Summary
This website contacted 9 IPs in 2 countries across 9 domains to perform 2 HTTP transactions. The main domain is musicfeeds.com.au.
Submitted URL: https://musicfeeds.com.au/news/listen-to-taylor-swift-cover-phil-collins-cant-stop-loving-you/
AI Security Verdict
Low Risk
Confidence: 82%
The site appears to be a legitimate news article with no phishing or malware indicators; low risk.
Risk Factors
Safety Factors
Details
Page Title
Listen To Taylor Swift Cover Phil Collins 'Can't Stop Loving You' - Music Feeds
Scan Type
public
Language
English
Category
news/blog
(50%)Domain Information
The domain 'musicfeeds.com.au' uses the Australian country-code top-level domain (.com.au) with no subdomain. The second-level label 'musicfeeds' is 10 characters long holding 4 vowels versus six consonants. It segments into two words: music, feeds. Median word length is 5 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 |
|---|---|---|---|
| 21 | 192.0.73.2 | San Francisco, California, United States | AS2635Automattic, Inc |
| 14 | 192.0.76.3 | San Francisco, California, United States | AS2635Automattic, Inc |
| 14 | 104.16.135.69Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 14 | 192.0.66.2 | San Francisco, California, United States | AS2635Automattic, Inc |
| 14 | 146.75.119.52Fastly · CDN | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 14 | 74.125.29.95Google · CDN | United States | AS15169Google LLC |
| 14 | 192.0.66.180 | San Francisco, California, United States | AS2635Automattic, Inc |
| 14 | 23.52.181.124 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 14 | 142.251.20.157Google · CDN | United States | AS15169Google LLC |
| 133 | 9 | - | - |
Page Statistics
Detected Technologies15
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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