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Security Scan Report: prominent-blush-fqjaumyj7t-zazcup3y3h.edgeone.app

Submitted: Mar 8, 2026, 7:48:16 AMCompleted: Mar 8, 2026, 7:49:51 AMpubliccompleted
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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 prominent-blush-fqjaumyj7t-zazcup3y3h.edgeone.app and was registered NaN years ago.

Submitted URL: https://prominent-blush-fqjaumyj7t-zazcup3y3h.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: 70%

3
Risk Score

No malicious activity detected; the site is a newly created subdomain on edgeone.app, so treat it cautiously.

Risk Factors
New subdomain on free hosting platform with unknown creation date
Safety Factors
No credential or payment forms
No malicious Indicators of Compromise
No JavaScript malware detected
No cross‑origin credential exfiltration
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(69%)

Domain Information

Domain 'prominent-blush-fqjaumyj7t-zazcup3y3h.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'prominent-blush-fqjaumyj7t-zazcup3y3h'. The registrable portion 'edgeone' spans 7 characters containing 4 vowels alongside three consonants. It segments into two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://prominent-blush-fqjaumyj7t-zazcup3y3h.edgeone.app/

Page Load Overview

8.17s
Total Load Time
2
HTTP Requests
1
Domains
N/A
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:843 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software69% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
69%
documentation technical
42%
adult content
32%

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

T19402C6CAEBA705C8A82BC0682FFF5324222DE017C448CD5DB99E1F548F4518875FB2B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBVh1RaXQl:KrzhNK/lMHmGgdkqqd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8707:ICUC1noCBQc0NhUcAU2whAgiSAKGDQRBMFALCAACiHKQpIEMAMR0wxLAKYdCgNaAgzicVQCmSkBahCjFGAIOSC4COCaWIBEV

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:dcfcfcc0e0e0c0c0
Perceptual Hash:de9a98386c6563c3
Difference Hash:3030300000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#93401f

Other Hashes

Crop Resistant:3030300000000000

Scan History

Scan history not available

Unable to load historical scan data