Security Scan Report: www.unibw.de

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Submitted: Jan 9, 2026, 8:31:11 PMCompleted: Jan 9, 2026, 8:33:59 PMpubliccompleted
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Summary

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

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

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

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate university website with no security concerns.

Safety Factors
Official university domain
Content matches known institution
No data collection forms present
Domain age information unavailable

Details

Page Title

Universität der Bundeswehr München — Home

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

education learning

(43%)

Domain Information

Within the German country-code top-level domain (.de), 'www.unibw.de' is registered and includes subdomain 'www'. The second-level label 'unibw' is 5 characters long holding 2 vowels versus three consonants. Splitting it apart reveals three 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 https://www.unibw.de/home

Page Load Overview

90.24s
Total Load Time
63
HTTP Requests
1
Domains
2.0 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:4,031 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning43% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
43%
corporate
25%
news/blog
20%

Detected Features

Articles
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
63137.193.6.16Neubiberg, Bavaria, Germany
AS680Verein zur Foerderung eines Deutschen Forschungsnetzes e.V.
631--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T138F32D125E944057B0564CBF7451BF38AAF2E70A9A820841B27D2E907FF6CAD318F776

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:IwOqO6kCtBrM1MvMaMfMRQdm0grfT/QypZhzZHpijA691HzbjcMWx2vP80GTK0hq:IPY4lgrLXzZJw191lvP80GTc

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:172946:aQIBWt4EAOAkgRIoHMAWQCAIU5Pg0WYJCSRxwy2ACkgAAogYAQklYA0sHFALANQPCUVojVOYxcIMUjQ8iQDgQAQIU3gwrYAA

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:9d1ce4c263f3eb04
Difference Hash:8e363278d931360b
Wavelet Hash:ff1b0000008ffffb
Color Hash:#e06ca2

Other Hashes

Scan History

Scan history not available

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