Security Scan Report: verbal-copper-p7etwad2-dp06s6cgh2ko.edgeone.app

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Submitted: Jun 10, 2026, 7:16:59 PMCompleted: Jun 10, 2026, 7:18:16 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 2 HTTP transactions. The main domain is verbal-copper-p7etwad2-dp06s6cgh2ko.edgeone.app and was registered NaN years ago.

Submitted URL: https://verbal-copper-p7etwad2-dp06s6cgh2ko.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 shows no phishing, malware, or credential‑stealing activity and is classified as low risk.

Risk Factors
Unknown subdomain age (could be newly created)
Low reputation ranking
Hosted on a generic subdomain of a hosting platform
Safety Factors
No login, payment, or credential forms
No malicious scripts or external malicious links
No network IDS alerts or YARA malware matches
Domain age information unavailable

Details

Page Title

Will You Be Mine?

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(58%)

Domain Information

The domain 'verbal-copper-p7etwad2-dp06s6cgh2ko.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'verbal-copper-p7etwad2-dp06s6cgh2ko'. The core label 'edgeone' covers 7 characters split between 4 vowels and three consonants. Tokenizing the label suggests 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://verbal-copper-p7etwad2-dp06s6cgh2ko.edgeone.app/

Page Load Overview

0.78s
Total Load Time
7
HTTP Requests
4
Domains
1.9 MB
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:246 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content58% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
58%
healthcare medical
34%
news media journalism
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3101.33.10.10Frankfurt am Main, Hesse, Germany
2192.178.170.95United States
AS15169Google LLC
2146.75.121.32Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
73--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DCD1B6AA82033122912FF2D334950BB6B4705A20FF575B14E6FEA365E6C1CD076376B9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:Zz2kVhHVg96WjlZPFShYXgXxhurByDjFT4DmULEi:N1g96wlZPFShYXgXxhurByDjFT4DmULd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6404:HAiIQXEEBhKyIAYFBhAA1BAgCAEoMoQABA2MIAWQlAZSdX6KElgglCEo2oVIgwwaIEAAAECAIDoQEoPiCAAkohEECgSggMlg

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:1f1f07272767ffff
Perceptual Hash:a26699996666d999
Difference Hash:dbffcd4dcccdffdb
Wavelet Hash:0707070707273f7f
Color Hash:#91d279

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data