Security Scan Report: www.iot.rwth-aachen.de

Redirected to: https://www.iot.rwth-aachen.de/go/id/qrrz/?lidx=1

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Submitted: Jan 18, 2026, 3:12:21 AMCompleted: Jan 18, 2026, 3:13:31 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 27 HTTP transactions. The main domain is iot.rwth-aachen.de.

Submitted URL: https://www.iot.rwth-aachen.de

Effective URL: https://www.iot.rwth-aachen.de/go/id/qrrz/?lidx=1Redirected

The Cisco Umbrella rank of the primary domain is #61,642 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
No forms collecting sensitive data
Reputable institutional domain
Positive Cisco Umbrella ranking
Domain age information unavailable

Details

Page Title

Chair of Surface Engineering/Surface Engineering Institute | RWTH Aachen University | EN

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

education learning

(67%)

Domain Information

The domain 'www.iot.rwth-aachen.de' uses the German country-code top-level domain (.de) and includes subdomain 'www.iot'. The registrable portion 'rwth-aachen' spans 11 characters holding three vowels versus seven consonants, along with one hyphen. Splitting it apart reveals three words: rw, th, aachen. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.iot.rwth-aachen.de

Page Load Overview

1.79s
Total Load Time
40
HTTP Requests
1
Domains
1.2 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:5,035 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning67% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
67%
healthcare medical
46%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
40137.226.107.63Aachen, North Rhine-Westphalia, Germany
AS47610RWTH Aachen University
401--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C01395739102B03302A742EAB5345BBEE0D3852BE6873551DAF5839F23E2DC29E1557E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:J4H5graYw0aSm/i9gk4PJyME0YA0+McNn8+eGPkI81k:2ZnFYr4Ryj0YA0+McNn8+vPkI81k

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:44275:ogEBCQgABkMKhcVgFziGKMCDSgEAQEZiAyCSAUOSB0LKAAIyASEM1lwGQqAAwGQAFOVDJMNWlkUDAAJRIA0GFAuZyTpwDFGh

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:ffffc7c7860000ff
Perceptual Hash:b6a1cb5db423a31c
Difference Hash:ca228f8c144e4d2d
Wavelet Hash:ffff4743020000ff
Color Hash:#2d9ed2

Other Hashes

Scan History

Scan history not available

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