Security Scan Report: www.uni-saarland.de

Redirected to: https://www.uni-saarland.de/start.html

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Submitted: Feb 23, 2026, 6:29:01 AMCompleted: Feb 23, 2026, 6:30:41 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is uni-saarland.de.

Submitted URL: https://www.uni-saarland.de

Effective URL: https://www.uni-saarland.de/start.htmlRedirected

The Cisco Umbrella rank of the primary domain is #172,500 of the top 1 million websites

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

www.uni-saarland.de

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

education learning

(46%)

Domain Information

Within the German country-code top-level domain (.de), 'www.uni-saarland.de' is registered and includes subdomain 'www'. Its registrable label 'uni-saarland' stretches across 12 characters holding 5 vowels versus 6 consonants, notching one hyphen. Splitting it apart reveals 2 words: uni, saarland. The median word length lands at 5.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.uni-saarland.de

Page Load Overview

4.06s
Total Load Time
61
HTTP Requests
1
Domains
34.3 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:25,799 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning46% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
46%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
61134.96.7.127Saarbrücken, Saarland, Germany
AS680Verein zur Foerderung eines Deutschen Forschungsnetzes e.V.
611--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T105048F77329A063986558498F05B43099F20B143F50AC9BC79BCBAD9BFDED06107BB78

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:cfQho9PKBb9Js3q9Jzbs6tlg3SBKwdQWgceIszQyPwkvV1GXl2bMy8OldQ:/hoC9JSqzzbs6o3Sj3gcrsE2eAO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:184486:EEAHAsiAAIqkhEcQeAEBCgsA3AcIQgWYAYDIAsABDWoMoUAFatwClSAqpEYgYivfXFYIRcDU0SGIRhSQBeAEUEmtKPCCClQW

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:ffcfc3c7ffffffff
Perceptual Hash:b3318ccccc673333
Difference Hash:00180c1400000000
Wavelet Hash:3f1f030f00000000
Color Hash:#382dd2

Other Hashes

Crop Resistant:00180c1400000000

Scan History

Scan history not available

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