Security Scan Report: automatic-aquamarine-yjnc4dzyay-bhi96ciu5g.edgeone.app

Submitted: Mar 15, 2026, 6:55:48 AMCompleted: Mar 15, 2026, 6:57:00 AMpubliccompleted
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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 automatic-aquamarine-yjnc4dzyay-bhi96ciu5g.edgeone.app and was registered NaN years ago.

Submitted URL: https://automatic-aquamarine-yjnc4dzyay-bhi96ciu5g.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: 78%

4
Risk Score

Site shows no malicious activity but the subdomain is newly created on a hosting platform, giving it moderate risk.

Risk Factors
Subdomain on hosting platform with unknown age (moderate suspicion)
Safety Factors
No malicious Indicators of Compromise
No password, email, or payment fields in forms
No JavaScript malware patterns detected
Low JS obfuscation score (standard minification only)
No cross‑origin credential exfiltration
Domain age information unavailable

Details

Page Title

PrimesMC Store

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(56%)

Domain Information

The domain name 'automatic-aquamarine-yjnc4dzyay-bhi96ciu5g.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'automatic-aquamarine-yjnc4dzyay-bhi96ciu5g'. The second-level label 'edgeone' is 7 characters long split between 4 vowels and 3 consonants. Word splitting yields 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://automatic-aquamarine-yjnc4dzyay-bhi96ciu5g.edgeone.app/

Page Load Overview

1.62s
Total Load Time
8
HTTP Requests
1
Domains
29 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:254 chars
Detector Agreement:50%

Website Classification

Primary Category

e-commerce shopping56% confidence
Type: static
Method: ml+structural

All Detected Categories

e-commerce shopping
56%
finance banking
44%
gambling betting
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
843.152.26.58Singapore
81--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A5D1A5A32025293760BF81F634E5E78E7445C1039F1FE18494F815EAE2E8C97E53AB4D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:76jgUCFyzKQPkFUZ2qJGIM2pAMxpteGFi/CCxodOQcRSQTRrTyK:ryPxFpteGFiSdOQCTRrTyK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6693:hgwILHgDAUFwhENmAJIIHHBg0gUAgUERpbpCEAEBBA7IQuEeAZBoCcERIBAAAlQAQjQFEUBmkAwZEFvm5gCKYAEGQAAgERHg

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:0111193d3d3d2121
Perceptual Hash:8a3c6d92e327986d
Difference Hash:3131314951554149
Wavelet Hash:1119193d7d7d3171
Color Hash:#ac6c53

Other Hashes

Crop Resistant:3131314951554149

Scan History

Scan history not available

Unable to load historical scan data