Security Scan Report: insufficient-azure-bcwjbrypn4-aazkbc2n8b.edgeone.app

Submitted: Mar 15, 2026, 3:38:04 AMCompleted: Mar 15, 2026, 3:39:19 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is insufficient-azure-bcwjbrypn4-aazkbc2n8b.edgeone.app and was registered NaN years ago.

Submitted URL: https://insufficient-azure-bcwjbrypn4-aazkbc2n8b.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: 80%

4
Risk Score

Static football catalog; no malicious activity detected, but new subdomain on free hosting suggests caution.

Risk Factors
Subdomain on hosting platform with unknown age
Low ranking domain
New subdomain (age unknown)
Safety Factors
No forms or payment fields present
No malicious Indicators of Compromise
No JavaScript malware detected
No network IDS alerts
Static catalog content only
Domain age information unavailable

Details

Page Title

Pastel Foot Store | Catalogue Officiel 2026

Scan Type

public

Language

🇫🇷

French

(80% confidence)

Category

e-commerce shopping

(65%)

Domain Information

You're looking at domain 'insufficient-azure-bcwjbrypn4-aazkbc2n8b.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'insufficient-azure-bcwjbrypn4-aazkbc2n8b'. Count 7 characters in 'edgeone' with 4 vowels and three consonants. Segmentation suggests two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://insufficient-azure-bcwjbrypn4-aazkbc2n8b.edgeone.app/

Page Load Overview

0.46s
Total Load Time
2
HTTP Requests
1
Domains
3 KB
Total Size

Language Analysis

Primary Language

🇫🇷French
Code: fr
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:fr
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:fr
Text Length:1,447 chars
Detector Agreement:33%

Website Classification

Primary Category

e-commerce shopping65% confidence
Type: static
Method: ml+structural

All Detected Categories

e-commerce shopping
65%
adult content
59%
government public service
47%
finance banking
25%

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

T11922822652F300266457E1A03BF2AB5F2A60E217C90FC9A537DD53E4CFC2A95D9A374C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:PpfqWfyWtJ1D1fpyvlDqrJHTarNsJFpeiCniih5CKx9VJuaEIiTKrZCXmgTB+/IO:hnfyWtTD1fpEl0JWUuFh5Zgw/I6KG6Mj

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:10885:ARMQXwJdCzCAEaSxhBIgE5WhBAQsAEAwQAQgSgRi8BDQKuQiYgkRCWZESPRWEKpCgQBAATOHAxoOIL4EsA4iYCMIIykkwjQG

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:00003c3c3c3c0000
Perceptual Hash:8ad532338ba2cdd9
Difference Hash:4d1571717171a969
Wavelet Hash:e7013dbd3d3d0125
Color Hash:#2d863e

Other Hashes

Crop Resistant:4d1571717171a969

Scan History

Scan history not available

Unable to load historical scan data