Security Scan Report: www.geographie.ruhr-uni-bochum.de

Submitted: Dec 21, 2025, 10:25:29 AMCompleted: Dec 21, 2025, 10:29:52 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 37 HTTP transactions. The main domain is geographie.ruhr-uni-bochum.de and was registered NaN years ago.

Submitted URL: https://www.geographie.ruhr-uni-bochum.de

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Official university subdomain (geographie.ruhr-uni-bochum.de)
Established domain age
No suspicious forms or data collection
Unranked status not a concern given academic context and age
Domain age information unavailable

Details

Page Title

Geographisches Institut der Ruhr-Universität Bochum

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

government public service

(63%)

Domain Information

Domain 'www.geographie.ruhr-uni-bochum.de' uses the German country-code top-level domain (.de); it also runs on subdomain 'www.geographie'. Its registrable label 'ruhr-uni-bochum' stretches across 15 characters split between 5 vowels and 8 consonants, notching two hyphens. Word splitting yields 3 words: ruhr, uni, bochum. Expect 4 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.geographie.ruhr-uni-bochum.de

Page Load Overview

259.53s
Total Load Time
37
HTTP Requests
1
Domains
42 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:8,106 chars
Detector Agreement:75%

Website Classification

Primary Category

government public service63% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
63%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
37134.147.70.93Bochum, North Rhine-Westphalia, Germany
AS29484Ruhr-Universitaet Bochum
371--

Detected Technologies3

JQueryv3.4.1
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18ED3D670D5F2002B10B791D99BB69B06BED5C21BD2175A48B7FC4FA16FCAE91A81334C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:MhcMUkx6+BTa31riJIQ1MT7FQFXOTASX7MT7FQTU5qGjSAvlck:MGh31riJIQUIXOTAveU5qbAvJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:139859:yhIQFrjwABDQxEACBQuCIQFEYpJKCFkTCSMegEAoQhN4LpIggAECbAEJjECEIIgOFBNAEZPB4pAlODxQwTFwAIkRgEqGjIEK

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Scan History

Scan history not available

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