ScanMalware.com

Security Scan Report: applerun-n9c00lsi7y.edgeone.app

Submitted: Apr 23, 2026, 9:54:15 AMCompleted: Apr 23, 2026, 9:55:36 AMpubliccompleted
Loading additional data...

Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 5 HTTP transactions. The main domain is applerun-n9c00lsi7y.edgeone.app and was registered NaN years ago.

Submitted URL: https://applerun-n9c00lsi7y.edgeone.app/

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

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

The site mimics Google branding on a low‑ranked edgeone.app subdomain with unknown age; no malicious code or forms are present, resulting in moderate risk.

Risk Factors
Brand impersonation on low‑reputation domain
Unknown subdomain age (potentially newly created)
Low Cisco Umbrella ranking for a claimed major brand
Safety Factors
No forms or credential collection
No malicious IoC matches
No JavaScript malware patterns detected
No network IDS alerts
Domain age information unavailable

Details

Page Title

My Google AI Studio App

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(97%)

Domain Information

The domain 'applerun-n9c00lsi7y.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'applerun-n9c00lsi7y'. The registrable portion 'edgeone' spans 7 characters containing 4 vowels alongside three consonants. Segmentation suggests two words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://applerun-n9c00lsi7y.edgeone.app/

Page Load Overview

0.76s
Total Load Time
4
HTTP Requests
1
Domains
368 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
Text Length:187 chars
Detector Agreement:50%

Website Classification

Primary Category

technology software97% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
97%
documentation technical
84%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2188.114.97.3Singapore
AS139341
243.152.26.58Singapore
AS139341ACE
42--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T140E02B4698E1451A623052C02DD0FC585C85E746D3499E5075E761FC5FD9396CCCF938

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:h4hqIY7YvfAbpli7vkMTfMAqIbR2+MvfWHwlXgcAV4LKTj+Gwl1sF0NAEdpQCb2a:hRjy7VTBqsKWGzAVqsqAEdP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:4869612d0fe6c812356609f0f90802b1

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:ffff81cbe7e7ffc3
Perceptual Hash:e3c9cc86c6c97139
Difference Hash:839513334d4d168e
Wavelet Hash:ffc38181c3c3c3c3
Color Hash:#5353ac

Other Hashes

Crop Resistant:839513334d4d168e,4551ccdcdc274545

Scan History

Scan history not available

Unable to load historical scan data