Security Scan Report: earnotoday.github.io

Submitted: Mar 7, 2026, 8:05:02 PMCompleted: Mar 7, 2026, 8:06:37 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is earnotoday.github.io and was registered NaN years ago.

Submitted URL: https://earnotoday.github.io/goodfforyou.io/

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

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

No malicious activity detected; page is a standard GitHub Pages 404.

Safety Factors
Hosted on reputable platform (github.io)
Standard GitHub Pages 404 response
No external links or redirects
No tracking or data collection scripts
Domain age information unavailable

Details

Page Title

Site not found · GitHub Pages

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(80%)

Domain Information

The domain name 'earnotoday.github.io' uses the British Indian Ocean Territory country-code top-level domain (.io), featuring subdomain 'earnotoday'. Its registrable label 'github' stretches across 6 characters containing 2 vowels alongside four consonants. Word splitting yields three words: g, it, hub. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://earnotoday.github.io/goodfforyou.io/

Page Load Overview

8.18s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:756 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software80% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
80%
documentation technical
59%
adult content
49%
news media journalism
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1185.199.109.153United States
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B2126D7E19E93308D8028A1539B267993D65480F9E866E6EB9AD1351CF8FE10E1637CC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:Z5wnb1iC9OA9XXMa9kukrALQDUnulGVopLAGCALQD6vnglET31iCLL3Z:ZeB8H3DUulGmmv3D6vglETliCfJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9101:D0JABgEkGzS0q4xQ4k6ELXuIwDBSMm4MgATNQSAQgiYJUAoHzDEIMiCQESALE+xLNjxWggFohi2EgAzCSCZgYBxIg8SdCFvi

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:e7e7e7ffffffffff
Perceptual Hash:b33326cecccccc31
Difference Hash:080c0c0000000000
Wavelet Hash:c0c0c0c00f0f0f0f
Color Hash:#2d8386

Other Hashes

Crop Resistant:080c0c0000000000

Scan History

Scan history not available

Unable to load historical scan data