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Security Scan Report: unemployed-purple-oulte0qbx4-gmn9sf8xmr.edgeone.app

Submitted: Mar 2, 2026, 6:45:17 PMCompleted: Mar 2, 2026, 6:46:46 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is unemployed-purple-oulte0qbx4-gmn9sf8xmr.edgeone.app and was registered NaN years ago.

Submitted URL: https://unemployed-purple-oulte0qbx4-gmn9sf8xmr.edgeone.app/

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

AI Security Verdict

Moderate Risk

Confidence: 85%

4
Risk Score

No malicious activity detected, but the brand‑new subdomain on a free hosting platform suggests moderate risk.

Risk Factors
Subdomain on hosting platform with unknown creation date
Safety Factors
No malicious JavaScript patterns detected
No network IDS alerts
No external domains referenced
Page contains only static text, no credential collection
Domain age information unavailable

Details

Page Title

Result

Scan Type

public

Language

🇺🇸

English

(30% confidence)

Category

government public service

(28%)

Domain Information

Domain 'unemployed-purple-oulte0qbx4-gmn9sf8xmr.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'unemployed-purple-oulte0qbx4-gmn9sf8xmr'. Its registrable label 'edgeone' stretches across 7 characters holding 4 vowels versus three consonants. Splitting it apart reveals 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://unemployed-purple-oulte0qbx4-gmn9sf8xmr.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:30%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:30%
Script Type:Latin
Text Length:313 chars
Detector Agreement:50%

Website Classification

Primary Category

government public service28% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
28%
adult content
27%
education learning
26%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C161ED96A5F31593780798749BABAF0B3DE4A027C50BC9183F9EA2F9CF454D0A61330D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:rFPqpnLXHidnWNO2av4WkqV57zjjITzTiEa:pPKnLXHiI42aAWDV57XjUa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3465:ZAIAAcAABDAAAkAIAEGABAQQAAJRAQInEQBAhAARCCCAKIiCEAgAABIAFIQAAQAACEUQAAASEAAAAAKAAAhAgQCAEAACAAkI

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:3c3c241800000000
Perceptual Hash:93939bcccc6c6466
Difference Hash:6868281400000000
Wavelet Hash:3f3f270300000000
Color Hash:#6ce0de

Other Hashes

Crop Resistant:6868281400000000

Scan History

Scan history not available

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