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Security Scan Report: assignment-m12-r8rzvvrnsz.edgeone.app

Submitted: Mar 21, 2026, 9:53:29 AMCompleted: Mar 21, 2026, 9:54:47 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 1 HTTP transaction. The main domain is assignment-m12-r8rzvvrnsz.edgeone.app and was registered NaN years ago.

Submitted URL: https://assignment-m12-r8rzvvrnsz.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

Low risk site; no malicious activity detected, but subdomain may be newly created.

Risk Factors
Subdomain on hosting platform with unknown creation date (potentially new)
Safety Factors
No forms or password fields present
No malicious Indicators of Compromise
No JavaScript malware detected
Only benign external resources (fonts.googleapis.com, fonts.gstatic.com)
No network IDS alerts
Domain age information unavailable

Details

Page Title

Little Stars Childcare News - July 2026

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(88%)

Domain Information

The domain name 'assignment-m12-r8rzvvrnsz.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'assignment-m12-r8rzvvrnsz'. The registrable portion 'edgeone' spans 7 characters split between four vowels and 3 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://assignment-m12-r8rzvvrnsz.edgeone.app/

Page Load Overview

0.89s
Total Load Time
10
HTTP Requests
3
Domains
214 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:14,292 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning88% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
88%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4142.251.127.94United States
AS15169
343.152.26.58Singapore
AS139341ACE
3216.58.206.42United StatesUnknown
103--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D9A3C720A2E8142771524958A6357E6B7A5B80CBC30E431432DC16F9FFA69E7ED732DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Uoso+QCYb+z1S/h5co/9E8KuGOET6y/9N780V9fWy279R98YZ9TEc6RQmim:oQCYb+z1M9E8KuE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:104111:FSQUVakHCQwL8gAli4pCCgiQ0IQQA1AkN+B8GEgBASUEBJ9AIEAgIEEFsDiSkVxARoYmigiEaGoAILISLxIQVsQF6p4TjYYA

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:f7c3c3ffd3ffffff
Perceptual Hash:a6329bcececb6424
Difference Hash:680f864d15616161
Wavelet Hash:2623030f333f3d3d
Color Hash:#783a3e

Other Hashes

Crop Resistant:680f864d15616161

Scan History

Scan history not available

Unable to load historical scan data