Security Scan Report: uni-bielefeld.de

Redirected to:
https://www.uni-bielefeld.de/
Site favicon
Submitted: Sep 23, 2026, 6:24:58 AMCompleted: Sep 23, 2026, 6:25:33 AMpubliccompleted

This website contacted 2 IPs in 1 country across 3 domains to perform 49 HTTP transactions. The main domain is uni-bielefeld.de.

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

Effective URL:

https://www.uni-bielefeld.de/
Redirected

The Cisco Umbrella rank of the primary domain is #200,752 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Official Bielefeld University website. Domain matches brand, no forms capturing credentials or payment, and no threat-intel, malware, or network alerts. Safe.

Safety Factors (5)
Domain name matches the institution it represents
No credential, login, or payment forms (search form only)
No Indicators of Compromise, no JavaScript malware patterns, no network IDS alerts
No cross-origin credential handling or exfiltration detected
Content consistent with an established academic institution
Domain age information unavailable

Details

Page Title

Bielefeld University

Scan Type

public

Domain Name Analysis

Domain 'uni-bielefeld.de' uses the German country-code top-level domain (.de) and has no subdomain. Its registrable label 'uni-bielefeld' stretches across 13 characters split between six vowels and six consonants; bonus characters include 1 hyphen. Breaking it apart gives 2 words: uni, bielefeld. Median word length comes out to 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.88s
Total Load Time
1.3 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:8,559 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning63% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education learning
63%
technology software
48%
government public service
47%
adult content
42%
documentation technical
38%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
25129.70.240.4Bielefeld, North Rhine-Westphalia, Germany
AS680Verein zur Foerderung eines Deutschen Forschungsnetzes e.V.
24129.70.46.79Steinhagen, North Rhine-Westphalia, Germany
AS680Verein zur Foerderung eines Deutschen Forschungsnetzes e.V.
492--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D3B153634B01080D53325523AA0372D4C7269A8FBB598864F8EF339A5BD5F44C67BB6F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:xFCNT15zOENT15zbx2hTNT15z2/czBGKvl8bOltri3eQhy:XCN15z5N15zb6TN15z2OBJvl8kihhy

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5365:CkQQAQEGAFBZAAgAQAQQEIAREDIkFBKlCALgCARQjCTAABAAYBHKERBFZAAoAMFSJQEBEIHAAlBMAACCAADwkgAAAIAMIQAB

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:3c7c7c3c00000000
Perceptual Hash:d2873c34e51a3d6c
Difference Hash:69696969491d5d45
Wavelet Hash:fffffdfd20000001
Color Hash:#bf9540

Scan History

Scan history not available

Unable to load historical scan data