Summary
This website contacted 31 IPs in 3 countries across 32 domains to perform 114 HTTP transactions. The main domain is b105country.com and was registered NaN years ago.
Submitted URL: https://b105country.com/ellen-degeneres-minneapolis-message/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate informational page with no security concerns.
Safety Factors
Details
Page Title
Ellen DeGeneres Shares Support Amid Minneapolis Unrest
Scan Type
public
Language
English
Category
entertainment media
(92%)Domain Information
The domain name 'b105country.com' uses the commercial generic top-level domain (.com) and has no subdomain. The registrable portion 'b105country' spans 11 characters split between 2 vowels and 6 consonants, plus 3 digits. Word splitting yields three words: b, 105, country. Median word length is three 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 | 146.75.120.84 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 6 | 23.36.162.209 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 6 | 104.20.47.80 | United States | AS13335CLOUDFLARENET |
| 6 | 142.250.184.198 | United States | AS15169GOOGLE |
| 6 | 157.240.0.63 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 6 | 23.36.162.198 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 6 | 65.8.131.44 | United States | AS16509AMAZON-02 |
| 6 | 13.35.58.95 | Unknown | |
| 6 | 34.36.200.111 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 6 | 142.250.185.195 | United States | AS15169GOOGLE |
| 198 | 31 | - | - |
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
Scan History
Scan history not available
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