Summary
This website contacted 27 IPs in 2 countries across 14 domains to perform 182 HTTP transactions. The main domain is weisradio.com and was registered NaN years ago.
Submitted URL: https://weisradio.com/2025/12/02/ring-in-the-season-tuesday-night-with-jordan-davis-lauren-daigle-cma-country-christmas/
AI Security Verdict
Safe Website
Confidence: 92%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Ring in the season Tuesday night with Jordan Davis, Lauren Daigle & 'CMA Country Christmas' - WEIS | Local & Area News, Sports, & Weather
Scan Type
public
Language
English
Category
news/blog
(50%)Domain Information
The domain 'weisradio.com' uses the commercial generic top-level domain (.com) while skipping any subdomain. Its registrable label 'weisradio' stretches across 9 characters with five vowels and four consonants. It segments into three words: we, is, radio. Median word length is 2 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 |
|---|---|---|---|
| 26 | 216.58.212.130 | United States | AS15169GOOGLE |
| 6 | 142.250.185.106 | United States | AS15169GOOGLE |
| 6 | 142.250.185.163 | United States | AS15169GOOGLE |
| 6 | 172.66.42.247 | United States | AS13335CLOUDFLARENET |
| 6 | 192.124.249.128 | Menifee, California, United States | AS30148SUCURI-SEC |
| 6 | 172.66.41.9 | United States | AS13335CLOUDFLARENET |
| 6 | 216.58.206.42 | United States | AS15169GOOGLE |
| 6 | 142.250.185.136 | United States | AS15169GOOGLE |
| 6 | 54.231.171.216 | Ashburn, Virginia, United States | AS16509AMAZON-02 |
| 6 | 142.250.185.130 | United States | AS15169GOOGLE |
| 182 | 27 | - | - |
Detected Technologies8
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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