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Security Scan Report: thorough-aquamarine-wwxgbs4jyw-t5zzozgdn4.edgeone.app

Submitted: Mar 28, 2026, 6:38:21 PMCompleted: Mar 28, 2026, 6:39:29 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 5 HTTP transactions. The main domain is thorough-aquamarine-wwxgbs4jyw-t5zzozgdn4.edgeone.app and was registered NaN years ago.

Submitted URL: https://thorough-aquamarine-wwxgbs4jyw-t5zzozgdn4.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%

1
Risk Score

No malicious activity detected; the site appears to be a benign file collection page.

Safety Factors
Absence of credential or payment forms
No malicious JavaScript or YARA detections
No brand impersonation or phishing language
Standard hosting platform subdomain without suspicious activity
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

technology software

(90%)

Domain Information

You're looking at domain 'thorough-aquamarine-wwxgbs4jyw-t5zzozgdn4.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'thorough-aquamarine-wwxgbs4jyw-t5zzozgdn4'. The second-level label 'edgeone' is 7 characters long holding 4 vowels versus three consonants. Breaking it apart gives 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://thorough-aquamarine-wwxgbs4jyw-t5zzozgdn4.edgeone.app/

Page Load Overview

0.51s
Total Load Time
2
HTTP Requests
1
Domains
9 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
HTML Lang Attribute:zh
Text Length:1,432 chars
Detector Agreement:100%
Language mismatch: Declared as zh but detected as en

Website Classification

Primary Category

technology software90% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
90%
adult content
85%
documentation technical
82%
cryptocurrency blockchain
82%
social media network
75%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
AS139341ACE
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13693E290EFF42FDC641E85449B7DBB3BAD266013A44D019CF59E0EB0AF89849E4BB075

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:wNIqx2iwmlZwaa4fn/X/f7RBJnnRL4p7P1jFX5QcokQgLfv8CEyKayc97Y2cYrd5:wSqx2iwmlZwaa4fn/X/f7RBJnnRL4p71

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:94610:wAGAWoMEKEXEPqkCKGSQCAMCYQEiR6Egc8AoQRBqMgKEAQEEl4KQSGmwVbymZKCSiTISxCEmKgnBAAUmPUQKqG1CBRDIA1gH

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:1c1c1c3c3c1c1c3c
Perceptual Hash:de3c343cc708c3e3
Difference Hash:b030313171713161
Wavelet Hash:dc9c3c3c3c3c1c3c
Color Hash:#5387ac

Other Hashes

Crop Resistant:b030313171713161

Scan History

Scan history not available

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