Security Scan Report: www.verkehr.tu-darmstadt.de

Redirected to: https://www.verkehr.tu-darmstadt.de/ueber_ifv/index.de.jsp

Submitted: Mar 8, 2026, 11:58:19 PMCompleted: Mar 8, 2026, 11:59:38 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 2 domains to perform 1 HTTP transaction. The main domain is verkehr.tu-darmstadt.de.

Submitted URL: https://www.verkehr.tu-darmstadt.de

Effective URL: https://www.verkehr.tu-darmstadt.de/ueber_ifv/index.de.jspRedirected

The Cisco Umbrella rank of the primary domain is #78,748 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate university page with no security concerns.

Safety Factors
University domain (tu-darmstadt.de) with established reputation
Meta description matches page content about Institute for Traffic
No password, email, or payment fields in any forms
No JavaScript malware patterns detected
No IDS alerts or network-level threats
Domain age information unavailable

Details

Page Title

Willkommen am Institut für Verkehr – Institute für Verkehr – TU Darmstadt

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

documentation technical

(64%)

Domain Information

The domain name 'www.verkehr.tu-darmstadt.de' uses the German country-code top-level domain (.de) with subdomain 'www.verkehr'. Its registrable label 'tu-darmstadt' stretches across 12 characters split between 3 vowels and 8 consonants; it also includes one hyphen. Breaking it apart gives two words: tu, darmstadt. Expect 5.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.verkehr.tu-darmstadt.de

Page Load Overview

6.48s
Total Load Time
70
HTTP Requests
2
Domains
9.8 MB
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:7,658 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical64% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
64%
education learning
51%
government public service
49%
news/blog
20%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
70130.83.47.181Darmstadt, Hesse, Germany
AS8365Man-da.de GmbH
701--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T125938432916421370233D6D6B275BF4AB1D3830EDA071880E7FD53D91BEACA47819E9E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:BwJ1+EzBlFwrYL3Gb5KsQCi5F0The7/HQ6sE8mCQXvL0e0eDede7e8ehFm3P3GTo:24AP2T0rMmvv8bnit/Noiltrl

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:90298:X2ipxalXNQIEQAxACoSggRALWASLQFkJ4imAxGnw6ApBYARFIU0CMAZaFAXCZhGUEnHQcQsgErvKQigaug0ECIIYoEUAUAFp

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:0000181818393c0e
Perceptual Hash:c93c36c39494db9c
Difference Hash:8c2333333373f1bc
Wavelet Hash:7e00181899b97d5f
Color Hash:#40bf80

Other Hashes

Scan History

Scan history not available

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