Security Scan Report: m-hasbullah-zuqzee0kps.edgeone.app

Submitted: Mar 9, 2026, 12:10:59 PMCompleted: Mar 9, 2026, 12:12:43 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 6 HTTP transactions. The main domain is m-hasbullah-zuqzee0kps.edgeone.app and was registered NaN years ago.

Submitted URL: https://m-hasbullah-zuqzee0kps.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: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

grid

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

unknown

(0%)

Domain Information

The domain 'm-hasbullah-zuqzee0kps.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'm-hasbullah-zuqzee0kps'. The registrable portion 'edgeone' spans 7 characters holding four vowels versus three consonants. Segmentation suggests two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://m-hasbullah-zuqzee0kps.edgeone.app/

Page Load Overview

0.74s
Total Load Time
4
HTTP Requests
1
Domains
174 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:10 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
443.152.26.58Singapore
41--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1692412FDFB5710511E415A6813463EF34F21AE8F3BA6937520D45E93E08A100AB7F8E9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:+Nk79vAgqPsjfNhbWdewlTHthUTgC6WzI7f8x1WpAi9wE33KCFXJ8:+NQpR1WdrlTHX69SxpAi6EnKCF58

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:221965:GGAksIkkiAiLQOlAAMMgJcCJBGUKJKsrELmZA4JEBBAEgqRIDgAB1IFLMiDbYV3IgKShuIiwYDFQCEASaRARYoFUgQCGSAii

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:9f8f0f0f1fffffff
Perceptual Hash:9d3de6e0001fe7e0
Difference Hash:3434347434003000
Wavelet Hash:0000000000f0f0f0
Color Hash:#b4d22d

Scan History

Scan history not available

Unable to load historical scan data