Security Scan Report: monks-aerzte-im-netz.de

Redirected to:
https://www.monks-aerzte-im-netz.de/
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Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 2 domains to perform 39 HTTP transactions. The main domain is monks-aerzte-im-netz.de.

Submitted URL: https://monks-aerzte-im-netz.de

Effective URL:
https://www.monks-aerzte-im-netz.de/
Redirected

The Cisco Umbrella rank of the primary domain is #700,800 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

Low risk site with self‑branding, no forms or malicious signals detected.

Safety Factors (3)
Self‑branding aligns with domain
Absence of forms or credential collection
No malicious indicators from threat intel or behavioral analysis
Domain age information unavailable

Details

Page Title

Home - MONKS - Ärzte im Netz

Scan Type

public

Domain Name Analysis

The domain 'monks-aerzte-im-netz.de' uses the German country-code top-level domain (.de) with no subdomain. The second-level label 'monks-aerzte-im-netz' is 20 characters long holding 6 vowels versus 11 consonants; bonus characters include three hyphens. Splitting it apart reveals 6 words: monks, aer, zte, im, net, z. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://monks-aerzte-im-netz.de

Page Load Overview

1.10s
Total Load Time
161 KB
Total Size

Language Analysis

Primary Language

🇩🇪German
Code: de
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:de
Text Length:5,353 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical95% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
95%
education learning
77%
government public service
29%
technology software
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
39195.30.108.82Vaterstetten, Bavaria, Germany
AS5539SpaceNet AG
391--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1ED432112C5AF342B422167B47AE0972FDB43A147CA2B9F00759CCF929F56F62AC1E11D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:pm0cHdx2eJZtInfsqglASxACirZiUieCf7iNNuhvabg:p2Hdx2eJZthqglr6CiFiUiniOhvabg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:60408:QKoNLAy4UjMAtDQywCCEIUCISAjUMkxalAlEuJCCMRgoAYjgASnVogMAicFADE5GAMNAsGKXAoVZiBQIaCVEIC7pZAABSEOg

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:ff7e3c3c3c0081c3
Perceptual Hash:b982ac838bae87b9
Difference Hash:ead4e8e8f8aa2b2b
Wavelet Hash:ff7e3c7c3c008183
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data