Security Scan Report: uni-hamburg.de

Redirected to:
https://www.uni-hamburg.de/
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Submitted: Jul 4, 2026, 3:48:06 PMCompleted: Jul 4, 2026, 3:49:20 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 3 domains to perform 2 HTTP transactions. The main domain is uni-hamburg.de.

Submitted URL: https://uni-hamburg.de

Effective URL: https://www.uni-hamburg.de/Redirected

The Cisco Umbrella rank of the primary domain is #114,007 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 93%

0
Risk Score

The site is a legitimate university portal with no malicious signals.

Safety Factors
Own-brand self‑branding
Absence of credential or payment collection
No malicious indicators from threat intel, YARA, or IDS
Domain age information unavailable

Details

Page Title

UHH : Universität Hamburg

Scan Type

public

Language

🇩🇪

German

(80% confidence)

Category

corporate

(50%)

Domain Information

Within the German country-code top-level domain (.de), 'uni-hamburg.de' is registered. The core label 'uni-hamburg' covers 11 characters split between four vowels and six consonants; it also includes 1 hyphen. Splitting it apart reveals two words: uni, hamburg. Median word length is five characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://uni-hamburg.de

Page Load Overview

5.27s
Total Load Time
44
HTTP Requests
7
Domains
3.5 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:8,431 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate50% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
50%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
44134.100.36.8Hamburg, Free and Hanseatic City of Hamburg, Germany
AS680Verein zur Foerderung eines Deutschen Forschungsnetzes e.V.
441--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A363A33390471C374227A2C861BA63B86103C23BDF572825B3FC93D67A9BDA65915C6F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:rKFKohLG2Crbw3N6WcI2qu2RM25Ao2rH2mS2sN2RX82cz2+r2TV2ys2682VJ2K9j:rKFKjE6Wn4tCaWVZRWgZHnqfAGnQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:67415:IMIggVIgTAwfjIJEDAoeJnSyaAgZAIAFmxQGnoS0CAG5myoimAIdlvCBWIBQISKgAoSViR9SAEUcQQIkQJgYHgABiSgUNEzo

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:ffff0f0f07070fff
Perceptual Hash:91ceee67e31b1818
Difference Hash:4876bcdadfdf1998
Wavelet Hash:ffbf0603030305ef
Color Hash:#d22d72

Scan History

Scan history not available

Unable to load historical scan data