Security Scan Report: kanvasmotionworks-dpdlrkac2dle.edgeone.app

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Submitted: Jun 15, 2026, 4:00:40 AMCompleted: Jun 15, 2026, 4:01:48 AMpubliccompleted
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Summary

This website contacted 6 IPs in 3 countries across 6 domains to perform 1 HTTP transaction. The main domain is kanvasmotionworks-dpdlrkac2dle.edgeone.app and was registered NaN years ago.

Submitted URL: https://kanvasmotionworks-dpdlrkac2dle.edgeone.app/air-emirates-financial-report.html

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

AI Security Verdict

Moderate Risk

Confidence: 75%

5
Risk Score

The page is a news‑style article about Air Emirates with no malicious forms or malware, but unknown subdomain age and low reputation give it a moderate risk rating.

Risk Factors
Unknown subdomain age on a hosting platform
Low domain ranking
Brand mention on unrelated domain (potential impersonation context)
External links to low‑reputation domains (e.g., cockygoodness.com)
Medium‑severity IDS alert for suspicious User‑Agent
Safety Factors
No forms or credential collection
No Indicators of Compromise or malware detections
og:type set to "article" indicating news/reporting content
No cross‑origin credential exfiltration observed
Domain age information unavailable

Details

Page Title

Air Emirates Financial Report: Common Pitfalls and Smarter Analysis Strategies

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(35%)

Domain Information

Domain 'kanvasmotionworks-dpdlrkac2dle.edgeone.app' uses 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. Splitting it apart reveals 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://kanvasmotionworks-dpdlrkac2dle.edgeone.app/air-emirates-financial-report.html

Page Load Overview

1.21s
Total Load Time
14
HTTP Requests
11
Domains
30 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:4,555 chars
Detector Agreement:80%

Website Classification

Primary Category

government public service35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
35%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4172.240.253.132Ashburn, Virginia, United States
AS7979Servers.com, Inc.
2142.251.14.95United States
AS15169Google LLC
243.152.26.58Singapore
2172.240.108.68United States
AS7979Servers.com, Inc.
2172.67.150.240United States
AS13335Cloudflare, Inc.
2146.75.122.152Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
146--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15D82F927AAC0161C6A6341DD66C2F3ECA938843BE7428DF574DCF328E7C9AC78475294

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:hPWuhnYf8zX+kXh8OqsqCHzuRSR+XgwcCjuoC6Uag49UOCt:ZWuhnz+kX9q7iuRSR+X+wC6Uag4mB

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18062:AZAZASACIpZKACgQl+GIDSigGwQECfSWTUAyQI5I8TMEIAFVEIAhCsDgIZBATQK6qZNFcaiKQEMqEwCEBGUoNwBcKr7TAQtA

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:9fffffc3c3c3c383
Perceptual Hash:b8c74f383c3c8a2e
Difference Hash:3200121616161627
Wavelet Hash:00fefec3c3c3c381
Color Hash:#b287c5

Other Hashes

Crop Resistant:3200121616161627

Scan History

Scan history not available

Unable to load historical scan data