Security Scan Report: enthusiastic-purple-839br0ifal-q6rz7zacmh.edgeone.app

Submitted: Mar 28, 2026, 8:56:58 PMCompleted: Mar 28, 2026, 8:58:31 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is enthusiastic-purple-839br0ifal-q6rz7zacmh.edgeone.app and was registered NaN years ago.

Submitted URL: https://enthusiastic-purple-839br0ifal-q6rz7zacmh.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: 80%

1
Risk Score

No malicious activity detected; site appears legitimate.

Safety Factors
No forms or credential collection detected
No malicious Indicators of Compromise matches found
No JavaScript malware patterns detected
Low JavaScript obfuscation score (standard minification)
Domain ranking within top 1M (455,732) indicates some visibility
Domain age information unavailable

Details

Page Title

RetroRealm Apps - 2011 Vibes

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'enthusiastic-purple-839br0ifal-q6rz7zacmh.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'enthusiastic-purple-839br0ifal-q6rz7zacmh'. Count 7 characters in 'edgeone' with four vowels and 3 consonants. Splitting it apart reveals 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://enthusiastic-purple-839br0ifal-q6rz7zacmh.edgeone.app/

Page Load Overview

0.39s
Total Load Time
3
HTTP Requests
1
Domains
1 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:28 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
343.152.26.58Singapore
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T105E07D82C4F14008516481841DD0F40C0C8CC68AA34269007EC960A44F857D6CDC355C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:h4hqIY7YvfAbpli7vkQ0X67UgFyAEdpQCbQAqIbDHNWN8dwHKqz:hRjy7MAyAEdlq78g

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:f32495646e1a3bba67910667240d4981

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:0000000000000000
Perceptual Hash:8000000000000000
Difference Hash:0000000000000000
Wavelet Hash:0000000000000000
Color Hash:#2d3186

Other Hashes

Crop Resistant:0000000000000000

Scan History

Scan history not available

Unable to load historical scan data