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Security Scan Report: theshepord.github.io

Submitted: May 3, 2026, 6:00:40 AMCompleted: May 3, 2026, 6:01:51 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 9 HTTP transactions. The main domain is theshepord.github.io and was registered NaN years ago.

Submitted URL: https://theshepord.github.io/intro-to-WSL/

The Cisco Umbrella rank of the primary domain is #621,173 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

Low‑risk technical documentation site with no malicious activity detected.

Risk Factors
Low Cisco Umbrella ranking (rank 621,173)
Subdomain creation date unknown (could be brand‑new)
Safety Factors
Hosted on reputable platform (github.io)
No malicious signals from IDS, YARA, or behavioral analysis
No brand impersonation in meta tags
No external malicious links
Domain age information unavailable

Details

Page Title

An introduction to Linux through Windows Subsystem for Linux | intro-to-WSL

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(79%)

Domain Information

Within the British Indian Ocean Territory country-code top-level domain (.io), 'theshepord.github.io' is registered and includes subdomain 'theshepord'. The registrable portion 'github' spans 6 characters split between 2 vowels and 4 consonants. Splitting it apart reveals 3 words: g, it, hub. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://theshepord.github.io/intro-to-WSL/

Page Load Overview

0.67s
Total Load Time
8
HTTP Requests
1
Domains
697 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-US
Text Length:17,489 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical79% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
79%
technology software
74%

Detected Features

Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8185.199.111.153United States
AS54113Fastly, Inc.
81--

Detected Technologies7

X-UA-Compatible
100%
MetaGenerator
100%
Ruby
50%
HSTS
40%
GitHub Pages
40%
Fastly
40%
Jekyll
30%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14DD2870A9B800226A222836739C57F59BB6F94D993C9AC303DED830CF3D78754567DDA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:U2rogtRJsqWqCe3uvlYnPNpo8hfKQl+MY38KGKjiKTWg9hIuzNQq:logtRJs/e3goPY/QQs1/qDIVq

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:30193:8nlsKtDsaRyCJEgEFSgCIAIgwAGHIIwDmDBgBgFtYRxgZ1AGAFEyBdqFAopBgrGEByRKEZABpPCwUFSg0dEwREmYULhgJMBE

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:0000ffffffffffff
Perceptual Hash:b30e0e0b13b3b3b3
Difference Hash:69618d1c9919199d
Wavelet Hash:0000c7c3cfcfcfc7
Color Hash:#783e3a

Other Hashes

Crop Resistant:69618d1c9919199d,6999656511710501

Scan History

Scan history not available

Unable to load historical scan data