Security Scan Report: kanvaskreatifbytes-dphjg3bwhdng.edgeone.app

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Submitted: Jun 17, 2026, 1:28:56 AMCompleted: Jun 17, 2026, 1:30:08 AMpubliccompleted
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Summary

This website contacted 8 IPs in 3 countries across 8 domains to perform 3 HTTP transactions. The main domain is kanvaskreatifbytes-dphjg3bwhdng.edgeone.app and was registered NaN years ago.

Submitted URL: https://kanvaskreatifbytes-dphjg3bwhdng.edgeone.app/95-new-cavendish-street-postcode.html

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

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Low‑risk informational page with no malicious indicators detected.

Risk Factors
Subdomain on a hosting platform (.edgeone.app) with unknown creation date
Safety Factors
Absence of credential or payment collection forms
No brand mismatch or impersonation
No malicious IoC or YARA detections
No IDS alerts indicating phishing or malware
Domain age information unavailable

Details

Page Title

Exploring the Area: 95 New Cavendish Street Postcode

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(54%)

Domain Information

Within the application-focused generic top-level domain (.app), 'kanvaskreatifbytes-dphjg3bwhdng.edgeone.app' is registered and includes subdomain 'kanvaskreatifbytes-dphjg3bwhdng'. Its registrable label 'edgeone' stretches across 7 characters with 4 vowels and 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://kanvaskreatifbytes-dphjg3bwhdng.edgeone.app/95-new-cavendish-street-postcode.html

Page Load Overview

1.86s
Total Load Time
19
HTTP Requests
13
Domains
796 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-US
Text Length:3,195 chars
Detector Agreement:60%

Website Classification

Primary Category

government public service54% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
54%
documentation technical
48%
blog personal website
44%
adult content
37%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5142.251.20.95United States
AS15169Google LLC
2101.33.10.10Frankfurt am Main, Hesse, Germany
2104.21.7.69United States
AS13335Cloudflare, Inc.
2172.240.108.84United States
AS7979Servers.com, Inc.
2192.0.66.171San Francisco, California, United States
AS2635Automattic, Inc
2190.89.239.194Brazil
AS29802HIVELOCITY, Inc.
2192.0.66.182San Francisco, California, United States
AS2635Automattic, Inc
2104.21.0.120United States
AS13335Cloudflare, Inc.
198--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11682F9279A84523466220081D6C1B6FCE53C800BD7558CE9B9EDB7389BCA7CF15F6398

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:hPWahnYf8zX+1xy8fjNV6FcySwc+oNjag4n+ofi:ZWahnz+1xLjNkmySwcLNjag4+P

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17897:Ai4RvyIAFwxFdKQAJpAMwhNDQJCRgXBAQWwKvN6M0NAggKCkAhCyCimQAxFBQtvpwACEshykEQUUInZViHoYg3gAAUiAOawG

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:ffffff81818181ff
Perceptual Hash:ac93936c966c93a3
Difference Hash:320033232733231f
Wavelet Hash:8effff8181818187
Color Hash:#6cc9e0

Scan History

Scan history not available

Unable to load historical scan data