Summary
This website contacted 18 IPs in 1 country across 5 domains to perform 172 HTTP transactions. The main domain is podcasts.apple.com and was registered NaN years ago.
Submitted URL: https://podcasts.apple.com/us/new
The Cisco Umbrella rank of the primary domain is #17 of the top 1 million websitesTop 100 Site
AI Security Verdict
Safe Website
Confidence: 98%
The site appears to be the legitimate Apple Podcasts web player.
Safety Factors
Details
Page Title
Apple Podcasts - Web Player
Scan Type
public
Language
English
Category
entertainment media
(73%)Domain Information
You're looking at domain 'podcasts.apple.com' on the commercial generic top-level domain (.com), featuring subdomain 'podcasts'. Its registrable label 'apple' stretches across 5 characters with two vowels and three consonants. Breaking it apart gives 1 word: apple. Most frequently, 'apple' shows up in Tagalog. You will also see it in English and Sinhala contexts. Net impression: Tagalog phrase with single-word simplicity.
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 |
|---|---|---|---|
| 19 | 17.253.57.202 | Frankfurt am Main, Hesse, Germany | AS6185APPLE-AUSTIN |
| 9 | 17.253.57.198 | Frankfurt am Main, Hesse, Germany | AS6185APPLE-AUSTIN |
| 9 | 23.35.236.24 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 9 | 146.75.123.6 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 9 | 23.35.236.212 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 9 | 2a02:26f0:3500:596::2a1 | Germany | Unknown |
| 9 | 2a02:26f0:3500:58a::2a1 | Germany | Unknown |
| 9 | 2a01:b740:a10:f100::198 | Germany | Unknown |
| 9 | 2a02:26f0:3500:59a::2a1 | Germany | Unknown |
| 9 | 2a02:26f0:3500:590::2a1 | Germany | Unknown |
| 172 | 18 | - | - |
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
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