Security Scan Report: www.uni-bielefeld.de

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Submitted: Aug 25, 2026, 7:00:36 PMCompleted: Aug 25, 2026, 7:01:55 PMpubliccompleted

This website contacted 1 IP in 1 country across 1 domain to perform 30 HTTP transactions. The main domain is uni-bielefeld.de.

Submitted URL: https://www.uni-bielefeld.de/einrichtungen/cias/publikationen/wiki/p/populism.xml

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

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

The page is a legitimate university article with no phishing or malware indicators.

Safety Factors (3)
Official university domain
Informational content with academic references
No external redirects or suspicious scripts
Domain age information unavailable

Details

Page Title

Populism - Bielefeld University

Scan Type

public

Domain Name Analysis

The domain name 'www.uni-bielefeld.de' uses the German country-code top-level domain (.de) and includes subdomain 'www'. The registrable portion 'uni-bielefeld' spans 13 characters containing six vowels alongside six consonants; bonus characters include 1 hyphen. Tokenizing the label suggests two 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://www.uni-bielefeld.de/einrichtungen/cias/publikationen/wiki/p/populism.xml

Page Load Overview

10.05s
Total Load Time
742 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-us
Text Length:19,933 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service50% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
50%
forum community discussion
46%
news media journalism
43%
education learning
39%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
30129.70.240.4Bielefeld, North Rhine-Westphalia, Germany
AS680Verein zur Foerderung eines Deutschen Forschungsnetzes e.V.
301--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F2B155264A00094943321016AE06B6C08B26DE1BAB6DD964B59F338E5FD5F44C57B76F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:fFAjuTjh6HWa2JuTjh6HWYiODzBGKvl8bOltri6OeQhK:dINoNTi0BJvl8ki6+hK

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5369:AkROQYAgChAYgA9ZQDDxAMJAAAAAQI4AyAhQGCgh0ICgACIEUCAAADMyQICgSQiAgAwCBQEOIgQIlAJCQBQgIAIDUoRw5gCU

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:3c3c3c3c04000100
Perceptual Hash:9ac7ad3434ed303c
Difference Hash:696969696d1d231f
Wavelet Hash:3d3c3c3c0400dfef
Color Hash:#5356ac

Scan History

Scan history not available

Unable to load historical scan data