Security Scan Report: organisational-yellow-ebijgeoqll-auyg8egl9r.edgeone.app

Submitted: Mar 14, 2026, 6:57:52 AMCompleted: Mar 14, 2026, 6:59:03 AMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 11 HTTP transactions. The main domain is organisational-yellow-ebijgeoqll-auyg8egl9r.edgeone.app and was registered NaN years ago.

Submitted URL: https://organisational-yellow-ebijgeoqll-auyg8egl9r.edgeone.app/

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

AI Security Verdict

High Risk

Confidence: 80%

8
Risk Score

Site mimics Facebook on a fresh edgeone.app subdomain; high‑risk brand impersonation, avoid interaction.

Risk Factors
Brand impersonation on a non‑official domain
New/unknown subdomain on a free hosting platform
Low domain ranking (outside top 100 K)
Domain age information unavailable

Details

Page Title

BLD First Mile · Monitor

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

documentation technical

(54%)

Domain Information

Domain 'organisational-yellow-ebijgeoqll-auyg8egl9r.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'organisational-yellow-ebijgeoqll-auyg8egl9r'. The second-level label 'edgeone' is 7 characters long with four vowels and three consonants. Tokenizing the label suggests two words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://organisational-yellow-ebijgeoqll-auyg8egl9r.edgeone.app/

Page Load Overview

1.09s
Total Load Time
11
HTTP Requests
4
Domains
368 KB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:pt
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:pt-br
Text Length:8,684 chars
Detector Agreement:50%

Website Classification

Primary Category

documentation technical54% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
54%
government public service
52%
technology software
52%
adult content
45%
cryptocurrency blockchain
37%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5142.250.186.42United States
AS15169Google LLC
2104.16.174.226Singapore
2142.250.186.67United States
AS15169Google LLC
243.152.26.58Singapore
114--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13E0431D0E1F96073253254C9659A6FAB38E06996FA520780F67C87B9AFCBDF33113904

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:ilHDWhHMjo674TH7NXMey1876jEtIu8bVTf:ilHJNbVTf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:173128:AUjDYMEECaEBDAcSmRJEA0AggLuxFABBkDQCwhSAvEJglUChUAIA4kSYwogSEiAAY4UMEoYi5AK0hsGCAwIqAhhEICIzaCeA

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:80807d6d8a80fff2
Perceptual Hash:eb28545555aaaaab
Difference Hash:0228d1d92a1c22a6
Wavelet Hash:c080fdd5ca80ff72
Color Hash:#7ed279

Other Hashes

Crop Resistant:0228d1d92a1c22a6

Scan History

Scan history not available

Unable to load historical scan data