Security Scan Report: www.kwf-online.de

Redirected to:
https://kwf2020.kwf-online.de/
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Submitted: Jun 17, 2026, 6:43:56 PMCompleted: Jun 17, 2026, 6:45:10 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 2 domains to perform 2 HTTP transactions. The main domain is kwf2020.kwf-online.de.

Submitted URL: http://www.kwf-online.de

Effective URL: https://kwf2020.kwf-online.de/Redirected

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Low‑risk informational site with no malicious indicators; likely legitimate.

Safety Factors
Self‑branding matches the domain (no brand impersonation)
Absence of credential‑harvesting forms
No malicious IoC, YARA, or IDS detections
Content classified as technical documentation (legitimate category)
Domain age information unavailable

Details

Page Title

KWF 2030 – .Das Kompetenzzentrum für Forst.

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

documentation technical

(88%)

Domain Information

The domain name 'www.kwf-online.de' uses the German country-code top-level domain (.de) with subdomain 'www'. Its registrable label 'kwf-online' stretches across 10 characters holding 3 vowels versus 6 consonants; it also includes one hyphen. Tokenizing the label suggests 3 words: kw, f, online. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.kwf-online.de

Page Load Overview

5.99s
Total Load Time
107
HTTP Requests
2
Domains
6.6 MB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:de
Text Length:50,931 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical88% confidence
Type: spa
Method: ml+structural

All Detected Categories

documentation technical
88%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10781.169.145.64Germany
AS6724Strato GmbH
1071--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1084418E2A9EB643D2143A351F821FC1DB3209278CB445639F5BDC138E786EF5219B64E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:6r6p47uPT9DMlXWr+SdjZpGgOkMc1wyWBXuUcff6ypx4/ZRNphLb1LY4bb9UyBFt:6rrSdjZZ+9OOdOmz

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:275260:QsEiEN60KWXpECtDqRSWFAIDFowV0YCBPIggEcDSA6IjkhDCyJtyEEwcIAAGwEAIBwglKAgRAKSiQSAGYxtK0CdYphIDPKuE

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:3c000000e7ffe7ff
Perceptual Hash:a607dbf39a1888a7
Difference Hash:e0ccc6850d970f31
Wavelet Hash:3c000000e7ffe7ff
Color Hash:#ae2dd2

Scan History

Scan history not available

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