Security Scan Report: dunkshop.at

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Submitted: Sep 18, 2026, 6:12:50 PMCompleted: Sep 18, 2026, 6:13:50 PMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 75%

2
Risk Score

Legitimate self-branded online basketball-shoe store (Magento). No phishing, malware, or brand-impersonation indicators; only weak new/unranked-domain prior. Standard caution for an unfamiliar shop.

Risk Factors (1)
Domain is only ~170 days old and unranked in Cisco Umbrella — weak prior only, no malicious corroboration
Safety Factors (5)
No threat-intelligence, YARA, native-scanner, or network IDS matches
No credential exfiltration or cross-origin form submissions detected
Only credential-like field is a standard customer account login form for the site's own brand
All forms post to the same host with standard e-commerce tokens
Eval/Function calls are consistent with bundled e-commerce platform JavaScript, not a malicious sink
Domain age information unavailable

Details

Page Title

Basketballschuhe | Basketball Shop Wien | Basketball Schuhe

Scan Type

public

Domain Name Analysis

You're looking at domain 'dunkshop.at' on the Austrian country-code top-level domain (.at) with no subdomain. The second-level label 'dunkshop' is 8 characters long split between 2 vowels and 6 consonants. It segments into two words: dunk, shop. Median word length comes out to 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://dunkshop.at

Page Load Overview

0.22s
Total Load Time
71 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:49%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:de
Text Length:8,808 chars
Detector Agreement:75%
Language mismatch: Declared as de but detected as en

Website Classification

Primary Category

e-commerce40% confidence
Type: spa
Method: structural

All Detected Categories

e-commerce
40%

Detected Features

Login Form
Search
Products

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
578.46.153.151Nuremberg, Bavaria, Germany
AS24940Hetzner Online GmbH
51--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10E934B37379770826E08B34122CA2E698115144A2D9197CC7ADF06F8DF6F777BAAC25C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:mfuFuY5CBevLtWDZpiEwfCRAs0KXWCmWH3n9tacmhiBivEYKHySOEn1eS1GSEiq:QuYY5nJwiVfk8PU9tacwiYMt3n1eS1GR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:89682:RAkIAKBAYESIodWZFYAIRNQKCjJcIySUIJJxugAAyRFqMFmSIpYGAgACFMMG6rWAQAgphwAQQIgAEgOggMSNEGOiEmOBECmg

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:fefefee6e6fefefe
Perceptual Hash:d5dd887322cd8873
Difference Hash:000000080c000000
Wavelet Hash:f2f2f8e0061e0e0e
Color Hash:#2d5e86

Other Hashes

Crop Resistant:000000080c000000

Scan History

Scan history not available

Unable to load historical scan data