Security Scan Report: zhb.tu-dortmund.de

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Submitted: Jul 13, 2026, 1:28:34 PMCompleted: Jul 13, 2026, 1:29:44 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is zhb.tu-dortmund.de.

Submitted URL: https://zhb.tu-dortmund.de

The Cisco Umbrella rank of the primary domain is #99,512 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 94%

1
Risk Score

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

Safety Factors
Educational institution domain (tu-dortmund.de) with reputable top‑100k ranking
Content clearly describes university services and campus information
All forms are simple search/person lookup forms without credential collection
No external malicious resources or suspicious redirects
Domain age information unavailable

Details

Page Title

Startseite - zhb - TU Dortmund

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

education learning

(89%)

Domain Information

The domain 'zhb.tu-dortmund.de' uses the German country-code top-level domain (.de) with subdomain 'zhb'. The second-level label 'tu-dortmund' is 11 characters long containing 3 vowels alongside seven consonants, notching 1 hyphen. It segments into 2 words: tu, dortmund. Expect five characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://zhb.tu-dortmund.de

Page Load Overview

1.16s
Total Load Time
30
HTTP Requests
2
Domains
561 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:6,550 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning89% confidence
Type: webapp
Method: ml+structural+ocr_tiebreaker

All Detected Categories

education learning
89%
documentation technical
51%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
30129.217.143.204Dortmund, North Rhine-Westphalia, Germany
AS680Verein zur Foerderung eines Deutschen Forschungsnetzes e.V.
301--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T126C39212D1E0733B229382B4EAB416667EA48587D1466888F7BF47414F87FF2DD63638

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:Vo6S+QqcXwkRZkRRp08c0pUgYAajLHyPDqLTL:ZLp08c0pUgYAajLSS

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:123834:nRqCDaABPC11UaACAhQZREIEriW04HMLDuMAgzAsAROP24Q4g1EihQJQCkJQQABrgCASbIEIQjqBFBIAAlgjKqRABSQqsIhM

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:ff81818581ffffff
Perceptual Hash:be2fc5c13092cd4e
Difference Hash:54476b3d5d82bcb0
Wavelet Hash:be00000101ffffff
Color Hash:#5371ac

Scan History

Scan history not available

Unable to load historical scan data