ScanMalware.com

Security Scan Report: andydanger.github.io

Redirected to: https://andydanger.github.io/live-lol-esports/#/

Submitted: Dec 20, 2025, 3:45:15 PMCompleted: Dec 20, 2025, 3:46:00 PMpubliccompleted
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Summary

This website contacted 12 IPs in 1 country across 8 domains to perform 20 HTTP transactions. The main domain is andydanger.github.io and was registered NaN years ago.

Submitted URL: https://andydanger.github.io/live-lol-esports/

Effective URL: https://andydanger.github.io/live-lol-esports/#/Redirected

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 site with no apparent security threats.

Safety Factors
Well‑established domain age
Reputable hosting platform (github.io)
No forms collecting sensitive data
No external links or redirects
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

LoL Live Esports

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(39%)

Domain Information

The domain 'andydanger.github.io' uses the British Indian Ocean Territory country-code top-level domain (.io) and includes subdomain 'andydanger'. The registrable portion 'github' spans 6 characters containing two vowels alongside 4 consonants. Word splitting yields 3 words: g, it, hub. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://andydanger.github.io/live-lol-esports/

Page Load Overview

1.89s
Total Load Time
20
HTTP Requests
8
Domains
683 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:134 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software39% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
39%
entertainment media
36%
documentation technical
36%
adult content
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1216.58.209.170United States
AS15169GOOGLE
1216.239.32.178United States
AS15169GOOGLE
1151.101.194.137United States
AS54113FASTLY
1216.58.209.195United States
AS15169GOOGLE
113.33.235.36New York, New York, United States
AS16509AMAZON-02
1216.239.32.36United States
AS15169GOOGLE
1216.58.210.168United States
AS15169GOOGLE
1216.239.34.36United States
AS15169GOOGLE
1185.199.108.153United States
AS54113FASTLY
1185.199.110.153United States
AS54113FASTLY
2012--

Detected Technologies5

JQueryv3.6.0
100%
Google-AnalyticsvUniversal
100%
HSTS
40%
GitHub Pages
40%
Fastly
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AE227EEAA394E0EC13934EEB7E73711D759B706F8F7264B4C0EC86A89426CC45511C68

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:PnQPj2YlqHxR8WsTUh8pmG6ZvqI6g5XeF5o2gl3flaUeO6w0:fYvfI5g7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10617:AYkkEy2CF02kv4MSFwIJpS4ETZjB0VAAokAwIyJQhJACIAACRJtQwDITAIgQIwsTIAl83XLCiEMSSmZChK8YCEAJJQQEEspZ

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:0019bd3d05050505
Perceptual Hash:aa1d283528ddcdea
Difference Hash:3131713105050505
Wavelet Hash:1101fffbf1f1c101
Color Hash:#c9d279

Other Hashes

Crop Resistant:9b9b9b9b9b9b93ac,3131713105010101

Scan History

Scan history not available

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