Security Scan Report: janlennardstruff.com

Site favicon
Submitted: Completed: publiccompleted
This website contacted 6 IPs in 2 countries across 5 domains to perform 142 HTTP transactions. The main domain is janlennardstruff.com and was registered 16 years ago.

Submitted URL: https://janlennardstruff.com/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate personal site with no security concerns.

Safety Factors (3)
Well‑established domain
No malicious Indicators of Compromise
No credential‑harvesting or payment forms
Domain age information unavailable

Details

Page Title

Home - Jan-Lennard Struff || Official Homepage

Scan Type

public

Domain Name Analysis

Domain 'janlennardstruff.com' uses the commercial generic top-level domain (.com) and has no subdomain. The second-level label 'janlennardstruff' is 16 characters long holding 4 vowels versus 12 consonants. Tokenizing the label suggests five words: jan, lenna, rd, st, ruff. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

‘Managed by ropseed.com Results Contact Events Gallery About News

Page Load Overview

6.32s
Total Load Time
4.6 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:15,844 chars
Detector Agreement:80%

Website Classification

Primary Category

technology software57% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
57%
news media journalism
31%
forum
25%
corporate
25%
news/blog
20%

Detected Features

Articles
Comments
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
27192.0.77.48San Francisco, California, United States
AS2635AUTOMATTIC
23142.250.184.200Germany
AS9063VSE NET GmbH
23212.88.144.88Germany
AS9063VSE NET GmbH
23142.250.186.170GermanyUnknown
23216.239.34.36GermanyUnknown
23142.250.186.99GermanyUnknown
1426--

Detected Technologies4

WordPressv6.5.7
100%
50%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CAB42A23A206583D561B79E872A93F3DB327D261DF5284E4F5ECC2268FC6DB125E1348

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

12288:GeYAxsEfZRCjvf1Z7vd6x29T0m6WmtI03siwM:od/y

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500261:rAi60BNBgASUhxqFoAgCMhKmHpCANlZtgylYIAMCDZpBwAQSGAkAwgC1ZSVACECJyjiABEswAjwQPAI3CgCLAUUkCkNRAKAl

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:00181038383b3f3f
Perceptual Hash:8c78330f46277573
Difference Hash:71f1b5e16163ebe9
Wavelet Hash:001818383d3f7f7f
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data