Security Scan Report: zalando-se.shop

Submitted: Sep 24, 2025, 9:00:59 PMCompleted: Sep 24, 2025, 9:01:49 PMpubliccompleted
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Summary

This website contacted 49 IPs in 3 countries across 3 domains to perform 50 HTTP transactions. The main domain is zalando-se.shop and was registered NaN years ago.

Submitted URL: https://zalando-se.shop/

AI Security Verdict

High Risk

Confidence: 92%

10
Risk Score

The site impersonates Zalando on a new, suspicious domain; treat as high‑risk phishing and avoid interaction.

Risk Factors
Brand impersonation on a newly registered domain
Unusual TLD and lack of official Zalando branding
Domain age < 90 days (risk multiplier applied)
Absence of legitimate security signals (e.g., HTTPS with EV certificate, proper page title)
Potential for credential harvesting via future login forms
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

corporate

(70%)

Screenshot

Security scan screenshot of https://zalando-se.shop/

Page Load Overview

9.43s
Total Load Time
50
HTTP Requests
3
Domains
2 KB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:sv
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:sv
Text Length:3,689 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: spa
Method: structural

All Detected Categories

corporate
70%
social_media
50%
e-commerce
40%

Detected Features

Login Form
Search
Products
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
213.35.58.116United States
AS16509AMAZON-02
118.245.31.45United States
AS16509AMAZON-02
118.172.112.52United States
AS16509AMAZON-02
118.245.31.71United States
AS16509AMAZON-02
1157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
1104.17.232.29United States
AS13335CLOUDFLARENET
118.172.112.71United States
AS16509AMAZON-02
1104.16.80.73United States
AS13335CLOUDFLARENET
123.3.68.25London, England, United Kingdom
AS20940Akamai International B.V.
1157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
18349--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T117A45C51F5F474B88233827578273B0826BA91C7D647D9E1F2EC49B82FC5E868813DAD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:ll26mipCOkyjs9A8kl81zSSj9PrjQQteDPUV9/rTdW1cRc2diaZH69Zh2y1DT:+Okyjs9WLs1rTdW1cRc2diaZH69Zh2yh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:490225:EBIBKGIcxQlqAHkSe8QpUFIhGyooFEogp4DyCKUkaAoEIQI9IED8EMBR6KCIRobSCxKQCoIABaAkAlDEIJ8TdAHqIniBS6IB

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:ffff898480000000
Perceptual Hash:bec1c5a5d6d2c388
Difference Hash:0c5b193d2d3c3c31
Wavelet Hash:fffffdcd80808080
Color Hash:#aca953

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data