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Security Scan Report: accused-scarlet-jsnia9aep1-mbqiqlllxv.edgeone.app

Submitted: Feb 7, 2026, 6:18:19 AMCompleted: Feb 7, 2026, 6:19:57 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 accused-scarlet-jsnia9aep1-mbqiqlllxv.edgeone.app and was registered NaN years ago.

Submitted URL: https://accused-scarlet-jsnia9aep1-mbqiqlllxv.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

Site appears legitimate with no security concerns; currently unreachable.

Safety Factors
Well‑established domain (>2 years)
Minimal risk category from domain age analysis
Low ranking but within Cisco Umbrella top 500k
No external domains or links
No malicious JavaScript patterns detected
Domain age information unavailable

Details

Page Title

accused-scarlet-jsnia9aep1-mbqiqlllxv.edgeone.app

Scan Type

public

Language

🇨🇳

Chinese

(60% confidence)

Category

documentation technical

(55%)

Domain Information

The domain 'accused-scarlet-jsnia9aep1-mbqiqlllxv.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'accused-scarlet-jsnia9aep1-mbqiqlllxv'. The core label 'edgeone' covers 7 characters with 4 vowels and 3 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://accused-scarlet-jsnia9aep1-mbqiqlllxv.edgeone.app/

Page Load Overview

17.70s
Total Load Time
11
HTTP Requests
4
Domains
269 KB
Total Size

Language Analysis

Primary Language

🇨🇳Chinese
Code: zh
Confidence:60%
Script:Han
Direction:ltr

Detection Details

Language Code:zh
Detection Confidence:60%
Script Type:Han
HTML Lang Attribute:zh-CN
Text Length:836 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical55% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
55%
technology software
47%
cryptocurrency blockchain
35%
government public service
30%
adult content
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1143.152.26.58Singapore
AS139341ACE
111--

Detected Technologies1

Tailwind CSS
30%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DD048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:rfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIsz02bMy8OldK:UhoC9JSqzzbs6o3Sj3gcrsQ2eAw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184636:Ucz0GBCDICgUUpIRIAEioAAJSAQSgGUoP0CAB4jPCQVRIhCZBwAQBtpOAda+CAXREUEkQCAUELaAabWiBtFQMoQkIkICRkAA

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:f0d0c0c40f0f0f0f
Color Hash:#d28f79

Other Hashes

Crop Resistant:00180c1c00000000

Scan History

Scan history not available

Unable to load historical scan data