Security Scan Report: german.germanvillage.com

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Submitted: Sep 26, 2026, 6:33:41 PMCompleted: Sep 26, 2026, 6:34:36 PMpubliccompleted

This website contacted 39 IPs in 2 countries across 24 domains to perform 107 HTTP transactions. The main domain is german.germanvillage.com and was registered 18 years ago.

Submitted URL: https://german.germanvillage.com/events/details/gvs-oktoberfest-tap-the-keg-1606156

AI Security Verdict

Safe Website

Confidence: 92%

1
Risk Score

Established 26-year-old German Village Society domain hosting a genuine community Oktoberfest event page. No credential/payment forms, no malware, no impersonation; threat-intel hits are generic abuse-reputation tags on third-party CDN IPs.

Safety Factors (5)
26-year-old established domain (registration 1999)
Self-branding: page title/meta matches its own domain, not impersonating another entity
No password, disguised-password, or payment fields on the page
Form submission is a same-brand Constant Contact newsletter opt-in, not credential exfiltration
Real-world verifiable details: physical street address, phone number, event date, tickets priced at $10
Domain age information unavailable

Details

Page Title

GVS Oktoberfest - Tap the Keg »secondary capture

Scan Type

public

Domain Name Analysis

The domain 'german.germanvillage.com' uses the commercial generic top-level domain (.com) and includes subdomain 'german'. Count 13 characters in 'germanvillage' with five vowels and 8 consonants. It segments into two words: german, village. Average segment length settles at 6.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://german.germanvillage.com/events/details/gvs-oktoberfest-tap-the-keg-1606156

Page Load Overview

3.91s
Total Load Time
2.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:3,633 chars
Detector Agreement:80%

Website Classification

Primary Category

corporate50% confidence
Type: spa
Method: structural

All Detected Categories

corporate
50%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
31172.170.249.2Azure · CLOUDDes Moines, Iowa, United States
AS8075Microsoft Corporation
2104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2192.0.78.24San Francisco, California, United States
AS2635Automattic, Inc
2192.0.77.37San Francisco, California, United States
AS2635Automattic, Inc
2104.17.24.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2146.75.121.137Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
2192.0.77.32San Francisco, California, United States
AS2635Automattic, Inc
2192.0.76.3San Francisco, California, United States
AS2635Automattic, Inc
2172.66.133.186Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2142.251.127.95Google · CDNUnited States
AS15169Google LLC
10739--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15DD3F863DC9C407A156B0399B8957B39A25C9206CE404BE5BEFC053C8FCFDB169BB648

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:jcZbKGCQ1B0YY1oZr1Y/UYB+Zvoxm4k1HD85Br+IoROqTO5Zqhl9ZVJPls53pdEH:wZbKGCQ1B0YY1oZr1Y/UYB+Zvam4k1HR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:138182:VACBGAlBCBSkIuBhuEUBEAzgKYBnmDoSNlNjZQJYIgEiQSUASABDZ4BZepAwOCuIFDAgC4NxQKFAAjACwBAqyETggciLAgQa

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:e0c0c0f8fffffbfb
Perceptual Hash:d9562da48d8339ab
Difference Hash:44000050b394a3b3
Wavelet Hash:208080f8f9dff1f9
Color Hash:#6ce0d2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data