Security Scan Report: www.unibw.de

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Submitted: Oct 18, 2025, 10:03:11 PMCompleted: Oct 18, 2025, 10:04:18 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 99 HTTP transactions. The main domain is unibw.de.

Submitted URL: https://www.unibw.de/home

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no security concerns and appears to be a legitimate university website.

Safety Factors
Official university domain
No suspicious redirects or hidden scripts
No collection of sensitive data
Domain age information unavailable

Details

Page Title

Universität der Bundeswehr München — Home

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

education learning

(84%)

Domain Information

Domain 'www.unibw.de' uses the German country-code top-level domain (.de) and includes subdomain 'www'. Count 5 characters in 'unibw' with two vowels and three consonants. Breaking it apart gives three words: uni, b, w. Expect one character per word on average. 'unii' is most common in Polish usage. Secondary signals appear in Chinese (Zhuyin) and Indonesian. Overall, 'www.unibw.de' reads as Polish.

Screenshot

Security scan screenshot of https://www.unibw.de/home

Page Load Overview

32.01s
Total Load Time
99
HTTP Requests
1
Domains
7.3 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:3,932 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning84% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
84%
government public service
43%
adult content
42%
corporate
25%
news/blog
20%

Detected Features

Articles
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
99137.193.6.16Neubiberg, Bavaria, Germany
AS680Verein zur Foerderung eines Deutschen Forschungsnetzes e.V.
991--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13C042D215E944017B0464DBF7451BF38AAF2E70A9A820845B27D2E907FF2CAD718F776

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:0wOqO6kCtBrM1MvMaMfMRQdm0grfT/QypZhzZHpijA691ozg4EPcsRA6v1CB6Rt9:0PY4lgrLXzZJw191RRPcsRA69uNqR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:173780:NSJzOStBBTAaHsEGRBRBV0AEIUgCsJNJiArISXEEuYhQKBIiQJZAkoIDcIICRMCgUkUJiAJ2MWlIhGBWggpgNDSQLIgogi6p

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:ff9f1a0000ffffff
Perceptual Hash:9d1ce4c263f3ef00
Difference Hash:8e363278d8393637
Wavelet Hash:ff1b0000008fffdf
Color Hash:#d22d9e

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data