Security Scan Report: fabulousiowa.com

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Submitted: Dec 12, 2025, 9:04:08 PMCompleted: Dec 12, 2025, 9:05:12 PMpubliccompleted
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Summary

This website contacted 44 IPs in 5 countries across 21 domains to perform 208 HTTP transactions. The main domain is fabulousiowa.com and was registered NaN years ago.

Submitted URL: https://fabulousiowa.com/iowas-best/aug-7-to-aug-17-iowa-state-fair/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site with newsletter signup, no security concerns.

Safety Factors
Established domain age
No malicious Indicators of Compromise
Only email newsletter signup form
Domain age information unavailable

Details

Page Title

Aug. 7 To Aug. 17: Iowa State Fair

Scan Type

public

Language

πŸ‡ΊπŸ‡Έ

English

(80% confidence)

Category

social media network

(72%)

Domain Information

The domain 'fabulousiowa.com' uses the commercial generic top-level domain (.com). The second-level label 'fabulousiowa' is 12 characters long holding seven vowels versus five consonants. Splitting it apart reveals 2 words: fabulous, iowa. Average segment length settles at 6 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://fabulousiowa.com/iowas-best/aug-7-to-aug-17-iowa-state-fair/

Page Load Overview

10.29s
Total Load Time
208
HTTP Requests
21
Domains
4.2 MB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:63,281 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network72% confidence
Type: webapp
Method: ml+structural

All Detected Categories

social media network
72%
news/blog
35%
forum
35%
travel tourism
26%
social_media
25%

Detected Features

Search
Articles
Comments
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
36104.102.19.22Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
43.164.206.121United States
AS16509AMAZON-02
4142.251.38.78United States
AS15169GOOGLE
4162.247.243.29United States
AS54113FASTLY
437.27.135.61Helsinki, Uusimaa, Finland
AS24940Hetzner Online GmbH
4216.58.209.206United States
AS15169GOOGLE
4142.251.38.65United States
AS15169GOOGLE
4216.58.209.202United States
AS15169GOOGLE
4216.58.209.174United States
AS15169GOOGLE
4172.67.195.122United States
AS13335CLOUDFLARENET
20844--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T155545AB2144C183A470757EA9018A35EB2976536EF438896B3FE8E8C97C5DF2207763D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:raYGJn8ierol4TPh18GuzBMDSQhcX9QntzVg3nGEnC1lxnO9P5MJafvAqo1Pp4X4:qecl4bh92nGFpDJNr

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:291214:WgY2fgjABGGCBQISOEAaICAxl0RhGAyxYJEHaGNGdBYDSCEQUmKKyQgIUgQkIhoADiDnAEpVEaYOZPQAABjSQBsUJGKAIMDI

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:ffffff9f9f87c700
Perceptual Hash:bcc943b81ccf43c3
Difference Hash:332c3b393c3f2e09
Wavelet Hash:ddc79d9f87838300
Color Hash:#6d862d

Scan History

Scan history not available

Unable to load historical scan data