Summary
This website contacted 11 IPs in 2 countries across 11 domains to perform 71 HTTP transactions. The main domain is ozarkradionews.com and was registered NaN years ago.
Submitted URL: https://www.ozarkradionews.com/local-news/cbco-blood-drive-december-26th-times-changed
AI Security Verdict
Low Risk
Confidence: 92%
Site appears legitimate; login form likely for user accounts rather than phishing.
Risk Factors
Safety Factors
Details
Page Title
CBCO Blood Drive December 26th Times Changed - Ozark Radio News
Scan Type
public
Language
English
Category
government public service
(81%)Domain Information
The domain 'www.ozarkradionews.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. The core label 'ozarkradionews' covers 14 characters split between six vowels and eight consonants. Splitting it apart reveals 3 words: ozark, radio, news. Average segment length settles at 5 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 |
|---|---|---|---|
| 11 | 216.58.210.168 | United States | AS15169GOOGLE |
| 6 | 15.197.193.217 | Seattle, Washington, United States | AS16509AMAZON-02 |
| 6 | 216.239.32.36 | United States | AS15169GOOGLE |
| 6 | 16.182.74.112 | Ashburn, Virginia, United States | AS16509AMAZON-02 |
| 6 | 13.33.237.89 | New York, New York, United States | AS16509AMAZON-02 |
| 6 | 142.251.38.67 | United States | AS15169GOOGLE |
| 6 | 108.156.22.52 | United States | AS16509AMAZON-02 |
| 6 | 173.194.221.154 | United States | AS15169GOOGLE |
| 6 | 31.13.72.36 | Bromma, Stockholm County, Sweden | AS32934FACEBOOK |
| 6 | 216.239.34.36 | United States | AS15169GOOGLE |
| 71 | 11 | - | - |
Detected Technologies9
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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