Security Scan Report: buttons.github.io

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Submitted: Nov 24, 2025, 5:38:40 PMCompleted: Nov 24, 2025, 5:40:59 PMpubliccompleted
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Summary

This website contacted 8 IPs in 1 country across 1 domain to perform 5 HTTP transactions. The main domain is buttons.github.io.

Submitted URL: https://buttons.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: 92%

0
Risk Score

The site is a legitimate GitHub Pages page with no security concerns.

Safety Factors
Official GitHub Pages subdomain
Static content with no data collection
Domain age information unavailable

Details

Page Title

github:buttons

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(43%)

Domain Information

Domain 'buttons.github.io' uses the British Indian Ocean Territory country-code top-level domain (.io) and includes subdomain 'buttons'. Its registrable label 'github' stretches across 6 characters split between 2 vowels and four consonants. Splitting it apart reveals 3 words: g, it, hub. Median word length comes out to two characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.44s
Total Load Time
5
HTTP Requests
1
Domains
70 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:282 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software43% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
43%
documentation technical
36%
download file sharing
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5185.199.111.153United States
AS54113FASTLY
0185.199.110.153United States
AS54113FASTLY
0185.199.109.153San Francisco, California, United States
AS54113FASTLY
0185.199.108.153United States
AS54113FASTLY
02606:50c0:8000::153United States
AS54113FASTLY
02606:50c0:8002::153United States
AS54113FASTLY
02606:50c0:8003::153United States
AS54113FASTLY
02606:50c0:8001::153United States
AS54113FASTLY
58--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EA12EF4266945EAD0C77C8D4C5E76A8022A7E28FE6246A817FDCC7A48FCFCC5F943914

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:S1H2CWkWw0F8qfgRqWrge+eceGece8eeece8eUefuekeE:SBVrtqfxLeceGece8eeece8eUefuekeE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9082:BrRIciANcpFImgEgAElgMC4cJQLUhBBUhEEWwEcxQAgUICgEgBIML7cs4CnIAGx4IKiqfBhAIwZimGwAmgQqgSQLQAixwGBc

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:9d83e3ffffffffff
Perceptual Hash:af2f3e1e9a8a8283
Difference Hash:6107020000000000
Wavelet Hash:008181ff0f0f0f0f
Color Hash:#7aac53

Other Hashes

Crop Resistant:6107020000000000

Scan History

Scan history not available

Unable to load historical scan data