Security Scan Report: udk-berlin.de

Redirected to:
https://www.udk-berlin.de/
Site favicon
Submitted: Aug 30, 2026, 12:34:29 PMCompleted: Aug 30, 2026, 12:35:40 PMpubliccompleted

This website contacted 2 IPs in 1 country across 3 domains to perform 28 HTTP transactions. The main domain is udk-berlin.de.

Submitted URL: https://udk-berlin.de

Effective URL:

https://www.udk-berlin.de/
Redirected

The Cisco Umbrella rank of the primary domain is #818,360 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site is a legitimate university website with no malicious indicators.

Safety Factors
Official university domain and branding
No malicious scripts or external links
No form handling of credentials
Low Cisco Umbrella ranking is typical for niche educational sites
Domain age information unavailable

Details

Page Title

Universität der Künste Berlin

Scan Type

public

Domain Name Analysis

Domain 'udk-berlin.de' uses the German country-code top-level domain (.de) while skipping any subdomain. Its registrable label 'udk-berlin' stretches across 10 characters with 3 vowels and six consonants, notching 1 hyphen. Splitting it apart reveals 3 words: u, dk, berlin. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://udk-berlin.de

Page Load Overview

1.16s
Total Load Time
1.0 MB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:de-DE
Text Length:3,464 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning44% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
44%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14167.233.12.206Nuremberg, Bavaria, Germany
AS24940Hetzner Online GmbH
14194.95.94.58Frankfurt am Main, Hesse, Germany
AS680Verein zur Foerderung eines Deutschen Forschungsnetzes e.V.
282--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EC93E7A191F0717E12038BF9EB315B2A6F9B602BDB604884B2BC4B599F99D44DD13D3C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:YHAp9qyArUmO6XIm6MEyqF9qyU74Un9Az80TVdy2EZ6t46Qnl3taEvUPGmFHoSJf:YHNRw583tJvUPGG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:94649:CEARxgQcIMB9pjCCUYgAVkARNDwieAIERGFSOoxQAS4LSwKwmAKpAOVgcmCAM0QBkSTxTBCHgBAAAKQBOFEA7cwpBKISE52A

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:3fff3fff81819900
Perceptual Hash:8f8307b9378d070f
Difference Hash:d00867270f333365
Wavelet Hash:3fff3be781809900
Color Hash:#d2b72d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data