Security Scan Report: www.wbgu.de

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Submitted: Jan 1, 2026, 4:35:33 AMCompleted: Jan 1, 2026, 4:36:50 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 34 HTTP transactions. The main domain is wbgu.de.

Submitted URL: https://www.wbgu.de/de/

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

Site appears legitimate but has limited reputation; proceed cautiously.

Risk Factors
Unranked domain may indicate limited reputation
Unknown domain age could suggest recent registration
Safety Factors
No credential or payment collection forms
No malicious Indicators of Compromise detected
Standard website content without brand impersonation
Domain age information unavailable

Details

Page Title

Startseite

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

education learning

(98%)

Domain Information

You're looking at domain 'www.wbgu.de' on the German country-code top-level domain (.de) with subdomain 'www'. Its registrable label 'wbgu' stretches across 4 characters holding 1 vowel versus 3 consonants. Tokenizing the label suggests two words: wb, gu. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.wbgu.de/de/

Page Load Overview

0.67s
Total Load Time
45
HTTP Requests
2
Domains
1.7 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:7,817 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning98% confidence
Type: webapp
Method: ml+structural

All Detected Categories

education learning
98%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
34195.201.0.232Nuremberg, Bavaria, Germany
AS24940Hetzner Online GmbH
2134.1.2.51Oldenburg, Lower Saxony, Germany
AS680Verein zur Foerderung eines Deutschen Forschungsnetzes e.V.
452--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15763B863C645313B420B5BE5F264276CA2EFE22FC7961401B3EC97915BC7D94BB8218E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:lhvhfDnL8EjywOVlijVl9Py7hR05gfhyRfmHW6xEzj1DYTYNn:lhvhfDnL8EjywOKjpyVRgg5yx/lzjfn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:67519:gDZCbV1MrK0LQFAOAQkAuoiARrJARACQErBBwrYqiQSIagNIE5CBBAAAhVBemREaR/QACAAgCAEttJ62CFRbG4iEmAISCEQR

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:f0c7878787cfffff
Perceptual Hash:be66c1c74c487276
Difference Hash:670e2f3f2f3f332b
Wavelet Hash:a08787838783dfcb
Color Hash:#b76ce0

Scan History

Scan history not available

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