Security Scan Report: superb-aqua-xb1jjzq9m2-inj054g9h6.edgeone.app

Submitted: Apr 28, 2026, 9:34:02 AMCompleted: Apr 28, 2026, 9:35:09 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is superb-aqua-xb1jjzq9m2-inj054g9h6.edgeone.app and was registered NaN years ago.

Submitted URL: https://superb-aqua-xb1jjzq9m2-inj054g9h6.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

The site appears benign with no malicious activity, but the subdomain is newly created and unranked, so treat it cautiously.

Risk Factors
Unknown subdomain age on a hosting platform
Low domain ranking in Cisco Umbrella
Safety Factors
No login, payment, or credential‑harvesting forms
No malicious JavaScript or network alerts
No external links or redirects
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

social media network

(78%)

Domain Information

The domain name 'superb-aqua-xb1jjzq9m2-inj054g9h6.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'superb-aqua-xb1jjzq9m2-inj054g9h6'. The registrable portion 'edgeone' spans 7 characters split between four vowels and 3 consonants. Word splitting yields 2 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://superb-aqua-xb1jjzq9m2-inj054g9h6.edgeone.app/

Page Load Overview

0.63s
Total Load Time
2
HTTP Requests
1
Domains
4 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:789 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%
documentation technical
72%
technology software
70%
news media journalism
60%
cryptocurrency blockchain
41%

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

T1E8230191AFF46FDCA41F81449B6D7B3F2A356003E48D418CB5AE0DB0AF49986F4BB065

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:shNIMi+EOP2B8WP+3G3enPGvWn+3m/Oi6LCpP2+doOCXi61EKGtY1d:wNIqEOP2B8WP+3G3enPGvWn+3m/Oi6Lz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:48244:kBSoAKsKCVVEKiQyCgGYhiBqjFEsQIBhNQgOABQrGmQ0QIEWzcAmSzNyc6EMYkSMBB0SDQ4mxiEpUA1WERKqiDZIIDQCIhVD

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:1c1c3c3c3c3c3c3c
Perceptual Hash:de7c343838aac3c3
Difference Hash:3030607171616161
Wavelet Hash:9c3c3c3c3c3c3c3c
Color Hash:#9f53ac

Other Hashes

Crop Resistant:3030607171616161

Scan History

Scan history not available

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