Security Scan Report: innovative-white-nqacmuzkae-fb0thnc3cj.edgeone.app

Submitted: Feb 19, 2026, 9:31:33 AMCompleted: Feb 19, 2026, 9:32:46 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 innovative-white-nqacmuzkae-fb0thnc3cj.edgeone.app and was registered NaN years ago.

Submitted URL: https://innovative-white-nqacmuzkae-fb0thnc3cj.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 security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain (>2 years old)
No credential or payment forms present
No malicious Indicators of Compromise detected
No JavaScript malware patterns detected
Low risk category from domain age analysis
Domain age information unavailable

Details

Page Title

innovative-white-nqacmuzkae-fb0thnc3cj.edgeone.app

Scan Type

public

Language

🇺🇸

English

(72% confidence)

Category

social media network

(78%)

Domain Information

Within the application-focused generic top-level domain (.app), 'innovative-white-nqacmuzkae-fb0thnc3cj.edgeone.app' is registered and includes subdomain 'innovative-white-nqacmuzkae-fb0thnc3cj'. The core label 'edgeone' covers 7 characters split between four vowels and three consonants. Splitting it apart reveals two 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://innovative-white-nqacmuzkae-fb0thnc3cj.edgeone.app/

Page Load Overview

2.56s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:72%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:72%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:82 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

social media network78% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
78%
download file sharing
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12D048E773296063986558498E05B430D9F20B143F50AC9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:bfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszU2bMy8OldK:EhoC9JSqzzbs6o3Sj3gcrsQ2eAg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184641:CkAACBAbJYWgBAQmIwJgYBDZOhDIDhFmAwoBAC08oBKIsiAokiNiIMZAEADYEQYABA6BQphBgxSwAJRwElsI0RkATkbg1sog

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:3f1f0307f0f0f0f0
Color Hash:#1f9335

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data