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

Redirected to:
https://www.lih.rwth-aachen.de/go/id/pvol/?lidx=1
Site favicon
Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 1 domain to perform 14 HTTP transactions. The main domain is rwth-aachen.de.

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

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

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

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

The page is a legitimate university site with no malicious indicators.

Safety Factors (3)
Self‑branding aligns with domain
No forms collecting sensitive data
No malicious JavaScript or network alerts
Domain age information unavailable

Details

Page Title

Chair of Engineering Geology and Hydrogeology | RWTH Aachen University | EN

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.lih.rwth-aachen.de' on the German country-code top-level domain (.de), featuring subdomain 'www.lih'. The registrable portion 'rwth-aachen' spans 11 characters holding 3 vowels versus seven consonants, notching 1 hyphen. Breaking it apart gives three words: rw, th, aachen. Median word length is two characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.86s
Total Load Time
1.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:3,884 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning71% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
71%
healthcare medical
38%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14137.226.107.63Aachen, North Rhine-Westphalia, Germany
AS47610RWTH Aachen University
141--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F5037423A106B03712A342EDB6206BAAD0C3852BD5873411DEF9439F77E2DD2DE4567E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:f4HAedawnaSf/iJI3Cl6TsgAfV05qBcbP0MIM14vR7MP3n:wgp5TI3C6TsgAfV0IBcbP0MIM14vR7MP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:38870:gDFiBBCZPGYwCkgKhIQOAGZMBV0GMyViWABEij1JipEEBuCNFBYBT4QBdkCTDgDQASIqAuCQCAFAxBAgcnnaYRGAUASMRwDM

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:ffff0707070707ff
Perceptual Hash:b3fcc003dc33313e
Difference Hash:c8601f7f6dddcded
Wavelet Hash:7cff0103070703ff
Color Hash:#2d864a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data