Security Scan Report: squealing-green-s2xnevy7ma-c8xaozitik.edgeone.app

Submitted: Feb 5, 2026, 7:43:49 AMCompleted: Feb 5, 2026, 7:45:20 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 squealing-green-s2xnevy7ma-c8xaozitik.edgeone.app and was registered NaN years ago.

Submitted URL: https://squealing-green-s2xnevy7ma-c8xaozitik.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 malicious activity detected; site appears legitimate.

Safety Factors
Well‑established domain (> 2 years old)
No malicious Indicators of Compromise
No credential or payment collection forms
No external malicious domains linked
No JavaScript malware detected
Domain age information unavailable

Details

Page Title

squealing-green-s2xnevy7ma-c8xaozitik.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(68%)

Domain Information

The domain name 'squealing-green-s2xnevy7ma-c8xaozitik.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'squealing-green-s2xnevy7ma-c8xaozitik'. The core label 'edgeone' covers 7 characters with four vowels and 3 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://squealing-green-s2xnevy7ma-c8xaozitik.edgeone.app/

Page Load Overview

8.07s
Total Load Time
1
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 software68% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
68%
documentation technical
41%
adult content
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T120048E77329A063986558498E05B430D9F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:ifQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz42bMy8Old8:ZhoC9JSqzzbs6o3Sj3gcrsk2eAa

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184636:EypQCEIBJQI0AHcUwAAWLqAFUARnhE2itRI4AwDfiQUy8CoMBQAQYixGQHIiDFziimCh4yAEAmJUYBbEQpIAcADKMAhELFBA

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:b333cccccc233333
Difference Hash:00180c1c00000000
Wavelet Hash:ffdfc3c700000000
Color Hash:#b279d2

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data