Security Scan Report: podcasts-cdn.itunes-apple.com.akadns.net

Submitted: Jan 3, 2026, 8:10:02 AMCompleted: Jan 3, 2026, 8:11:48 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is podcasts-cdn.itunes-apple.com.akadns.net and was registered NaN years ago.

Submitted URL: https://podcasts-cdn.itunes-apple.com.akadns.net

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Invalid URL

Scan Type

public

Language

🇺🇸

English

(65% confidence)

Category

technology software

(50%)

Domain Information

Domain 'podcasts-cdn.itunes-apple.com.akadns.net' uses the network infrastructure generic top-level domain (.net); it also runs on subdomain 'podcasts-cdn.itunes-apple.com'. Count 6 characters in 'akadns' holding two vowels versus four consonants. Word splitting yields two words: aka, dns. The median word length lands at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://podcasts-cdn.itunes-apple.com.akadns.net

Page Load Overview

0.52s
Total Load Time
2
HTTP Requests
1
Domains
1 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:65%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:65%
Script Type:Latin
Text Length:165 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software50% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
50%
documentation technical
48%
news media journalism
45%
healthcare medical
45%
government public service
45%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
223.52.180.26Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T175D0A7F70096B1964DB114C81CDB77AADEF76394C500CDE8A3563194ED4DDF198C6862

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxwg3p0hEr6V39p0EzRx3RHqxgXJHvs9xM4awL/JHNz:kxj3pQR3pvzRxpqSCgZw/

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:cdde65b6a22039529b40557ef81cd120

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

Average Hash:3f3fffffffffffff
Perceptual Hash:8303030303e3ffff
Difference Hash:c040000000000000
Wavelet Hash:3030f0f0f0f0f0f0
Color Hash:#40bf68

Other Hashes

Crop Resistant:c040000000000000

Scan History

Scan history not available

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