Security Scan Report: zwave-js.io

Redirected to: https://zwave-js.github.io/zwave-js/#/

Submitted: Jan 29, 2026, 5:20:42 PMCompleted: Jan 29, 2026, 5:21:54 PMpubliccompleted
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Summary

This website contacted 5 IPs in 1 country across 5 domains to perform 77 HTTP transactions. The main domain is zwave-js.github.io and was registered NaN years ago.

Submitted URL: https://zwave-js.io

Effective URL: https://zwave-js.github.io/zwave-js/#/Redirected

The Cisco Umbrella rank of the primary domain is #482,482 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate open‑source project site with no security concerns.

Safety Factors
Well‑established domain (>12 years old)
HTTPS connection
Open‑source project with clear documentation
No forms collecting sensitive data
Redirect to legitimate GitHub Pages host
Domain age information unavailable

Details

Page Title

Z-Wave JS - Z-Wave driver written entirely in JavaScript/TypeScript

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(39%)

Domain Information

The domain 'zwave-js.io' uses the British Indian Ocean Territory country-code top-level domain (.io) with no subdomain. The registrable portion 'zwave-js' spans 8 characters holding 2 vowels versus five consonants, along with 1 hyphen. Word splitting yields three words: z, wave, js. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://zwave-js.io

Page Load Overview

1.01s
Total Load Time
77
HTTP Requests
5
Domains
209 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:1,698 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software39% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
39%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17142.251.208.10United States
AS15169Google LLC
15172.217.16.163United States
AS15169Google LLC
15104.18.1.22United States
AS13335Cloudflare, Inc.
15188.114.97.3United States
AS13335Cloudflare, Inc.
15185.199.111.153United States
AS54113Fastly, Inc.
775--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17FB26D8B67E8461B172B0B4CFEB6B74C711FE1E853430D8170BEDE1D9E06B962E11A58

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:+O8FtLH9OgFt2HQ43FqDIIITnDmkMMkTQ2y1JFJUcrOEJS:38/Qgy/FFIITnDm6FY

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:24268:cMhhAKKEAUBhoiIwdJAihQoKMZMQSkR2gAkX5JhqgUDSyMJCDCZkEgdWAGaCoEA6I0DCyBaNFGOQAwBECCOAwMVfCIgmBQKX

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:feff4f41c9f3f3df
Perceptual Hash:f09186c77b629595
Difference Hash:c0909099998686bd
Wavelet Hash:7e7e4e40c06377c1
Color Hash:#8bd279

Other Hashes

Crop Resistant:c0909099998686bd

Scan History

Scan history not available

Unable to load historical scan data