Security Scan Report: huge-aquamarine-ysfiwpd9ik-m3vbu52ezc.edgeone.app

Submitted: Mar 11, 2026, 10:13:23 PMCompleted: Mar 11, 2026, 10:14:57 PMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is huge-aquamarine-ysfiwpd9ik-m3vbu52ezc.edgeone.app and was registered NaN years ago.

Submitted URL: https://huge-aquamarine-ysfiwpd9ik-m3vbu52ezc.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: 72%

4
Risk Score

No malicious content observed, but subdomain age is unknown, resulting in moderate risk.

Risk Factors
Subdomain on hosting platform with unknown creation date
Safety Factors
No forms or credential collection
No malicious Indicators of Compromise
No JavaScript malware detected
No network IDS alerts
Domain age information unavailable

Details

Page Title

Files Collection

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(71%)

Domain Information

Within the application-focused generic top-level domain (.app), 'huge-aquamarine-ysfiwpd9ik-m3vbu52ezc.edgeone.app' is registered and includes subdomain 'huge-aquamarine-ysfiwpd9ik-m3vbu52ezc'. Count 7 characters in 'edgeone' holding 4 vowels versus 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://huge-aquamarine-ysfiwpd9ik-m3vbu52ezc.edgeone.app/

Page Load Overview

8.18s
Total Load Time
1
HTTP Requests
1
Domains
N/A
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:843 chars
Detector Agreement:67%

Website Classification

Primary Category

technology software71% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
71%
documentation technical
46%
adult content
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
11--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18902C5CAEBE305C9A82BC0682FFF5724222DE057C449CD5DB99E1F548F4518875EB2B8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:KrXrdEzawwpcoz5seK/ASMHmGgdkUfE0gBBiqh1RaXQl:KrzhNK/lMHmGgdkq/qd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8743:KC0S1nBKRQMQNhUcA82AhABiSAGEDQQAMFApCCALiDKRCIEYiMR0wwKAiYcGINaSgTi8VQCmSFBapAhBkAIGCG4COCaWAYED

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:dcfcfce0e0e0c0c0
Perceptual Hash:da9a983c6c6563c3
Difference Hash:3030500000000000
Wavelet Hash:dcfcfcf0f0e0c0c0
Color Hash:#d22d74

Other Hashes

Crop Resistant:3030500000000000

Scan History

Scan history not available

Unable to load historical scan data