Security Scan Report: impressed-apricot-ai1ofqqidz-86ytfw4ry1.edgeone.app

Submitted: Mar 19, 2026, 8:58:31 PMCompleted: Mar 19, 2026, 9:00:16 PMpubliccompleted
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Summary

This website contacted 4 IPs in 3 countries across 9 domains to perform 15 HTTP transactions. The main domain is impressed-apricot-ai1ofqqidz-86ytfw4ry1.edgeone.app and was registered NaN years ago.

Submitted URL: https://impressed-apricot-ai1ofqqidz-86ytfw4ry1.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 to be a legitimate school publication with no malicious indicators.

Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
Low JavaScript obfuscation (standard minification)
Content appears to be a legitimate school publication
Hosted on a free platform but exhibits no suspicious behavior
Domain age information unavailable

Details

Page Title

The Junior Williamite · mobile edition

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(52%)

Domain Information

Within the application-focused generic top-level domain (.app), 'impressed-apricot-ai1ofqqidz-86ytfw4ry1.edgeone.app' is registered and includes subdomain 'impressed-apricot-ai1ofqqidz-86ytfw4ry1'. The second-level label 'edgeone' is 7 characters long split between four vowels and 3 consonants. Splitting it apart reveals 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://impressed-apricot-ai1ofqqidz-86ytfw4ry1.edgeone.app/

Page Load Overview

33.91s
Total Load Time
15
HTTP Requests
9
Domains
36.2 MB
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:3,600 chars
Detector Agreement:75%

Website Classification

Primary Category

education learning52% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
52%
documentation technical
40%
adult content
36%
technology software
32%
news media journalism
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
643.152.26.58Singapore
3172.217.168.74United States
AS15169Google LLC
3142.251.141.67United States
AS15169Google LLC
3146.75.122.208Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
154--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C13362BA56EB00B71423C1C677A7579BB6E1C207C8878A557AEC8B884FCFD90E85350C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Gg4ABuKCEO/V68R5fhuvfsy8Q2tlojqhGwasqS:awzGQtS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:54399:BMHICmLFohDUESiRAjAoKIOYCAYEkwAWgAgCQRPEJKIQRDQlYO0bQQwBIB0ATCJIzWiPuEATeggWSR3FwkWAICN4EAVgUVgG

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:ffe7ffe7e7e6e6e4
Perceptual Hash:e699d8760d72cc98
Difference Hash:8e4d8c4d4cccccec
Wavelet Hash:e6e7e7a386e66400
Color Hash:#d2c72d

Scan History

Scan history not available

Unable to load historical scan data