Security Scan Report: uni-stuttgart.de

Redirected to:
https://www.uni-stuttgart.de/
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Submitted: Jun 2, 2026, 11:08:18 PMCompleted: Jun 2, 2026, 11:09:30 PMpubliccompleted
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Summary

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

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

Effective URL: https://www.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%

1
Risk Score

The site appears legitimate with no malicious indicators.

Safety Factors
Official university domain (uni-stuttgart.de) matches brand
Domain age unknown but neutral per policy
Only one harmless form without credential fields
JS obfuscation score high but no malicious behavior detected
Domain age information unavailable

Details

Page Title

Universität Stuttgart

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

education learning

(56%)

Domain Information

Within the German country-code top-level domain (.de), 'uni-stuttgart.de' is registered. Count 13 characters in 'uni-stuttgart' split between 4 vowels and 8 consonants, notching one hyphen. Breaking it apart gives 2 words: uni, stuttgart. Median word length is six characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.01s
Total Load Time
72
HTTP Requests
3
Domains
12.5 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:10,302 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning56% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
56%
adult content
32%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
36129.69.0.47Böblingen, Baden-Wurttemberg, Germany
AS553Universitaet Stuttgart
36129.69.8.19Böblingen, Baden-Wurttemberg, Germany
AS553Universitaet Stuttgart
722--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A8D33E721A895D37820B92C424745B38D6CBDF7BC297284AB3FF061977AADC4DD0709A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:4csiZATs/lA9KtKOK0KdKSKHdZdBazb5N+hUI9KwtiPUCfXx7X+KkHKU4fXx7XDt:4csiZATs/lA9KtKOK0KdKSKHd8I9KwtA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:140502:hIBgCKWIKDQoYCsCYzFIoCJzWINBmOyBEAoYRwdArARIFIKlcAlGgQRwwsESRBQESyZFkQIEA0gAyQFaEUVocMJEJIzggABE

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:ff81818181ffffff
Perceptual Hash:ed6d929231c6962e
Difference Hash:f023230313d4c4dc
Wavelet Hash:7e010101017f7f5f
Color Hash:#4e2dd2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data