Security Scan Report: yannick-hanfmann.com

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Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 3 domains to perform 132 HTTP transactions. The main domain is yannick-hanfmann.com and was registered 4 years 4 months ago.

Submitted URL: https://yannick-hanfmann.com/

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

The site appears legitimate, with no phishing, malware, or scam indicators.

Safety Factors (4)
Domain age >4 years
Brand name matches domain (self‑branding)
No credential or payment collection forms
No malicious JavaScript or external IoC links
Domain age information unavailable

Details

Page Title

Home - Yannick Hanfmann II Official Homepage

Scan Type

public

Domain Name Analysis

Domain 'yannick-hanfmann.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. The core label 'yannick-hanfmann' covers 16 characters with 4 vowels and eleven consonants; it also includes 1 hyphen. Tokenizing the label suggests 5 words: yan, nick, han, f, mann. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Privacy preferences “We use cookdes and similar technologies on our website and process yaur personal data (eg, IP address), for example, to personalize content and ads, to integrate media from third...

Page Load Overview

5.50s
Total Load Time
4.0 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:10,986 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software54% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
54%
entertainment media
41%
forum
25%
corporate
25%

Detected Features

Comments
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
132212.88.144.88Germany
AS9063VSE NET GmbH
1321--

Detected Technologies4

WordPressv6.5.8
100%
50%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19724E775628A693F0B0784E17325335EB393F51DFF668880B3E847AAABC7E537441129

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:RosV6/YXOL3CtJsAYKegJabRhpXZbaZ7eKNeNZaZ7e+w/NcZ5ZeGZeFZetZeeggL:RosiCtJsAYKegJaVpTvPOEqH0kbr2Bj+

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:224397:RYVFCAp1gCiWhWA7K1EyIQIFClFQhCIAU4B9gVC7AGcCFhhGJACkQUpFQTFWrJDAIRQAJAntgoPLI5gA6kRRvArBVkygIEIE

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:0024000002ffffff
Perceptual Hash:a626d9ec361b994c
Difference Hash:ccaccdeda422123c
Wavelet Hash:0066440003ffffff
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data