Security Scan Report: admin.fashionstreetonline.hu

Redirected to: https://admin.fashionstreetonline.hu/auth/login

Submitted: Nov 14, 2025, 6:38:12 PMCompleted: Nov 14, 2025, 6:39:18 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 11 HTTP transactions. The main domain is admin.fashionstreetonline.hu.

Submitted URL: http://admin.fashionstreetonline.hu/

Effective URL: https://admin.fashionstreetonline.hu/auth/loginRedirected

AI Security Verdict

Safe Website

Confidence: 85%

2
Risk Score

The site appears to be a legitimate admin login for Fashion Street.

Safety Factors
Admin subdomain aligns with the brand's primary domain
Absence of malicious Indicators of Compromise
No external redirects or links
Page title consistent with the brand
Domain age information unavailable

Details

Page Title

Fashion Street APP - Admin

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

e-commerce shopping

(46%)

Domain Information

Domain 'admin.fashionstreetonline.hu' uses the Hungarian country-code top-level domain (.hu), featuring subdomain 'admin'. The registrable portion 'fashionstreetonline' spans 19 characters containing eight vowels alongside eleven consonants. Word splitting yields three words: fashion, street, online. The median word length lands at 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://admin.fashionstreetonline.hu/

Page Load Overview

24.14s
Total Load Time
11
HTTP Requests
1
Domains
48 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:54 chars
Detector Agreement:50%

Website Classification

Primary Category

e-commerce shopping46% confidence
Type: static
Method: ml+structural

All Detected Categories

e-commerce shopping
46%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
620.8.132.166Amsterdam, North Holland, Netherlands
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
5108.142.5.142Amsterdam, North Holland, Netherlands
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
112--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14C628741740C127C6D3FFA64EEC4572CA125B402EEE24426A10E148FE5D3BF63AE9F95

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:H+OX5Q6eyEAUu/cxksc64Jysq7vjJG19YBv:jeccxksc64Jysq7vdG19Yl

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15604:ggmwCBKgYgrJeP4DBKQsTQRQgJIgBDCBIXJxEysTSaABBQgAAVMCEAgolCsMBAYRZBGySzakSQQTMBIkINkUht28QwxIUJJo

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:ffffe7e7e7e7ffff
Perceptual Hash:b38ccc3399cc6699
Difference Hash:00000c0c0c4d000c
Wavelet Hash:3f3f272724243c3c
Color Hash:#501f93

Other Hashes

Crop Resistant:00000c0c0c4d000c

Scan History

Scan history not available

Unable to load historical scan data