Security Scan Report: zrok.io

Submitted: Dec 5, 2025, 10:38:16 AMCompleted: Dec 5, 2025, 10:41:01 AMpubliccompleted
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Summary

This website contacted 31 IPs in 3 countries across 10 domains to perform 52 HTTP transactions. The main domain is zrok.io and was registered NaN years ago.

Submitted URL: https://zrok.io/

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Home - zrok by NetFoundry

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

other

(46%)

Domain Information

You're looking at domain 'zrok.io' on the British Indian Ocean Territory country-code top-level domain (.io) and has no subdomain. The second-level label 'zrok' is 4 characters long with 1 vowel and 3 consonants. Breaking it apart gives 2 words: z, rok. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://zrok.io/

Page Load Overview

2.16s
Total Load Time
52
HTTP Requests
10
Domains
1.8 MB
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-US
Text Length:2,588 chars
Detector Agreement:100%

Website Classification

Primary Category

other46% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

other
46%
corporate
35%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
32104.199.116.47The Dalles, Oregon, United States
AS396982GOOGLE-CLOUD-PLATFORM
7142.250.185.227United States
AS15169GOOGLE
4216.58.206.72United States
AS15169GOOGLE
2216.239.34.36United States
AS15169GOOGLE
174.125.206.155United States
AS15169GOOGLE
118.66.102.106United States
AS16509AMAZON-02
1140.82.121.5Frankfurt am Main, Hesse, Germany
AS36459GITHUB
1142.251.140.164United States
AS15169GOOGLE
1142.250.184.195United States
AS15169GOOGLE
165.9.175.27United States
AS16509AMAZON-02
5231--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11444C7133E635028312F11AFA053774C60628ECAD6A776F6F5729067E3F9C9037A7A58

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:X+mg1ALNLc2SEnyE+XyZ1V+hvoFW924hT84t3UJQ14WdzdHUfh3pqpJiP0zPephD:X+mghaAePjX6uDZMzMOgV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:278254:AQUJaApBRZKsoC08LAM0imoDsTkBAWYW0GAcrm4AECAACEABQgYAhjiggKQwADIgOzA0CGBEUEEKCFKUAoJkWAAAeFpCaRD3

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:0208680c6d0d0519
Perceptual Hash:93656c939964e5d1
Difference Hash:96dbd1c999d9c933
Wavelet Hash:42486d6f4d6f0d39
Color Hash:#2d5b86

Scan History

Scan history not available

Unable to load historical scan data