Summary
This website contacted 19 IPs in 2 countries across 19 domains to perform 55 HTTP transactions. The main domain is radio.wcmu.org and was registered NaN years ago.
Submitted URL: https://radio.wcmu.org/local-regional-news/2025-12-23/public-attitudes-toward-wolves-split-in-the-upper-peninsula
AI Security Verdict
Safe Website
Confidence: 98%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Public attitudes toward wolves split in the Upper Peninsula | WCMU Public Radio
Scan Type
public
Language
English
Category
news media journalism
(73%)Domain Information
The domain name 'radio.wcmu.org' uses the non-profit oriented generic top-level domain (.org) with subdomain 'radio'. The core label 'wcmu' covers 4 characters with one vowel and three consonants. Tokenizing the label suggests 2 words: w, cmu. Median word length comes out to 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 |
|---|---|---|---|
| 17 | 142.250.185.129 | United States | AS15169GOOGLE |
| 3 | 142.250.185.65 | Germany | |
| 3 | 216.58.206.67 | Germany | |
| 3 | 57.144.244.128 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 3 | 104.18.40.153 | United States | AS13335CLOUDFLARENET |
| 3 | 44.208.194.104 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 3 | 18.172.112.74 | United States | AS16509AMAZON-02 |
| 3 | 3.161.82.6 | United States | AS16509AMAZON-02 |
| 3 | 18.245.64.167 | United States | AS16509AMAZON-02 |
| 3 | 142.250.186.161 | United States | AS15169GOOGLE |
| 71 | 19 | - | - |
Detected Technologies6
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
Unable to load historical scan data