Security Scan Report: www.wbgu.de

Redirected to:
https://www.wbgu.de/de/
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Submitted: May 22, 2026, 12:28:44 AMCompleted: May 22, 2026, 12:30:12 AMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 2 domains to perform 33 HTTP transactions. The main domain is wbgu.de.

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

Effective URL: https://www.wbgu.de/de/Redirected

AI Security Verdict

Moderate Risk

Confidence: 70%

5
Risk Score

Site shows moderate risk due to unknown age, unranked domain, and heavily obfuscated JavaScript, but lacks phishing or malware indicators.

Risk Factors
Unranked domain with unknown age
Excessive redirects (5)
Highly obfuscated JavaScript
Safety Factors
No Indicators of Compromise matched
No JavaScript malware YARA patterns detected
No credential exfiltration observed
No forms collecting passwords or payment data
Domain age information unavailable

Details

Page Title

Startseite

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

unknown

(0%)

Domain Information

You're looking at domain 'www.wbgu.de' on the German country-code top-level domain (.de), featuring subdomain 'www'. The registrable portion 'wbgu' spans 4 characters containing one vowel alongside three consonants. Breaking it apart gives two words: wb, gu. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

18.18s
Total Load Time
50
HTTP Requests
2
Domains
1.6 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:7,899 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: webapp
Method: structural

All Detected Categories

No categories detected

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
25195.201.0.232Nuremberg, Bavaria, Germany
AS24940Hetzner Online GmbH
25134.1.2.51Helgoland, Schleswig-Holstein, Germany
AS680Verein zur Foerderung eines Deutschen Forschungsnetzes e.V.
502--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B163B863C245313B421B5BE5B264277CA2EFE22FC7961401B3EC97915BC7D94BB8218E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:khvh1DnL8EjywO2HVa2JOnBF2VThTaRJ/lzjI6:khvhzj6BEVN2j/hI6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:67777:MhoC5S0nDOQ40iABEEgl6LoSwIkAhEICKREYwIEKiAAoBdZBTiSBBAAMlNAkigYJBFZK2SAIUESsAoofThhAdTSJAACSDpR1

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:f0e787878787ffff
Perceptual Hash:be66c54c784c6e38
Difference Hash:670e0f1f1f3f3a3e
Wavelet Hash:a087838383878fff
Color Hash:#d22d77

Scan History

Scan history not available

Unable to load historical scan data