Security Scan Report: okay-plum-lx8c3e0iis-0fpmmblttc.edgeone.app

Submitted: Apr 23, 2026, 9:53:14 PMCompleted: Apr 23, 2026, 9:54:37 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is okay-plum-lx8c3e0iis-0fpmmblttc.edgeone.app and was registered NaN years ago.

Submitted URL: https://okay-plum-lx8c3e0iis-0fpmmblttc.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: 84%

5
Risk Score

Moderate risk due to brand misuse on a low‑ranked, newly created subdomain; no active malicious activity detected.

Risk Factors
Brand name displayed on a low‑ranked, untrusted subdomain
Subdomain age unknown (potentially newly created)
Hosting on a generic platform (.edgeone.app) without reputation
Safety Factors
No login or payment forms
No malicious JavaScript or obfuscation
No external malicious links or network alerts
Domain age information unavailable

Details

Page Title

BMW M-Performance Simulator

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

unknown

(0%)

Domain Information

Domain 'okay-plum-lx8c3e0iis-0fpmmblttc.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'okay-plum-lx8c3e0iis-0fpmmblttc'. Its registrable label 'edgeone' stretches across 7 characters with 4 vowels and three consonants. Splitting it apart reveals two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://okay-plum-lx8c3e0iis-0fpmmblttc.edgeone.app/

Page Load Overview

0.55s
Total Load Time
2
HTTP Requests
1
Domains
1 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:48 chars
Detector Agreement:50%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F821862190721102391BB5813AE35307A3308107E655D53D3ADED766CFDE1B184BF659

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:hR8llC9o+8MvDia1WMS9YUYm+Jfgr2pH2c0jJRR/8Lj3Kj:TDTpvmaER9/YdJ4r+WBJX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1124:AAAAEAgAAAAAAAAQAAAAAAEBAQAIEAQAgAABAAAgEAAIAAIAAQBAABIBAQAAAAAwAAAAAAAAgAAAACAQAAAAAAAAIAACAAAC

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:0000001818000080
Perceptual Hash:dd007701dd03779d
Difference Hash:0010083232089000
Wavelet Hash:30303038fcfcf0f0
Color Hash:#c5ae87

Other Hashes

Crop Resistant:0010083232089000

Scan History

Scan history not available

Unable to load historical scan data