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Security Scan Report: applepay.lavishluck.net

Submitted: Jul 25, 2026, 12:45:16 AMCompleted: Jul 25, 2026, 12:47:16 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is applepay.lavishluck.net and was registered NaN years ago.

Submitted URL: https://applepay.lavishluck.net

The Cisco Umbrella rank of the primary domain is #399,991 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 500 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

500 Internal Server Error

Scan Type

public

Language

🇩🇪

German

(43% confidence)

Category

technology software

(84%)

Domain Information

The domain 'applepay.lavishluck.net' uses the network infrastructure generic top-level domain (.net) and includes subdomain 'applepay'. The registrable portion 'lavishluck' spans 10 characters with three vowels and 7 consonants. Tokenizing the label suggests two words: lavish, luck. Median word length comes out to five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://applepay.lavishluck.net

Page Load Overview

4.99s
Total Load Time
2
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:43%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:43%
Script Type:Latin
Text Length:73 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software84% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
84%
documentation technical
68%
healthcare medical
47%
news media journalism
43%
finance banking
42%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
23.20.124.173Aws · CLOUDColumbus, Ohio, United States
AS16509Amazon.com, Inc.
21--

Detected Technologies1

Ubuntu
40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13BF0F69B9F16307B2E278571F4831168DF640853EBD925C28749011F72CA042DAB6FA8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12:kxkUDW5bx0AqFUDWOlIgrRCHTF83TF83TF83TF83TF83TFf:kyUDW5mAmUDWYDYTuTuTuTuTuTF

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:574:AAAAAAAAAIAAABAAAAQAABAAQAAAQAAAAAAAAAAAAACIAAAAAAAAAAAAAAAAAAAAAAAAgAAAAgAAAAAAAAAAAQAgAAAIAAAA

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:00ffffffffffffff
Perceptual Hash:b333333333333323
Difference Hash:0c00000000000000
Wavelet Hash:00ffffff00000000
Color Hash:#537bac

Other Hashes

Crop Resistant:0c00000000000000

Scan History

Scan history not available

Unable to load historical scan data