Security Scan Report: fashionba-0bi6x44k6a.edgeone.app

Submitted: Mar 14, 2026, 4:49:03 AMCompleted: Mar 14, 2026, 4:50:25 AMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 12 HTTP transactions. The main domain is fashionba-0bi6x44k6a.edgeone.app and was registered NaN years ago.

Submitted URL: https://fashionba-0bi6x44k6a.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 85%

3
Risk Score

No malicious activity detected; site is low risk but newly created.

Risk Factors
New subdomain with unknown creation date
Low ranking in Cisco Umbrella (outside top 100k)
Garbage OCR text suggests unclear site content
Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise matches
JavaScript is minimally obfuscated and contains no malware
External resources are from reputable domains (unsplash.com, fontawesome.com)
Domain age information unavailable

Details

Page Title

BA · CLOTHING BRAND · with images

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(88%)

Domain Information

Domain 'fashionba-0bi6x44k6a.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'fashionba-0bi6x44k6a'. Count 7 characters in 'edgeone' holding four vowels versus three consonants. Segmentation suggests 2 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://fashionba-0bi6x44k6a.edgeone.app/

Page Load Overview

0.43s
Total Load Time
3
HTTP Requests
2
Domains
9 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:1,110 chars
Detector Agreement:67%

Website Classification

Primary Category

e-commerce shopping88% confidence
Type: static
Method: ml+structural

All Detected Categories

e-commerce shopping
88%
finance banking
81%
adult content
62%
government public service
43%
social media network
43%

Detected Features

Products

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
143.152.26.58Singapore
1104.21.27.152United States
1146.75.122.208United StatesUnknown
33--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T160B2A4A2EBB31062A413D47867F74B8B3264E107D547CE283FEC63D44F86DA599A274C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:VPzMLQYZ253iMAsOWA5NzBT92FDStvJgI9Kt7qM8a3a9n99q62PpXinec9JNRrod:VP5NJiXXq+DZPJ6TjMJQUgVH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:24597:MEumBQhBRApQpGxATFgQBBBZwMxQmkEGRiAAtUKQAQAQC6UAYUIEAGkAKOBnmAISqlyBBxEASGHGSoQ4oQgcoWjRoFm0MIgg

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:00fffeffff7fffff
Perceptual Hash:85707f207e7a007f
Difference Hash:93c0d469c8e0e060
Wavelet Hash:00003e3c7c3f3f3f
Color Hash:#502d86

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data