Security Scan Report: exceptional-beige-yf5swbqkdh-zkvyaqf6an.edgeone.app

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Submitted: May 5, 2026, 8:29:42 PMCompleted: May 5, 2026, 8:31:05 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is exceptional-beige-yf5swbqkdh-zkvyaqf6an.edgeone.app and was registered NaN years ago.

Submitted URL: https://exceptional-beige-yf5swbqkdh-zkvyaqf6an.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: 78%

2
Risk Score

Low risk site; no malicious activity detected, but unknown subdomain age warrants caution.

Risk Factors
Subdomain on hosting platform with unknown creation date
Low domain ranking (455,732) without established reputation
Safety Factors
Absence of login, payment, or credential‑harvesting forms
No network IDS alerts or suspicious cross‑origin activity
Content appears to be an educational exam page
Domain age information unavailable

Details

Page Title

Selective School Writing Exam

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(32%)

Domain Information

Within the application-focused generic top-level domain (.app), 'exceptional-beige-yf5swbqkdh-zkvyaqf6an.edgeone.app' is registered and includes subdomain 'exceptional-beige-yf5swbqkdh-zkvyaqf6an'. The registrable portion 'edgeone' spans 7 characters split between 4 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://exceptional-beige-yf5swbqkdh-zkvyaqf6an.edgeone.app/

Page Load Overview

0.56s
Total Load Time
2
HTTP Requests
1
Domains
5 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:856 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning32% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
32%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13DF1669BBAF305166C57E4753BEB43853730D007850ACA787EDCA2A8CF4A9C458A774C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:vBVjnlySJD84Qo4/gR4AuJkjjuroUM6r2SMhcG:lQoxR4AuJkjjusx6rbM7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7955:CCQYBNhFkWgaBQqlUIApiTAkSoJ9RFAD0tHyQggsQBiAEUhJQRlUgiIKIMkgRC4yWY42VECHkBBBMAISijCRNAgYCKEAUhJw

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:ffffffe7e7e7ffff
Perceptual Hash:e69999666699938c
Difference Hash:0000284c4c281008
Wavelet Hash:c0c0fce4e4e0c0c0
Color Hash:#aad279

Other Hashes

Crop Resistant:0000284c4c281008

Scan History

Scan history not available

Unable to load historical scan data