Security Scan Report: www.germanamericansociety.org

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Submitted: Completed: publiccompleted
This website contacted 19 IPs in 2 countries across 9 domains to perform 156 HTTP transactions. The main domain is germanamericansociety.org and was registered 25 years ago.

Submitted URL: https://www.germanamericansociety.org/oktoberfest

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Established 25-year-old German-American Society domain hosting its own Oktoberfest/German Day community event page. Self-branded, no forms, no credential or payment capture, and no threat-intelligence, YARA or IDS hits. Legitimate.

Safety Factors (5)
25-year-old established domain with consistent registration history
Self-branded site: title/meta match the domain, no impersonation of any third party
No forms at all — no credential, payment or data-capture surfaces
No Indicators of Compromise, YARA, Safe Browsing or IDS hits
Cross-origin requests are limited to Wix platform infrastructure and a visitor-analytics service, all top-1M ranked
Domain age information unavailable

Details

Page Title

Oktoberfest + German Day | GermanAmerican Soc

Scan Type

public

Domain Name Analysis

The domain name 'www.germanamericansociety.org' uses the non-profit oriented generic top-level domain (.org); it also runs on subdomain 'www'. The core label 'germanamericansociety' covers 21 characters holding nine vowels versus twelve consonants. Word splitting yields 3 words: german, american, society. Median word length is seven characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.germanamericansociety.org/oktoberfest

Page Load Overview

2.50s
Total Load Time
1.6 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:2,906 chars
Detector Agreement:100%

Website Classification

Primary Category

blog personal website91% confidence
Type: spa
Method: ml+structural

All Detected Categories

blog personal website
91%
government public service
68%
download file sharing
66%
adult content
56%
social media network
37%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1234.149.87.45Google · CDNKansas City, Missouri, United States
AS396982Google LLC
834.49.229.81Google · CDNKansas City, Missouri, United States
AS396982Google LLC
865.8.131.76Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
8100.57.36.175Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
834.149.206.255Google · CDNKansas City, Missouri, United States
AS396982Google LLC
8151.101.2.217Fastly · CDNUnited States
AS54113Fastly, Inc.
846.224.104.82Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
823.88.44.30Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
865.8.131.55Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
865.8.131.125Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
15619--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T176356CD4351458380ECB32BEB746BD0CA5AA1817DD86166FF8EE1D9C2AD36E802D7317

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24576:AdDmQGv0iCyP0hOd7N/3lj5oG3C5V+4tSbDm/vEY8N/tArRxBgrihlmN:AdMN/74tSba/8

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1092771:iBSaJjIE9AMQOLV6DCRxAsU2kEohJCAChEAUgEj+IKEwMHC4QEGFEIAUo7CRLMFKN4RgrmbSQJAoNE1kSekXJGBqdRho4gSY

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:7ec3c3c3c3ffe7e7
Perceptual Hash:b5258f8327858f27
Difference Hash:c20e8e960e321616
Wavelet Hash:10c3c3c3c3dfc3c3
Color Hash:#d2c679

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data