Security Scan Report: cdn-applerun-trailervideoforapplesjorney-dppmuy1lf0ht.edgeone.dev

Submitted: Completed: publiccompleted
This website contacted 2 IPs in 1 country across 2 domains to perform 9 HTTP transactions. The main domain is edgeone.dev and was registered 1 year 5 months ago.

Submitted URL: https://cdn-applerun-trailervideoforapplesjorney-dppmuy1lf0ht.edgeone.dev/

AI Security Verdict

Moderate Risk

Confidence: 68%

5
Risk Score

Small free-runner game landing page on a disposable edgeone.dev tenant with no forms, no impersonation and no malware signals; only caution is that the 'Play now' link leads to another unverified throwaway host.

Risk Factors (2)
Single call-to-action funnels users to a separate disposable hosting namespace (applerun.edgeone.app) that the scanner did not load, so the game/payment step is unverified
Hosting-platform subdomain with unknown creation date and no domain reputation
Safety Factors (1)
Content is coherent, descriptive game marketing copy consistent with a small indie browser game
Domain age information unavailable

Details

Page Title

Apple’s Journey: cute apple endless runner

Scan Type

public

Domain Name Analysis

The domain name 'cdn-applerun-trailervideoforapplesjorney-dppmuy1lf0ht.edgeone.dev' uses the developer-focused generic top-level domain (.dev); it also runs on subdomain 'cdn-applerun-trailervideoforapplesjorney-dppmuy1lf0ht'. Count 7 characters in 'edgeone' holding 4 vowels versus three consonants. Word splitting yields 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

You fell out of the truck. Now run for you! Cute apple endless runner

Page Load Overview

4.55s
Total Load Time
6.2 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:1,045 chars
Detector Agreement:75%

Website Classification

Primary Category

entertainment media57% confidence
Type: static
Method: ml+structural

All Detected Categories

entertainment media
57%
documentation technical
33%
technology software
28%
government public service
27%
news media journalism
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
543.174.246.29Singapore
443.174.247.29Singapore
92--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AAB402B5EA430C672E3ED88DA21257493CF44D575706B1F9B4A8A9B421E3C507E3ACBC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:EhvmvfxZmHneLOpHe2Pl7l9vb4r22jJMW:Ehof+n8OpHeMt7Tx2+W

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:515718:0MOC7RSHHKFUKQgQb6KYIABgqqAmCIgigBiiIhECBhAQCY7sHgll5EQahMBAEghECh4QQSQRGCOGDVMpDhtCKFIYYd7EAUCA

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:ffc3e7e7e7e7e7e7
Perceptual Hash:b39c8c66c3e3c293
Difference Hash:0e330e4d4d4d4d4d
Wavelet Hash:8681c3c7c3c3c3e7
Color Hash:N/A

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data