Security Scan Report: kanvasmotionworks-dpdlrkac2dle.edgeone.app

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Submitted: Jun 26, 2026, 9:03:15 PMCompleted: Jun 26, 2026, 9:04:25 PMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 10 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/airlines-group-aktien-dividende.html

AI Security Verdict

Low Risk

Confidence: 88%

2
Risk Score

The site is an informational article with no malicious indicators; low risk.

Risk Factors
Domain age unknown (subdomain on edgeone.app)
Hosted on a generic PaaS subdomain
Safety Factors
Absence of forms, credential collection, or payment fields
No malicious IoC, YARA, or IDS detections
Content appears informational and not a phishing or scam page
Domain age information unavailable

Details

Page Title

Understanding Airlines Group Aktien Dividende: Key Considerations for Investors

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(51%)

Domain Information

The domain 'kanvasmotionworks-dpdlrkac2dle.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'kanvasmotionworks-dpdlrkac2dle'. Count 7 characters in 'edgeone' with four vowels and 3 consonants. It segments into two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://kanvasmotionworks-dpdlrkac2dle.edgeone.app/airlines-group-aktien-dividende.html

Page Load Overview

2.46s
Total Load Time
26
HTTP Requests
16
Domains
989 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:4,430 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service51% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
51%
corporate business
49%
download file sharing
36%
corporate
35%
adult content
25%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10188.114.96.3United States
AS13335Cloudflare, Inc.
299.84.152.7United States
AS16509Amazon.com, Inc.
218.66.112.96United States
AS16509Amazon.com, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
254.192.35.123United States
AS16509Amazon.com, Inc.
2172.66.166.184United States
AS13335Cloudflare, Inc.
2172.240.127.244United States
AS7979Servers.com, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
274.125.29.95United States
AS15169Google LLC
269--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T186A22C379BD02628AE530284A5D1B2FCBA7C4817D78288B4746D7378DF887CB5476798

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:hPWFhnYf8zX+YPQW/Vh8+UvJCNZU/PHrpMv7JjIDWXpoNjag4n+OCX:ZWFhnz+SBXUxyUXHrpMv7JjPqNjag4+L

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:22429:SEJzChAkRMUJNqEhIcqBZCCgKsOphhQAhaFiOrytB5JAM5oEQxABAhOZEjrUACBMUBKVMOyYCakkzJGgCICCFSTEQ1OwA2kE

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:ffffff81818381ff
Perceptual Hash:bcc1d2338c6c939e
Difference Hash:32003233330f2f37
Wavelet Hash:9effff8181818183
Color Hash:#c2d279

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data