Security Scan Report: globe-commission-model-1fs0kxv3jz.edgeone.app

Submitted: Nov 28, 2025, 2:01:00 AMCompleted: Nov 28, 2025, 2:05:11 AMpubliccompleted
Loading additional data...

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is globe-commission-model-1fs0kxv3jz.edgeone.app.

Submitted URL: https://globe-commission-model-1fs0kxv3jz.edgeone.app/

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

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Globe Packers - Commission-Based Sales Model Dashboard

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

real estate property

(88%)

Domain Information

Within the application-focused generic top-level domain (.app), 'globe-commission-model-1fs0kxv3jz.edgeone.app' is registered; it also runs on subdomain 'globe-commission-model-1fs0kxv3jz'. Count 7 characters in 'edgeone' containing four vowels alongside three consonants. Segmentation suggests 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://globe-commission-model-1fs0kxv3jz.edgeone.app/

Page Load Overview

0.34s
Total Load Time
2
HTTP Requests
1
Domains
11 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:5,569 chars
Detector Agreement:100%

Website Classification

Primary Category

real estate property88% confidence
Type: static
Method: ml+structural

All Detected Categories

real estate property
88%
corporate business
72%
government public service
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.186.21Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17333322255F320732853D1A16FAB6F5B7FA0D503C50B8A183AAE57A88FC6DE1CD1364D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:4FzXFBRFDFQA+TlA+qLZuxRIukHHIgqmpods7Deo:yXXR92A+TlpqLZuDI/HHLm27Deo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:52459:q0ogAiAIlNSAFELD6XS2AQOCIlQogoDxYwiAwAYUiFYM3XKsIhAQKkYRkB88IAEErogtQREm+gKVUgzI0CCBATiEhpLpLCMG

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:0000000001ffffff
Perceptual Hash:aa2ad5b56a1bc62a
Difference Hash:c597e9ed850058a2
Wavelet Hash:00000000ffffffff
Color Hash:#e07f6c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data