Summary
This website contacted 67 IPs in 3 countries across 30 domains to perform 133 HTTP transactions. The main domain is myhot105.iheart.com.
Submitted URL: https://myhot105.iheart.com/featured/breakfast-club/content/2025-12-08-51-the-breakfast-club-interview-kehlani-talks-new-music-ai-artists-activism/
The Cisco Umbrella rank of the primary domain is #9,915 of the top 1 million websitesTop 10K Site
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate interview page with no security concerns.
Safety Factors
Details
Page Title
INTERVIEW: Kehlani Talks New Music, AI 'Artists', Activism, Motherhood + Mo | HOT 105.7 | The Breakfast Club
Scan Type
public
Language
English
Category
entertainment media
(72%)Domain Information
The domain 'myhot105.iheart.com' uses the commercial generic top-level domain (.com) and includes subdomain 'myhot105'. The second-level label 'iheart' is 6 characters long with 3 vowels and three consonants. Segmentation suggests two words: i, heart. Median word length comes out to 3 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 |
|---|---|---|---|
| 67 | 54.192.35.40 | United States | AS16509AMAZON-02 |
| 1 | 146.75.122.193 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 1 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 1 | 104.21.37.193 | United States | AS13335CLOUDFLARENET |
| 1 | 52.31.236.110 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 1 | 18.245.46.53 | United States | AS16509AMAZON-02 |
| 1 | 146.75.122.84 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 1 | 104.18.86.42 | United States | AS13335CLOUDFLARENET |
| 1 | 23.52.181.124 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 1 | 142.250.186.130 | United States | AS15169GOOGLE |
| 133 | 67 | - | - |
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
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