Security Scan Report: ur.de

Redirected to: https://www.uni-regensburg.de/

Submitted: Jan 26, 2026, 4:57:57 PMCompleted: Jan 26, 2026, 4:58:49 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 3 domains to perform 17 HTTP transactions. The main domain is uni-regensburg.de.

Submitted URL: https://ur.de

Effective URL: https://www.uni-regensburg.de/Redirected

The Cisco Umbrella rank of the primary domain is #131,374 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

Site appears legitimate but unknown domain age and low ranking suggest moderate risk; verify independently before providing sensitive data.

Risk Factors
Domain age unknown – cannot verify how recently the domain was registered
Low Cisco Umbrella ranking (131,374) for a site claiming a major institutional brand
Safety Factors
No forms collecting passwords, emails, or payment information
Meta tags align with the final destination domain
No malicious Indicators of Compromise detected
HTTPS connection used
Redirect leads to an official university website
Domain age information unavailable

Details

Page Title

Startseite - Universität Regensburg

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

government public service

(42%)

Domain Information

You're looking at domain 'ur.de' on the German country-code top-level domain (.de) while skipping any subdomain. Count 2 characters in 'ur' holding one vowel versus 1 consonant. Breaking it apart gives 1 word: ur. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ur.de

Page Load Overview

1.16s
Total Load Time
21
HTTP Requests
3
Domains
524 KB
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:11,192 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service42% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
42%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11194.94.156.251Berlin, State of Berlin, Germany
AS680Verein zur Foerderung eines Deutschen Forschungsnetzes e.V.
10132.199.6.137Regensburg, Bavaria, Germany
AS680Verein zur Foerderung eines Deutschen Forschungsnetzes e.V.
212--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T194B3FC63E0862A2703A24AFEF739FB14B5F2C135C60A1947D6E9D74A4297C426F1387D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:vjWMSQSEQgY4XjH9mDvl29kuKwUxKHU2pi5:yxQQoO29kuKwiKHUci5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:113519:CZRDBABEmoKBwSMlDGIQ7bAhgAiy3IC0LABAKGlACXZGENRrOuQSCOFxMBADAwKOiAAxQgFBKBuohwgBim4CAJFDax4EIUah

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:fffff181818181ff
Perceptual Hash:eec3953b152a6e42
Difference Hash:6345232303032ba6
Wavelet Hash:bfffa181818181f3
Color Hash:#6c9ce0

Scan History

Scan history not available

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