Security Scan Report: kanvasmotionworks-dpdlrkac2dle.edgeone.app

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Submitted: Jun 19, 2026, 6:08:00 AMCompleted: Jun 19, 2026, 6:09:10 AMpubliccompleted
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Summary

This website contacted 13 IPs in 5 countries across 13 domains to perform 2 HTTP transactions. The main domain is kanvasmotionworks-dpdlrkac2dle.edgeone.app and was registered NaN years ago.

Submitted URL: https://kanvasmotionworks-dpdlrkac2dle.edgeone.app/b-riley-financial-investor-relations.html

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

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

Informational article with no malicious signals; classified as low risk.

Risk Factors
Unknown subdomain creation date (could be brand‑new)
Low domain ranking (455,732) in Cisco Umbrella
Safety Factors
No credential or payment collection forms
No malicious JavaScript YARA matches
No network IDS alerts
Article metadata suggests reporting, not impersonation
Domain age information unavailable

Details

Page Title

Discover Oslo’s Must‑See Museums – A Practical Walkthrough (b riley financial investor relations insight)

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(72%)

Domain Information

You're looking at domain 'kanvasmotionworks-dpdlrkac2dle.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'kanvasmotionworks-dpdlrkac2dle'. The core label 'edgeone' covers 7 characters holding 4 vowels versus 3 consonants. Tokenizing the label suggests 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://kanvasmotionworks-dpdlrkac2dle.edgeone.app/b-riley-financial-investor-relations.html

Page Load Overview

2.04s
Total Load Time
25
HTTP Requests
19
Domains
3.3 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-US
Text Length:5,776 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning72% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
72%
government public service
69%
corporate
35%
travel tourism
31%
adult content
28%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13155.133.132.12Paris, Île-de-France, France
AS203476GANDI SAS
143.152.26.58Singapore
1188.114.97.3United States
AS13335Cloudflare, Inc.
146.235.42.44Netherlands
AS213192NetBase BV
1142.250.154.95United States
AS15169Google LLC
1162.159.141.224United States
AS13335Cloudflare, Inc.
1172.67.150.240United States
AS13335Cloudflare, Inc.
1172.240.127.234United States
AS7979Servers.com, Inc.
1195.149.84.39Singapore
AS43081World News PTE. LTD
1185.151.30.167United Kingdom
AS4825420i Limited
2513--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T159A22C5BABD1622C0F73017111C6B5FCB62C842AF7228DF479AE7358ABC46DB5573284

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:hPWQhnYf8zX+bUMuD3h8IlY0ygivuVDaPKkoNjag4n+VPzhCC0:ZWQhnz+bUMuD3flY01IuVD+KBNjag4++

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22567:pKAalFAgnKUJoGQLCZSAGHE4IoEhAFPFoZCKovDWxDNALQAEUNAMIEASIBGAw1ABSAIFLIBQQkhBcWi1SKRLF0TJhpBMCSGC

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:ffffff81818183ff
Perceptual Hash:b9c692396c33c786
Difference Hash:3200133333331b27
Wavelet Hash:9fffff8181818181
Color Hash:#ade06c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data