Security Scan Report: upset-red-qgvvprwrdr-y2epsvy1qq.edgeone.app

Submitted: Feb 22, 2026, 9:49:24 PMCompleted: Feb 22, 2026, 9:50:38 PMpubliccompleted
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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 upset-red-qgvvprwrdr-y2epsvy1qq.edgeone.app and was registered NaN years ago.

Submitted URL: https://upset-red-qgvvprwrdr-y2epsvy1qq.edgeone.app/

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

AI Security Verdict

Moderate Risk

Confidence: 70%

5
Risk Score

Page is unreachable and shows a brand mismatch on a new subdomain; moderate risk but no active threats detected.

Risk Factors
Unreachable page prevents content verification
Brand mismatch between page title and domain
New/unknown subdomain on a free hosting platform
Safety Factors
No malicious Indicators of Compromise matches
No forms collecting sensitive data
No JavaScript malware patterns detected
No network IDS alerts
Domain age information unavailable

Details

Page Title

upset-red-qgvvprwrdr-y2epsvy1qq.edgeone.app

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(35%)

Domain Information

Domain 'upset-red-qgvvprwrdr-y2epsvy1qq.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'upset-red-qgvvprwrdr-y2epsvy1qq'. Its registrable label 'edgeone' stretches across 7 characters with 4 vowels and three consonants. Breaking it apart gives 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://upset-red-qgvvprwrdr-y2epsvy1qq.edgeone.app/

Page Load Overview

5.81s
Total Load Time
9
HTTP Requests
5
Domains
69 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:616 chars
Detector Agreement:67%

Website Classification

Primary Category

documentation technical35% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
943.152.26.58Singapore
91--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F3048F77329A063986558498F05B43099F20B143F506C9BCB9BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:CfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszy2bMy8Oldc:5hoC9JSqzzbs6o3Sj3gcrs+2eAi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184606:2CHgCwEY5MoRIBUkX0JYiEgwAyQFggcFKFAAtYgACfIGClBIJbFBkSJQYIo5gMRwKQIQQMCtKvBD8CUFsIBVIUkjSL6AsJAw

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:00181c1c00000000
Wavelet Hash:ffdfc3c700000000
Color Hash:#d2bb79

Other Hashes

Crop Resistant:00181c1c00000000

Scan History

Scan history not available

Unable to load historical scan data