Security Scan Report: unemployed-maroon-kxv7qz8ehm-unlvranu73.edgeone.app

Submitted: Mar 31, 2026, 8:03:10 AMCompleted: Mar 31, 2026, 8:04:30 AMpubliccompleted
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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 unemployed-maroon-kxv7qz8ehm-unlvranu73.edgeone.app and was registered NaN years ago.

Submitted URL: https://unemployed-maroon-kxv7qz8ehm-unlvranu73.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: 95%

0
Risk Score

No suspicious activity detected; the site appears legitimate.

Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
No JavaScript malware detected
Low JavaScript obfuscation (standard minification)
No cross‑origin credential exfiltration or network IDS alerts
Domain age information unavailable

Details

Page Title

Perfect Circle | Amritash

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(80%)

Domain Information

You're looking at domain 'unemployed-maroon-kxv7qz8ehm-unlvranu73.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'unemployed-maroon-kxv7qz8ehm-unlvranu73'. The core label 'edgeone' covers 7 characters with four vowels and three consonants. Breaking it apart gives 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-maroon-kxv7qz8ehm-unlvranu73.edgeone.app/

Page Load Overview

0.15s
Total Load Time
2
HTTP Requests
1
Domains
22 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:205 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical80% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
80%
cryptocurrency blockchain
60%
adult content
39%
healthcare medical
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

T1D43382491EF71025D457E06E2FAF1209F321A10B694BDD1C3EAC53944F427B58ABEFA8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:Os6r76R9bNzCasYQ55HrukW6rAosgZruFzmZy:58n5Hz5tuFqZy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:53873:FIgg6aDQBBVBWkAUg1YLAhtAWZgoBZvYSQI1EAO8JKFVCgAMASEokABCuuECAhIcYBioxHUHwBkQQdJFoYijgpSACBasESQm

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:8000183c18180003
Perceptual Hash:885523558957ab77
Difference Hash:70e8f0b0f0f0e9f3
Wavelet Hash:983c3c3c3c3c3d1b
Color Hash:#933a1f

Other Hashes

Crop Resistant:70e8f0b0f0f0e9f3

Scan History

Scan history not available

Unable to load historical scan data