Security Scan Report: unibw.de

Redirected to:
https://www.unibw.de/home
Site favicon
Submitted: Jan 19, 2026, 12:00:48 AMCompleted: Jan 19, 2026, 12:02:04 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 2 domains to perform 1 HTTP transaction. The main domain is unibw.de.

Submitted URL: https://unibw.de

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

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

AI Security Verdict

Moderate Risk

Confidence: 70%

5
Risk Score

Site appears legitimate but unknown age and low ranking suggest moderate risk; verify independently.

Risk Factors
Domain age unknown – cannot verify how long the site has been established
Low ranking for brand claim – the domain is not in the top 100 K
Safety Factors
No forms collecting passwords, emails, or payment information
Content appears to be legitimate university information
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Universität der Bundeswehr München — Home

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

education learning

(58%)

Domain Information

You're looking at domain 'unibw.de' on the German country-code top-level domain (.de) with no subdomain. Count 5 characters in 'unibw' with two vowels and three consonants. It segments into three words: uni, b, w. The median word length lands at one character. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://unibw.de

Page Load Overview

2.75s
Total Load Time
83
HTTP Requests
2
Domains
6.8 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:4,183 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning58% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
58%
corporate
25%
news/blog
20%

Detected Features

Articles
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
83137.193.6.16Neubiberg, Bavaria, Germany
AS680Verein zur Foerderung eines Deutschen Forschungsnetzes e.V.
831--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T183F32E125E944057B0564CBF7451BF38AAF2E70A9A820841B27D2E907FF6CAD318F776

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:IcOqO6kCtBrM1MvMaMfMRQdm0grfT/QypZhzZHpijA691HzbDEtzGdvP80GTA0h0:IbY4lgrLXzZJw191PvP80GTBe

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:172987:IQNDwGkkrABI0TiAAgqwABlgS8CTAG3YtIIECaERkgMnBpAJTAQ0BeSAHCciAGNYxABPNKECDQcKhgDyTFAQkKZ4gAQQeAIy

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:#b2d279

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data