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

Redirected to:
https://www.llt.rwth-aachen.de/go/id/doje/?lidx=1
Site favicon
Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 1 domain to perform 17 HTTP transactions. The main domain is rwth-aachen.de.

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

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

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

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

The page appears to be a legitimate university site with no malicious indicators.

Safety Factors (4)
Official university domain (RWTH Aachen)
No suspicious redirects or external links
No IDS alerts or network anomalies
Content categorized as education with high confidence
Domain age information unavailable

Details

Page Title

Chair for Laser Technology LLT | RWTH Aachen University | EN

Scan Type

public

Domain Name Analysis

The domain 'www.llt.rwth-aachen.de' uses the German country-code top-level domain (.de) and includes subdomain 'www.llt'. The second-level label 'rwth-aachen' is 11 characters long with 3 vowels and seven consonants; it also includes one hyphen. Tokenizing the label suggests 3 words: rw, th, aachen. Expect 2 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.78s
Total Load Time
1.1 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:3,261 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

education learning
67%
healthcare medical
38%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17137.226.107.63Aachen, North Rhine-Westphalia, Germany
AS47610RWTH Aachen University
171--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F1F251239546B13702A747EAB9315BA9D0C3852BD9833442D9F9839F33D6DD2CE0627E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:c4HySaao4KaSfy/iw/jYT3nmCAdq/F7spFtA:nSiDFf/jcnmCAdq/F7spFtA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:35710:RGwsiWwOACSMEJRW1oDOAU3qIGwmQAkmZIQoFAMaCQLPhQRUkECgwAG+iKSgEYUTlzqBwBCBwIjYWBLZCgNMCAUoJawiiAOS

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:ffff0f07070707ff
Perceptual Hash:b3cccc12cf320c3f
Difference Hash:c040bfdf5dbd1d5c
Wavelet Hash:7cff0303030303ff
Color Hash:#3a7850

Scan History

Scan history not available

Unable to load historical scan data