Summary
This website contacted 6 IPs in 2 countries across 11 domains to perform 104 HTTP transactions. The main domain is 1047kissfm.iheart.com and was registered NaN years ago.
Submitted URL: https://1047kissfm.iheart.com/content/2026-01-26-ye-apologizes-for-past-vile-comments-in-open-letter-about-his-mental-health/
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 news article with no security concerns.
Safety Factors
Details
Page Title
Ye Apologizes For Past Vile Comments In Open Letter About His Mental Health | 104.7 KISS FM Phoenix
Scan Type
public
Language
English
Category
entertainment media
(64%)Domain Information
You're looking at domain '1047kissfm.iheart.com' on the commercial generic top-level domain (.com); it also runs on subdomain '1047kissfm'. Count 6 characters in 'iheart' split between three vowels and 3 consonants. It segments into two words: i, heart. 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 |
|---|---|---|---|
| 27 | 146.75.121.13 | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 22 | 146.75.122.193 | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 22 | 146.75.122.84 | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 22 | 104.18.87.42 | United States | AS13335Cloudflare, Inc. |
| 22 | 13.226.244.50 | Unknown | Unknown |
| 22 | 52.31.132.82 | Unknown | Unknown |
| 137 | 6 | - | - |
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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