Security Scan Report: arrogant-amaranth-qlbe4qtobn-hbhyfrzpu9.edgeone.app

Submitted: Feb 22, 2026, 12:56:27 PMCompleted: Feb 22, 2026, 12:57:42 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is arrogant-amaranth-qlbe4qtobn-hbhyfrzpu9.edgeone.app and was registered NaN years ago.

Submitted URL: https://arrogant-amaranth-qlbe4qtobn-hbhyfrzpu9.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: 88%

0
Risk Score

No security concerns detected; the site appears legitimate.

Safety Factors
No credential or payment forms present
Hosted on a known platform (edgeone.app) with no suspicious activity
No malicious Indicators of Compromise or JavaScript malware detected
Domain age information unavailable

Details

Page Title

arrogant-amaranth-qlbe4qtobn-hbhyfrzpu9.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(28%)

Domain Information

Domain 'arrogant-amaranth-qlbe4qtobn-hbhyfrzpu9.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'arrogant-amaranth-qlbe4qtobn-hbhyfrzpu9'. The second-level label 'edgeone' is 7 characters long holding 4 vowels versus three consonants. Splitting it apart reveals two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://arrogant-amaranth-qlbe4qtobn-hbhyfrzpu9.edgeone.app/

Page Load Overview

1.21s
Total Load Time
9
HTTP Requests
3
Domains
569 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:3,446 chars
Detector Agreement:67%

Website Classification

Primary Category

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

All Detected Categories

government public service
28%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
943.152.26.58Singapore
91--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16B048E773296063986558498F05B43099F20B143F50AC9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:lfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszM2bMy8Oldq:ChoC9JSqzzbs6o3Sj3gcrsY2eAQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184646:QgwelJgAIIC6KAhQDSWwN1NLBwJRlYB0AKiIQiIpJCZmceEAoERGUaUqAMADQj0LCgYEEEwVDAVANLwxgUoAUFESqDrIZCMG

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:ffcfc3c7ffffffff
Perceptual Hash:b331cccccc333333
Difference Hash:00180c1c00000000
Wavelet Hash:3f1f03070f0f0f0f
Color Hash:#ac8153

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data