Security Scan Report: vivacious-pink-eidx4w6qpq-e3h57e5mp1.edgeone.app

Submitted: Nov 28, 2025, 12:26:27 AMCompleted: Nov 28, 2025, 12:30:44 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 2 domains to perform 7 HTTP transactions. The main domain is vivacious-pink-eidx4w6qpq-e3h57e5mp1.edgeone.app.

Submitted URL: https://vivacious-pink-eidx4w6qpq-e3h57e5mp1.edgeone.app/

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

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

home page

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'vivacious-pink-eidx4w6qpq-e3h57e5mp1.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'vivacious-pink-eidx4w6qpq-e3h57e5mp1'. The second-level label 'edgeone' is 7 characters long containing 4 vowels alongside 3 consonants. It segments into two 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://vivacious-pink-eidx4w6qpq-e3h57e5mp1.edgeone.app/

Page Load Overview

0.20s
Total Load Time
7
HTTP Requests
2
Domains
127 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:593 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
443.152.26.58Singapore
3104.16.175.226United States
AS13335CLOUDFLARENET
1104.16.174.226United States
AS13335CLOUDFLARENET
12606:4700::6810:afe2United States
AS13335CLOUDFLARENET
12606:4700::6810:aee2United States
AS13335CLOUDFLARENET
75--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13D51311789F0301B1152468E75FCA715BCD78227F61A298470BF93981FE2E4B143BE29

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TZZ8W15dJE3gO1WE55DRxcIU88MyG8l7MIKr8:TnV15dJKgOHRxcn7a8lfKr8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2720:AIhwAAEACAAAARCgQwwAEAAAAACQAAOAgDAQSLEBAAACEAAIAQAEAAIoAAAJEAAAABACIQABEAAw4RgiAFCAAAJgQEUQAAAA

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:0000ffff7f00007d
Perceptual Hash:803f3a6ac8b6f6c1
Difference Hash:25b7f4b0f2e18595
Wavelet Hash:0000ffff7f00317d
Color Hash:#2d8686

Scan History

Scan history not available

Unable to load historical scan data