Security Scan Report: versalia.de

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Submitted: Feb 26, 2026, 2:18:21 AMCompleted: Feb 26, 2026, 2:19:37 AMpubliccompleted
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Summary

This website contacted 3 IPs in 1 country across 5 domains to perform 1 HTTP transaction. The main domain is versalia.de and was registered NaN years ago.

Submitted URL: https://versalia.de

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

The site appears to be a legitimate literature portal with no security concerns.

Safety Factors
Well‑established domain with long registration history
Absence of malicious Indicators of Compromise
No password or payment collection fields
No suspicious JavaScript behavior or malware signatures
Unranked status mitigated by domain age and legitimate content
Domain age information unavailable

Details

Page Title

versalia.de - Das Literaturportal

Scan Type

public

Language

🇩🇪

German

(47% confidence)

Category

adult content

(48%)

Domain Information

The domain name 'versalia.de' uses the German country-code top-level domain (.de) while skipping any subdomain. The core label 'versalia' covers 8 characters with 4 vowels and four consonants. Word splitting yields 2 words: versa, lia. The median word length lands at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://versalia.de

Page Load Overview

5.92s
Total Load Time
28
HTTP Requests
5
Domains
120 KB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:47%
Script:Latin
Direction:ltr

Detection Details

Language Code:de
Detection Confidence:47%
Script Type:Latin
Text Length:6,570 chars
Detector Agreement:75%

Website Classification

Primary Category

adult content48% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
48%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10104.17.25.14Germany
985.13.134.73Germany
AS34788Neue Medien Muennich GmbH
991.233.84.30Germany
AS20647IPB Internet Provider in Berlin GmbH
283--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BCD21AB326880E1F4E0582C5F161FFDCA5ABB16FF301068EF29B94677584AEC48517AC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:D0+5qCqf/Gz3mqVuSLFFzfnSlhtrBTolmaYsh27MYoyiAd:Fli5mL/nutrC4PMNm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:29962:AAqOJFoD8DABTIOQxBGQHxOVSAyAUyjADCoZByQFyReGBgAIQdDEaQugu0EcCIBtGeEaIMBhkQEEAUGkIOAhBJgGIIkjCL+k

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:c3c3c383c3c3c3c3
Perceptual Hash:bc3cc3c31c3cc3c3
Difference Hash:3e1e36363e161616
Wavelet Hash:c3c3c3c3c3c3c3c3
Color Hash:#d2932d

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data