Security Scan Report: www-bilal-abdullah8-px1c3ijcrk.edgeone.app

Submitted: Mar 1, 2026, 2:14:43 AMCompleted: Mar 1, 2026, 2:15:58 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 www-bilal-abdullah8-px1c3ijcrk.edgeone.app and was registered NaN years ago.

Submitted URL: https://www-bilal-abdullah8-px1c3ijcrk.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 93%

0
Risk Score

No suspicious indicators; site appears legitimate.

Safety Factors
Hosted on known platform (edgeone.app) with standard hosting
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware detected
Page content appears to be a simple file collection
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(74% confidence)

Category

documentation technical

(76%)

Domain Information

You're looking at domain 'www-bilal-abdullah8-px1c3ijcrk.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'www-bilal-abdullah8-px1c3ijcrk'. Its registrable label 'edgeone' stretches across 7 characters with four vowels and three consonants. Word splitting yields 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www-bilal-abdullah8-px1c3ijcrk.edgeone.app/

Page Load Overview

0.52s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:74%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:74%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:76 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

documentation technical76% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
76%
technology software
53%
news media journalism
38%
government public service
36%
healthcare medical
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F432B7C5EBE71AC8A41BC4685FFF67253229A013D84CC95CB99E0E648F45184B5FB2B4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gByeiRhjWhjhhj1h1RaXQl:KrzhNK/lMHmGgdkqJeUVWVhV1d

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11312:MV1C1nVAjYMwvJwEBQWikDACGCWEDRwBFJgJAAAPiDQeAIEIBKA2ywiACTcKAMaQkTzc1QEkzWP6hAhIoBIHaToROS4GRCEh

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:dcfcfcfcc0808000
Perceptual Hash:de9a3869689ac365
Difference Hash:3030706000000000
Wavelet Hash:dcfcfcfcc0e0c0c0
Color Hash:#2d864c

Other Hashes

Crop Resistant:3030706000000000

Scan History

Scan history not available

Unable to load historical scan data