Summary
This website contacted 14 IPs in 2 countries across 3 domains to perform 33 HTTP transactions. The main domain is podcasters.apple.com and was registered NaN years ago.
Submitted URL: https://podcasters.apple.com/
AI Security Verdict
Safe Website
Confidence: 95%
The site is a legitimate Apple Podcasts for Creators page with no security concerns.
Safety Factors
Details
Page Title
Apple Podcasts for Creators
Scan Type
public
Language
English
Category
entertainment media
(65%)Domain Information
You're looking at domain 'podcasters.apple.com' on the commercial generic top-level domain (.com); it also runs on subdomain 'podcasters'. Its registrable label 'apple' stretches across 5 characters with 2 vowels and three consonants. Splitting it apart reveals 1 word: apple. Median word length comes out to five characters. 'apple' most strongly signals Tagalog. You may catch it in English and Sinhala as well.
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 |
|---|---|---|---|
| 7 | 23.53.42.130 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 23.207.210.132 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 23.35.236.212 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 2 | 17.8.136.5 | United States | AS714APPLE-ENGINEERING |
| 2 | 23.199.28.249 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 2 | 23.53.42.168 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 2a02:26f0:3500:18::1724:a29e | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 17.8.136.187 | United States | AS714APPLE-ENGINEERING |
| 2 | 2a02:26f0:3100:48b::1aca | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 2a02:26f0:3100:483::1aca | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 33 | 14 | - | - |
Detected Technologies4
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
Scan history not available
Unable to load historical scan data