Security Scan Report: myblog-9a10nbbwr4.edgeone.app

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Submitted: Mar 4, 2026, 5:18:33 AMCompleted: Mar 4, 2026, 5:19:48 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 36 HTTP transactions. The main domain is myblog-9a10nbbwr4.edgeone.app and was registered NaN years ago.

Submitted URL: https://myblog-9a10nbbwr4.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

Xqd Blog

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(31%)

Domain Information

The domain 'myblog-9a10nbbwr4.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'myblog-9a10nbbwr4'. The second-level label 'edgeone' is 7 characters long with 4 vowels and 3 consonants. Breaking it apart gives 2 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://myblog-9a10nbbwr4.edgeone.app/

Page Load Overview

1.24s
Total Load Time
37
HTTP Requests
1
Domains
750 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:304 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning31% confidence
Type: spa
Method: ml+structural

All Detected Categories

education learning
31%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3743.152.26.58Singapore
371--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T139E2F8357000CD4EAC679D1D367EAD3C928DC22BC992DD68F39CC8624691CF89BA79D1

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:ysr7bycuupFkloTXVTjoP0ZX4VAhr7OlpAGh3XDTDvDr/7XGMlvTu8X5eCcR:DFkkR+0ZX4VANyZf7/Sj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:33585:kNgAAi40DanQiZUHMBoEh4kPEgbhWbBgaNCQhSaFRAEhKCYEqxgAFEyDxEIsRjbAgQFAOgMGhDARAEBcKIhQgFIrDSAYKBID

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:ffffe7efffc3c3c3
Perceptual Hash:f59b2c6c9b649322
Difference Hash:10100c1c08161616
Wavelet Hash:eeeee6e6e4c0c0c0
Color Hash:#93821f

Other Hashes

Crop Resistant:10100c1c08161616

Scan History

Scan history not available

Unable to load historical scan data