Security Scan Report: accepted-turquoise-qzq1ukxyun-fhxxt72m4p.edgeone.app

Submitted: Jan 19, 2026, 12:56:51 PMCompleted: Jan 19, 2026, 12:58:02 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is accepted-turquoise-qzq1ukxyun-fhxxt72m4p.edgeone.app and was registered NaN years ago.

Submitted URL: https://accepted-turquoise-qzq1ukxyun-fhxxt72m4p.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: 92%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
Established domain (>2.5 years)
No forms collecting sensitive data
No malicious Indicators of Compromise
Standard hosting (not IPFS or cloud storage)
No redirects or URL manipulation
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(74% confidence)

Category

education learning

(36%)

Domain Information

The domain 'accepted-turquoise-qzq1ukxyun-fhxxt72m4p.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'accepted-turquoise-qzq1ukxyun-fhxxt72m4p'. Its registrable label 'edgeone' stretches across 7 characters with four vowels and three consonants. It segments into two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://accepted-turquoise-qzq1ukxyun-fhxxt72m4p.edgeone.app/

Page Load Overview

0.82s
Total Load Time
2
HTTP Requests
1
Domains
7 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:74%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:74%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:55 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

education learning36% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
36%
news media journalism
31%

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

T1E502B6CAEBA706C8A82BC0682FFB5314222DE057C448CD5DB99E5F548F4518475FB3B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gB4h1RaXQl:KrzhNK/lMHmGgdkqNd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8708:YAUC1nECpYsQNBWcAU2ihAQiSQGODQQAdFAJCKACjDKUCMEIAeR0wwKQCaeCgtaAkTycVQGmSMhaBAhBAAIXCS4COCaWRAUB

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:dcfcfcc0e0e0c0c0
Perceptual Hash:de9a98386c6563c3
Difference Hash:3030500000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#bf5940

Other Hashes

Crop Resistant:3030500000000000

Scan History

Scan history not available

Unable to load historical scan data