Security Scan Report: www.experiencefountainhills.org

Redirected to:
https://www.experiencefountainhills.org/events/2026/fountain-hills-okt...
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Submitted: Sep 26, 2026, 6:29:35 PMCompleted: Sep 26, 2026, 6:30:38 PMpubliccompleted

This website contacted 30 IPs in 2 countries across 23 domains to perform 124 HTTP transactions. The main domain is experiencefountainhills.org and was registered 21 years ago.

Submitted URL: https://www.experiencefountainhills.org/events/2025/fountain-hills-oktoberfest

Effective URL:

https://www.experiencefountainhills.org/events/2026/fountain-hills-okt...
Redirected

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Official Town of Fountain Hills tourism page listing the 2026 Oktoberfest event; 14-year-old municipal domain, no forms capturing credentials or payment, no threat-intel or malware signals.

Safety Factors (5)
Established 14-year-old domain matching the displayed municipal tourism brand (self-branding)
Business legitimacy indicators: physical address, phone number, legal/privacy terms, government contact email
Only form is a website search box; no data capture fields
og:type=article event content with clear attribution to the Town of Fountain Hills
All external domains are standard analytics/CDN/font providers (Google Analytics, Hotjar, Google Fonts, Typekit, Facebook)
Domain age information unavailable

Details

Page Title

Fountain Hills Oktoberfest 2026 | Hosted by Fountain Hills Sister Cities

Scan Type

public

Domain Name Analysis

The domain 'www.experiencefountainhills.org' uses the non-profit oriented generic top-level domain (.org) and includes subdomain 'www'. The second-level label 'experiencefountainhills' is 23 characters long split between ten vowels and 13 consonants. Breaking it apart gives 3 words: experience, fountain, hills. The median word length lands at eight characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.experiencefountainhills.org/events/2025/fountain-hills-oktoberfest

Page Load Overview

7.36s
Total Load Time
4.9 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:7,467 chars
Detector Agreement:100%

Website Classification

Primary Category

news/blog40% confidence
Type: spa
Method: structural

All Detected Categories

news/blog
40%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
813.88.18.55Azure · CLOUDSan Jose, California, United States
AS8075Microsoft Corporation
4150.171.109.105Azure · CLOUDUnited States
AS8075Microsoft Corporation
4142.251.13.97Google · CDNUnited States
AS15169Google LLC
4157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
418.66.102.53Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
434.8.125.75Google · CDNKansas City, Missouri, United States
AS396982Google LLC
4150.171.110.49Azure · CLOUDUnited States
AS8075Microsoft Corporation
4216.239.32.36Google · CDNUnited States
AS15169Google LLC
4142.251.127.155Google · CDNUnited States
AS15169Google LLC
4142.251.13.94Google · CDNUnited States
AS15169Google LLC
12430--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D1F33A3AECB06033526394DCF2FAAB997C51124FE6494C60FAECC6461FD2DA51E2346D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:dBecTKWZy9VP4PDz7cgM8p1KjxMEUp8mA6Gshf/muYwcEeN7gytd4fKDWy9:dEcTKWZAN4PX7cseN7gytKfKDWE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:166530:gBFTQwHLENQDISRGITGULglEDGmS1BhEhhyAhCLJEKJUAGMmoMBglZiRCEuACaalgQHQwQpmFgFDpAIihiCJB8JITEBCqN0m

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:0000fffffffffffd
Perceptual Hash:f1416161636169ff
Difference Hash:d59232343a3e2c39
Wavelet Hash:0000dbdfdfcfd700
Color Hash:#e06c70

Scan History

Scan history not available

Unable to load historical scan data