Summary
This website contacted 33 IPs in 4 countries across 17 domains to perform 146 HTTP transactions. The main domain is ottumwaradio.com and was registered NaN years ago.
Submitted URL: https://ottumwaradio.com/2025/12/lainey-wilson-and-rod-stewart-announced-for-the-2026-iowa-state-fair-grandstand/
AI Security Verdict
Safe Website
Confidence: 85%
Legitimate local news site; login forms present but no other malicious signs.
Risk Factors
Safety Factors
Details
Page Title
Lainey Wilson and Rod Stewart Announced for the 2026 Iowa State Fair Grandstand - Ottumwa Radio
Scan Type
public
Language
English
Category
government public service
(42%)Domain Information
Domain 'ottumwaradio.com' uses the commercial generic top-level domain (.com) with no subdomain. Its registrable label 'ottumwaradio' stretches across 12 characters split between 6 vowels and six consonants. Tokenizing the label suggests two words: ottumwa, radio. The median word length lands at six characters. No strong language cues emerged from the frequency lists.
Screenshot

Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 18 | 142.251.140.170 | United States | AS15169GOOGLE |
| 4 | 5.100.156.35 | London, England, United Kingdom | AS2635AUTOMATTIC |
| 4 | 142.250.185.195 | United States | AS15169GOOGLE |
| 4 | 35.190.68.40 | United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 4 | 142.251.140.168 | United States | AS15169GOOGLE |
| 4 | 192.0.76.3 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 4 | 142.250.185.110 | United States | AS15169GOOGLE |
| 4 | 5.100.156.189 | London, England, United Kingdom | AS2635AUTOMATTIC |
| 4 | 192.0.77.2 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 4 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 146 | 33 | - | - |
Detected Technologies12
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
Scan history not available
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