ScanMalware.com

Security Scan Report: ybenhayun.github.io

Submitted: Jun 21, 2026, 12:57:52 PMCompleted: Jun 21, 2026, 12:59:02 PMpubliccompleted
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Summary

This website contacted 5 IPs in 1 country across 5 domains to perform 2 HTTP transactions. The main domain is ybenhayun.github.io and was registered NaN years ago.

Submitted URL: https://ybenhayun.github.io/wordlebot/

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

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

The page shows no malicious activity, lacks credential collection, and has only weak risk indicators, so it is classified as low risk.

Risk Factors
Subdomain on a hosting platform with unknown creation date (potentially new)
Low Cisco Umbrella ranking (rank 621,173) – weak signal
Safety Factors
No forms or fields that collect credentials
No malicious JavaScript behavior detected
Standard minified JavaScript (low obfuscation score)
No external links to known malicious domains
Domain age information unavailable

Details

Page Title

WordleBot

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(63%)

Domain Information

The domain 'ybenhayun.github.io' uses the British Indian Ocean Territory country-code top-level domain (.io), featuring subdomain 'ybenhayun'. Count 6 characters in 'github' split between two vowels and 4 consonants. Splitting it apart reveals three words: g, it, hub. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ybenhayun.github.io/wordlebot/

Page Load Overview

2.40s
Total Load Time
20
HTTP Requests
5
Domains
1.2 MB
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:1,182 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software63% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
63%
documentation technical
56%
entertainment media
48%
adult content
34%
cryptocurrency blockchain
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4104.18.0.22United States
AS13335Cloudflare, Inc.
4151.101.1.155United States
AS54113Fastly, Inc.
4185.199.110.153United States
AS54113Fastly, Inc.
4104.17.24.14United States
AS13335Cloudflare, Inc.
4192.178.183.95United States
AS15169Google LLC
205--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11D121D114CB99873106B15DA24EA9A1974F8E737E3015084FAEC87F80FBBD9CC6EB456

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:n9aM5CX2EjeVAF4aW5WUxkx3rjvMHVDRHPA5HcpqvfzEFvbpjndu4JefkUuiAH77:99cGEj9we+TudE9bDUrbbs

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:9386:RgMsAgywDojANEAIToACgHRAyLVEQqAIAsAlKqGGApAAwgiGi1sggBkEGCIzhgrAgU9DgSOEGqsEWAYQYAUQg0uAEJiABEDp

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:1818181818180000
Perceptual Hash:ccd93364666666cc
Difference Hash:3032323232320c10
Wavelet Hash:1c1c181818180000
Color Hash:#5390ac

Other Hashes

Crop Resistant:3032323232320c10

Scan History

Scan history not available

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