Security Scan Report: elkan1788-github-io-10bez68e6b.edgeone.app

Submitted: Feb 22, 2026, 8:58:13 AMCompleted: Feb 22, 2026, 8:59:37 AMpubliccompleted
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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 elkan1788-github-io-10bez68e6b.edgeone.app and was registered NaN years ago.

Submitted URL: https://elkan1788-github-io-10bez68e6b.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

High Risk

Confidence: 70%

7
Risk Score

Site appears to impersonate GitHub on a new subdomain; treat as high‑risk phishing.

Risk Factors
Brand impersonation (GitHub) on a low‑rank, newly created subdomain
Subdomain on a free hosting platform with unknown creation date
Domain age unknown (potentially brand‑new)
Domain age information unavailable

Details

Page Title

elkan1788-github-io-10bez68e6b.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(28%)

Domain Information

The domain 'elkan1788-github-io-10bez68e6b.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'elkan1788-github-io-10bez68e6b'. The second-level label 'edgeone' is 7 characters long with 4 vowels and three consonants. Segmentation suggests two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://elkan1788-github-io-10bez68e6b.edgeone.app/

Page Load Overview

2.56s
Total Load Time
3
HTTP Requests
2
Domains
15 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:183 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical28% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
343.152.26.58Singapore
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AA048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:zfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszY2bMy8OldK:MhoC9JSqzzbs6o3Sj3gcrsk2eAQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184601:cqgiAwBcCBJEgQIwXQA9CCxDkBNiAUAD1MDcwRKLBQ4SFESDIJQIM6hAoQBm8FsmKER9E0hiUkBQBYYCujAFiAMUZZKAWhJM

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:ffcfc3c7ffffffff
Perceptual Hash:b131cccccc633367
Difference Hash:00180c1400000000
Wavelet Hash:3f1f030f00000000
Color Hash:#40bf53

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

Unable to load historical scan data