Security Scan Report: gayal.de

Redirected to: https://www.dynadot.com/forsale/gayal.de?drefid=2071

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Submitted: Nov 4, 2025, 8:24:01 AMCompleted: Nov 4, 2025, 8:25:59 AMpubliccompleted
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Summary

This website contacted 29 IPs in 3 countries across 9 domains to perform 92 HTTP transactions. The main domain is dynadot.com.

Submitted URL: http://gayal.de/

Effective URL: https://www.dynadot.com/forsale/gayal.de?drefid=2071Redirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate domain sale page with no security concerns.

Safety Factors
Hosted by reputable registrar dynadot.com
No credential or payment collection on the page
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

For Sale Domain: gayal.de

Scan Type

public

Language

🇺🇸

English

(40% confidence)

Category

e-commerce shopping

(59%)

Domain Information

Domain 'gayal.de' uses the German country-code top-level domain (.de) with no subdomain. The core label 'gayal' covers 5 characters containing two vowels alongside three consonants. Breaking it apart gives 2 words: gay, al. Average segment length settles at 2.5 characters. Most frequently, 'gary' shows up in Esperanto. It also appears in Catalan and Spanish contexts.

Screenshot

Security scan screenshot of http://gayal.de/

Page Load Overview

67.54s
Total Load Time
92
HTTP Requests
9
Domains
2.7 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:40%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:40%
Script Type:Latin
Text Length:1,234 chars
Detector Agreement:50%

Website Classification

Primary Category

e-commerce shopping59% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce shopping
59%
technology software
53%
cryptocurrency blockchain
48%
government public service
43%
corporate business
40%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8216.58.206.40United States
AS15169GOOGLE
354.215.31.113San Jose, California, United States
AS16509AMAZON-02
3184.24.77.144Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
3216.239.34.36United States
AS15169GOOGLE
352.222.236.107United States
AS16509AMAZON-02
352.222.236.60United States
AS16509AMAZON-02
3104.16.153.132United States
AS13335CLOUDFLARENET
352.222.236.94United States
AS16509AMAZON-02
3142.250.185.195United States
AS15169GOOGLE
364.233.184.156United States
AS15169GOOGLE
9229--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T141B28122E619681BA02785C9F470FB2D7192D20BE7038D60F7FD53A993CFD6469116CE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:kduYhzJKdbYb8VUBPWkGS9h2j6qDPujFgGXj2jUuGUMCjuuwab0cDXYyh7g2Mig+:GuYhir+NDCFQabNYyhfMt+Ui1Hd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:24633:AQGpIRABJgZBFVFAAhz4CBBIShZkQIlAsidmKQ8SB4gAA0AhwXwxFAIUeMKhhEkhZEECVoISwAACckoAAEyOhi0ggEk4cBCw

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:fd0000f1ffffffff
Perceptual Hash:b51911c6eeeaca91
Difference Hash:613e1c675c2c0400
Wavelet Hash:3c00000037f7ffff
Color Hash:#d2d179

Scan History

Scan history not available

Unable to load historical scan data