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Security Scan Report: www.unibw.de

Redirected to:
https://www.unibw.de/
Site favicon
Submitted: Jun 20, 2026, 11:50:59 PMCompleted: Jun 20, 2026, 11:53:09 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is unibw.de.

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

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

The Cisco Umbrella rank of the primary domain is #501,310 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 502 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

502 Bad Gateway

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

government public service

(38%)

Domain Information

Domain 'www.unibw.de' uses the German country-code top-level domain (.de) and includes subdomain 'www'. The core label 'unibw' covers 5 characters with 2 vowels and three consonants. Word splitting yields 3 words: uni, b, w. Average segment length settles at 1 character. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

8.18s
Total Load Time
5
HTTP Requests
1
Domains
0 KB
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:3,779 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service38% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
38%
corporate
25%
news/blog
20%

Detected Features

Articles
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5137.193.6.16Unterhaching, Bavaria, Germany
AS680Verein zur Foerderung eines Deutschen Forschungsnetzes e.V.
51--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17743703268F1A423014392E07665AF09FF52F70BCA4B5940B69C07A12FD6EA6DD1378E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:sOnxzf3YbHxBHZSKbc0Y1HGu/YIAiv3eIPekuy0Nc1cqZSIHw5gsG38/kycr9bSd:sMs9BHAO3mm+f/uy0Wq2JcCo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:58824:IAEKAaNIMEMucYeiVGilhAAhMEBTAVlAMCCpwLSAhaQsQ0VgswTNpQtFClUBEsqEXIQHCCTehEEKRFHC00CCXCIMRQBQSAlR

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:ffc7c7c3d3ffffff
Perceptual Hash:b1339acccc93b364
Difference Hash:0018181616000000
Wavelet Hash:fcdcc4c4003c3c3c
Color Hash:#862d5f

Other Hashes

Crop Resistant:0018181616000000

Scan History

Scan history not available

Unable to load historical scan data