user read more than they should. This issue has been patched in version 2.24.0.
AI Analysis
Technical Summary
SignalK Server is a server application designed to run on a central hub in marine vessels, facilitating data exchange and management. Prior to version 2.24.0, the server contained an input validation flaw classified under CWE-20 (Improper Input Validation), CWE-125 (Out-of-bounds Read), and CWE-200 (Exposure of Sensitive Information). Specifically, the vulnerability arises from insufficient filtering of the 'from' field in requests, which allows a low-privileged authenticated user to bypass prototype boundary protections. By exploiting this, an attacker can perform an arbitrary prototype read, accessing internal functions and properties from the global prototype object. This breaks the intended data isolation model, potentially exposing sensitive internal data that should not be accessible to such users. The flaw does not require user interaction and can be exploited remotely over the network, given authentication. The vulnerability has been assigned CVE-2026-35038 and carries a CVSS 4.0 base score of 2.1, reflecting low severity due to limited impact and the requirement for authentication. The issue was addressed and patched in SignalK Server version 2.24.0. There are no known public exploits or active exploitation campaigns reported at this time.
Potential Impact
The primary impact of this vulnerability is unauthorized disclosure of internal server data due to prototype pollution read access. While it does not allow code execution or privilege escalation, the exposure of internal functions and properties can aid attackers in reconnaissance or facilitate further attacks if combined with other vulnerabilities. For organizations operating marine vessels using SignalK Server, this could lead to leakage of sensitive operational data or internal server state, potentially compromising operational security. However, the requirement for authenticated access and the low CVSS score limit the scope and severity of impact. The vulnerability does not affect availability or integrity directly but undermines confidentiality. Given the niche deployment of SignalK Server in marine environments, the overall impact is moderate but should not be ignored, especially for critical maritime operations relying on secure data isolation.
Mitigation Recommendations
The most effective mitigation is to upgrade SignalK Server to version 2.24.0 or later, where this vulnerability has been patched. Organizations should implement strict access controls to limit authenticated user privileges, minimizing the risk from low-privileged users. Additionally, monitoring and logging of access to the 'from' field or suspicious prototype-related requests can help detect exploitation attempts. Developers and administrators should review input validation mechanisms to ensure robust prototype boundary enforcement and avoid similar prototype pollution issues. Employing runtime application self-protection (RASP) or web application firewalls (WAFs) with custom rules targeting prototype pollution patterns may provide additional defense layers. Regular security audits and code reviews focusing on input validation and prototype handling are recommended to prevent recurrence.
Affected Countries
United States, United Kingdom, Norway, Netherlands, Germany, Japan, Australia, Canada, France, Singapore
CVE-2026-35038: CWE-20: Improper Input Validation in SignalK signalk-server
Description
Signal K Server is a server application that runs on a central hub in a boat. Prior to version 2.24.0, there is an arbitrary prototype read vulnerability via `from` field bypass. This vulnerability allows a low-privileged authenticated user to bypass prototype boundary filtering to extract internal functions and properties from the global prototype object this violates data isolation and lets a user read more than they should. This issue has been patched in version 2.24.0.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
SignalK Server is a server application designed to run on a central hub in marine vessels, facilitating data exchange and management. Prior to version 2.24.0, the server contained an input validation flaw classified under CWE-20 (Improper Input Validation), CWE-125 (Out-of-bounds Read), and CWE-200 (Exposure of Sensitive Information). Specifically, the vulnerability arises from insufficient filtering of the 'from' field in requests, which allows a low-privileged authenticated user to bypass prototype boundary protections. By exploiting this, an attacker can perform an arbitrary prototype read, accessing internal functions and properties from the global prototype object. This breaks the intended data isolation model, potentially exposing sensitive internal data that should not be accessible to such users. The flaw does not require user interaction and can be exploited remotely over the network, given authentication. The vulnerability has been assigned CVE-2026-35038 and carries a CVSS 4.0 base score of 2.1, reflecting low severity due to limited impact and the requirement for authentication. The issue was addressed and patched in SignalK Server version 2.24.0. There are no known public exploits or active exploitation campaigns reported at this time.
Potential Impact
The primary impact of this vulnerability is unauthorized disclosure of internal server data due to prototype pollution read access. While it does not allow code execution or privilege escalation, the exposure of internal functions and properties can aid attackers in reconnaissance or facilitate further attacks if combined with other vulnerabilities. For organizations operating marine vessels using SignalK Server, this could lead to leakage of sensitive operational data or internal server state, potentially compromising operational security. However, the requirement for authenticated access and the low CVSS score limit the scope and severity of impact. The vulnerability does not affect availability or integrity directly but undermines confidentiality. Given the niche deployment of SignalK Server in marine environments, the overall impact is moderate but should not be ignored, especially for critical maritime operations relying on secure data isolation.
Mitigation Recommendations
The most effective mitigation is to upgrade SignalK Server to version 2.24.0 or later, where this vulnerability has been patched. Organizations should implement strict access controls to limit authenticated user privileges, minimizing the risk from low-privileged users. Additionally, monitoring and logging of access to the 'from' field or suspicious prototype-related requests can help detect exploitation attempts. Developers and administrators should review input validation mechanisms to ensure robust prototype boundary enforcement and avoid similar prototype pollution issues. Employing runtime application self-protection (RASP) or web application firewalls (WAFs) with custom rules targeting prototype pollution patterns may provide additional defense layers. Regular security audits and code reviews focusing on input validation and prototype handling are recommended to prevent recurrence.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- GitHub_M
- Date Reserved
- 2026-03-31T21:06:06.428Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 69cec35ae6bfc5ba1dfb4ce8
Added to database: 4/2/2026, 7:28:26 PM
Last enriched: 4/2/2026, 7:29:42 PM
Last updated: 4/3/2026, 5:31:52 AM
Views: 6
Community Reviews
0 reviewsCrowdsource mitigation strategies, share intel context, and vote on the most helpful responses. Sign in to add your voice and help keep defenders ahead.
Want to contribute mitigation steps or threat intel context? Sign in or create an account to join the community discussion.
Actions
Updates to AI analysis require Pro Console access. Upgrade inside Console → Billing.
Need more coverage?
Upgrade to Pro Console for AI refresh and higher limits.
For incident response and remediation, OffSeq services can help resolve threats faster.
Latest Threats
Check if your credentials are on the dark web
Instant breach scanning across billions of leaked records. Free tier available.