Security Scan Report: www.visitberlin.de

Redirected to:
https://www.visitberlin.de/en/event-calendar-berlin?event_expired=1
Site favicon
Submitted: Sep 27, 2026, 10:57:04 AMCompleted: Sep 27, 2026, 10:58:07 AMpubliccompleted

This website contacted 11 IPs in 2 countries across 4 domains to perform 164 HTTP transactions. The main domain is visitberlin.de and was registered 8 years ago.

Submitted URL: https://www.visitberlin.de/en/event/bmw-berlin-marathon-2026

Effective URL:

https://www.visitberlin.de/en/event-calendar-berlin?event_expired=1
Redirected

The Cisco Umbrella rank of the primary domain is #456,372 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Official visitBerlin event calendar on a 12-year-old domain with self-branding, benign search/filter forms, and no credential, payment, malware, or threat-intel signals. Legitimate.

Safety Factors (5)
Established 12-year-old domain with consistent brand identity
Official-looking tourism/event directory content with real venue addresses and external museum links
No credential or payment collection forms present
No threat intelligence, malware, or network IDS hits
Forms are benign (search, category filters, contact) with same-origin actions
Domain age information unavailable

Details

Page Title

Event calendar for Berlin | visitBerlin.de

Scan Type

public

Domain Name Analysis

Domain 'www.visitberlin.de' uses the German country-code top-level domain (.de); it also runs on subdomain 'www'. The registrable portion 'visitberlin' spans 11 characters holding 4 vowels versus 7 consonants. It segments into 2 words: visit, berlin. Median word length is 5.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.visitberlin.de/en/event/bmw-berlin-marathon-2026

Page Load Overview

4.06s
Total Load Time
7.4 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:18,924 chars
Detector Agreement:60%

Website Classification

Primary Category

travel tourism53% confidence
Type: webapp
Method: ml+structural

All Detected Categories

travel tourism
53%
entertainment media
53%

Detected Features

Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
24116.202.125.180Germany
AS24940Hetzner Online GmbH
14195.181.175.40Datacamp · CDNFrankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
1494.237.98.115Frankfurt am Main, Hesse, Germany
AS202053UpCloud Ltd
1494.237.28.215Finland
AS202053UpCloud Ltd
1437.19.194.81Datacamp · CDNFrankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
1485.9.205.84Frankfurt am Main, Hesse, Germany
AS202053UpCloud Ltd
14212.102.56.178Datacamp · CDNFrankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
1494.237.93.104Frankfurt am Main, Hesse, Germany
AS202053UpCloud Ltd
14195.181.170.19Datacamp · CDNFrankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
1479.127.216.204Datacamp · CDNFrankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
16411--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10284876296F826BF417220F2D2797B1A6E51E01BD3D60845B2FCC6994FD6E112727C3C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ugKEh19crFbeaba6bkeQ6QVNygBy9M6CNo1UDRJw2rpzviD2GrUgF3mBLQtxcXSG:R0PDxYrYPEgtvTK6UN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:375384:RAKoAIAIKGIABkOpwDSWRAXAIscQjCAUBACEBAQ+Rh6AGEFi0BqZJfDa9AgigIQSiwEpCDgAS4gFBgAAEVCNKQyHWdVqaIUK

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:ffe0ff100307c7c7
Perceptual Hash:bcc9f0a77cc886a2
Difference Hash:23052033565f172d
Wavelet Hash:ffe0f8000307ff83
Color Hash:#8790c5

Scan History

Scan history not available

Unable to load historical scan data