Security Scan Report: tik.uni-stuttgart.de

Redirected to: https://www.tik.uni-stuttgart.de/

Submitted: Dec 20, 2025, 10:11:08 AMCompleted: Dec 20, 2025, 10:11:37 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 3 domains to perform 60 HTTP transactions. The main domain is tik.uni-stuttgart.de and was registered NaN years ago.

Submitted URL: https://tik.uni-stuttgart.de

Effective URL: https://www.tik.uni-stuttgart.de/Redirected

The Cisco Umbrella rank of the primary domain is #79,008 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate university site with no apparent security threats.

Safety Factors
Official university subdomain (tik.uni-stuttgart.de)
Established domain age of 214 days (moderate but acceptable for academic sites)
No suspicious redirects or external links
Domain age information unavailable

Details

Page Title

Technische Informations- und Kommunikationsdienste (TIK) | Universität Stuttgart

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

technology software

(95%)

Domain Information

The domain name 'tik.uni-stuttgart.de' uses the German country-code top-level domain (.de); it also runs on subdomain 'tik'. The core label 'uni-stuttgart' covers 13 characters containing four vowels alongside eight consonants, notching 1 hyphen. Splitting it apart reveals 2 words: uni, stuttgart. Median word length comes out to 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://tik.uni-stuttgart.de

Page Load Overview

11.02s
Total Load Time
60
HTTP Requests
3
Domains
6.9 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:4,292 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software95% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

technology software
95%
documentation technical
91%
government public service
61%
education learning
55%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
60129.69.8.19Stuttgart, Baden-Wurttemberg, Germany
AS553Universitaet Stuttgart
601--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15543602255DC2C3B810382CA60705B29E9DFDE7BD527188AB3FF46697BE6D80ED87015

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:KDsiZATs/lA9KtKOK0KdKSKHdZdBazb5NuvfffBHz8CBUHfXx7XYKFGUIfXx7X5O:KDsiZATs/lA9KtKOK0KdKSKHdZdBazbX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:58010:qiDBEAIMCSJYJIhhhInETGlDRiAQCCDwDcaAKiFsoCRcNIJKFAKAIxNAXAcgSAMiYFhQZDhh4ERhhzcEcRJEohoB4whBjYHa

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:01ffff0000100c00
Perceptual Hash:8aed1f416e536d12
Difference Hash:45a131c1c1e1f97d
Wavelet Hash:ffffff01003d0c00
Color Hash:#afc587

Scan History

Scan history not available

Unable to load historical scan data