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Signal K Server's WebSocket Login Endpoint Lacks Rate Limiting (Credential Brute-Force)

High severity GitHub Reviewed Published Apr 23, 2026 in SignalK/signalk-server • Updated May 4, 2026

Package

npm signalk-server (npm)

Affected versions

<= 2.24.0

Patched versions

2.25.0

Description

Summary

The HTTP login endpoints (POST /login and POST /signalk/v1/auth/login) are protected by express-rate-limit (default: 100 attempts per 10-minute window, configurable via HTTP_RATE_LIMITS). The WebSocket login path — sending {login: {username, password}} messages over an established WebSocket connection — calls app.securityStrategy.login() directly without any rate limiting.

An attacker can bypass HTTP rate limiting entirely by opening a WebSocket connection and attempting unlimited password guesses at the speed bcrypt allows (~20 attempts/sec with 10 salt rounds).

Details

Vulnerable code: src/interfaces/ws.ts, function processLoginRequest (lines 753-780)

The function directly calls app.securityStrategy.login(msg.login.username, msg.login.password) with no throttling or attempt tracking.

Rate-limited HTTP path for comparison: src/tokensecurity.ts lines 609-617 apply loginLimiter middleware to the HTTP login routes at line 637.

Steps to Reproduce

  1. Start Signal K server with security enabled
  2. Open a WebSocket connection to ws://server:3000/signalk/v1/stream?subscribe=none
  3. Wait for the hello message
  4. Send login attempts in rapid succession:
    {"requestId": "1", "login": {"username": "admin", "password": "guess1"}}
    {"requestId": "2", "login": {"username": "admin", "password": "guess2"}}
  5. Observe that all attempts are processed without any 429 response or throttling
  6. For comparison, send 100+ HTTP POST requests to /signalk/v1/auth/login — the 101st returns 429

A POC script is available that demonstrates both the HTTP rate limiting working correctly and the WebSocket path accepting unlimited attempts.

Impact

  • Credential brute-forcing via the WebSocket protocol at ~20 attempts/sec (bcrypt-limited)
  • Complete bypass of the HTTP rate limiting defense
  • A single WebSocket connection is sufficient for unlimited attempts
  • With multiple parallel connections, throughput multiplies
  • A 10,000-word dictionary attack completes in ~8 minutes over a single connection

Signal K servers are commonly deployed on boat networks where they may be accessible to other devices on the same LAN.

CWE

CWE-307: Improper Restriction of Excessive Authentication Attempts

Suggested Fix

Track failed login attempts per remote IP in a shared store (or reuse the existing express-rate-limit store) that is checked in both the HTTP login middleware and the processLoginRequest WebSocket handler.

Context

Found while building an open source maritime security scanner. Verified on v2.24.0 (current master).

Discovered by Mark Curphey

References

@tkurki tkurki published to SignalK/signalk-server Apr 23, 2026
Published to the GitHub Advisory Database May 4, 2026
Reviewed May 4, 2026
Last updated May 4, 2026

Severity

High

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v4 base metrics

Exploitability Metrics
Attack Vector Network
Attack Complexity Low
Attack Requirements None
Privileges Required None
User interaction None
Vulnerable System Impact Metrics
Confidentiality None
Integrity High
Availability None
Subsequent System Impact Metrics
Confidentiality None
Integrity None
Availability None

CVSS v4 base metrics

Exploitability Metrics
Attack Vector: This metric reflects the context by which vulnerability exploitation is possible. This metric value (and consequently the resulting severity) will be larger the more remote (logically, and physically) an attacker can be in order to exploit the vulnerable system. The assumption is that the number of potential attackers for a vulnerability that could be exploited from across a network is larger than the number of potential attackers that could exploit a vulnerability requiring physical access to a device, and therefore warrants a greater severity.
Attack Complexity: This metric captures measurable actions that must be taken by the attacker to actively evade or circumvent existing built-in security-enhancing conditions in order to obtain a working exploit. These are conditions whose primary purpose is to increase security and/or increase exploit engineering complexity. A vulnerability exploitable without a target-specific variable has a lower complexity than a vulnerability that would require non-trivial customization. This metric is meant to capture security mechanisms utilized by the vulnerable system.
Attack Requirements: This metric captures the prerequisite deployment and execution conditions or variables of the vulnerable system that enable the attack. These differ from security-enhancing techniques/technologies (ref Attack Complexity) as the primary purpose of these conditions is not to explicitly mitigate attacks, but rather, emerge naturally as a consequence of the deployment and execution of the vulnerable system.
Privileges Required: This metric describes the level of privileges an attacker must possess prior to successfully exploiting the vulnerability. The method by which the attacker obtains privileged credentials prior to the attack (e.g., free trial accounts), is outside the scope of this metric. Generally, self-service provisioned accounts do not constitute a privilege requirement if the attacker can grant themselves privileges as part of the attack.
User interaction: This metric captures the requirement for a human user, other than the attacker, to participate in the successful compromise of the vulnerable system. This metric determines whether the vulnerability can be exploited solely at the will of the attacker, or whether a separate user (or user-initiated process) must participate in some manner.
Vulnerable System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the VULNERABLE SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the VULNERABLE SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the VULNERABLE SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
Subsequent System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the SUBSEQUENT SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the SUBSEQUENT SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the SUBSEQUENT SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:H/VA:N/SC:N/SI:N/SA:N

EPSS score

Weaknesses

Improper Restriction of Excessive Authentication Attempts

The product does not implement sufficient measures to prevent multiple failed authentication attempts within a short time frame. Learn more on MITRE.

CVE ID

CVE-2026-41893

GHSA ID

GHSA-vmfm-ch9h-5c7g
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