Security Scan Report: afarkas.github.io

Submitted: Jan 8, 2026, 2:34:40 AMCompleted: Jan 8, 2026, 2:36:21 AMpubliccompleted

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is afarkas.github.io and was registered 13 years ago.

Submitted URL: https://afarkas.github.io

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate GitHub Pages site displaying a 404; no security concerns.

Safety Factors
Official GitHub-owned domain (github.io)
Long domain age indicating established site
Absence of suspicious content or forms
No external links or redirects
Domain age information unavailable

Details

Page Title

Site not found · GitHub Pagessecondary capture

Scan Type

public

Domain Name Analysis

Within the British Indian Ocean Territory country-code top-level domain (.io), 'afarkas.github.io' is registered; it also runs on subdomain 'afarkas'. The registrable portion 'github' spans 6 characters holding 2 vowels versus four consonants. Breaking it apart gives three words: g, it, hub. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://afarkas.github.io

Page Load Overview

15.00s
Total Load Time
5 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:56%
Script:Latin
Direction:ltr

Detection Details

Text Length:250 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical38% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1185.199.109.153United States
AS54113FASTLY
11--

Detected Technologies2

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:#4e3a78

Other Hashes

Crop Resistant:080c0c0000000000

Scan History

Scan history not available

Unable to load historical scan data