Security Scan Report: amazing-azure-ipigdyzo5p-mw7q13pemn.edgeone.app

Submitted: Mar 8, 2026, 3:49:32 PMCompleted: Mar 8, 2026, 3:51:09 PMpubliccompleted
Loading additional data...

Summary

This website contacted 3 IPs in 1 country across 3 domains to perform 12 HTTP transactions. The main domain is amazing-azure-ipigdyzo5p-mw7q13pemn.edgeone.app and was registered NaN years ago.

Submitted URL: https://amazing-azure-ipigdyzo5p-mw7q13pemn.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: 92%

0
Risk Score

The site appears legitimate with no malicious indicators or phishing content.

Safety Factors
Hosted on a known free‑hosting platform (edgeone.app) but no suspicious activity observed
No cross‑origin credential exfiltration or network IDS alerts
Domain age unknown but no brand claims or malicious behavior present
Domain age information unavailable

Details

Page Title

Cooper Leggett

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(73%)

Domain Information

You're looking at domain 'amazing-azure-ipigdyzo5p-mw7q13pemn.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'amazing-azure-ipigdyzo5p-mw7q13pemn'. The registrable portion 'edgeone' spans 7 characters holding 4 vowels versus 3 consonants. Breaking it apart gives 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://amazing-azure-ipigdyzo5p-mw7q13pemn.edgeone.app/

Page Load Overview

8.18s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:837 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software73% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
73%
documentation technical
44%
adult content
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1142.251.141.131Singapore
043.152.26.58Singapore
0172.217.20.138Singapore
13--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T184A2B523635402624417E69273C7772EB270D103C8468AB8B6AF4988CFDEAF9D79374D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:VrBsXSie2V0GKjXmO5PBTg42ec7PKHjBoN8R37Vi2dqP3TTclNb2lwp:DNbeeps2cfTTW92m

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21944:oAByUAzcMolADAY0JAQIEKEiUEDSKEUkVkJmVPKghVsLADEsuiO+9WnAQggOFACZgBMooWKEkFACoKSYsCSQExgMSEAAECRC

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:fff13131393c7dff
Perceptual Hash:8f6ff0d01f0704f8
Difference Hash:c023654141c1c108
Wavelet Hash:f0f030303038fdff
Color Hash:#78703a

Other Hashes

Crop Resistant:c023654141c1c108

Scan History

Scan history not available

Unable to load historical scan data