Security Scan Report: kaufmanndieter.com

Redirected to:
https://kaufmanndieter.com/kaufmanndieter
Submitted: Jul 15, 2026, 8:48:45 AMCompleted: Jul 15, 2026, 8:50:42 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 kaufmanndieter.com and was registered NaN years ago.

Submitted URL: https://kaufmanndieter.com

Effective URL: https://kaufmanndieter.com/kaufmanndieterRedirected

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 404 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

404 Not Found

Scan Type

public

Language

🇺🇸

English

(59% confidence)

Category

news media journalism

(66%)

Domain Information

You're looking at domain 'kaufmanndieter.com' on the commercial generic top-level domain (.com) while skipping any subdomain. Count 14 characters in 'kaufmanndieter' holding 6 vowels versus eight consonants. Splitting it apart reveals 3 words: kaufman, n, dieter. Average segment length settles at 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://kaufmanndieter.com

Page Load Overview

0.33s
Total Load Time
5
HTTP Requests
1
Domains
0 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:59%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:59%
Script Type:Latin
Text Length:71 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism66% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
66%
healthcare medical
63%
adult content
59%
government public service
58%
documentation technical
56%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
585.13.155.169Germany
AS34788Neue Medien Muennich GmbH
51--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E0C02B8F9183130F442022B07DC122D26A8D2336B43282B07E82808E900C42DC4C36C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3:qVZxwvOOb0qRAEtZ6UzUbne0GndzRx3G/MRUezQF7hXWSoz:qzxwGObRmEr6VnetdzRx3G0Cezo+z

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:babfc823fb54646218a2bbfdec778f9f

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:3fffffffffffffff
Perceptual Hash:83030303070fffff
Difference Hash:c040000000000000
Wavelet Hash:30f0f0f0f0f0f0f0
Color Hash:#d2ad79

Other Hashes

Crop Resistant:c040000000000000

Scan History

Scan history not available

Unable to load historical scan data