Security Scan Report: api-apps-lb.itunes-apple.com.akadns.net

Submitted: Completed: publiccompleted
This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is akadns.net and was registered 27 years ago.

Submitted URL: https://api-apps-lb.itunes-apple.com.akadns.net

AI Security Verdict

Not Assessed

This page returned an error rather than content, so there was nothing to assess. This is not a statement that the site is safe.

Error or status pages carry no content to analyse. The site may still be active on another path.

Details

Page Title

Invalid URL

Scan Type

public

Domain Name Analysis

Domain 'api-apps-lb.itunes-apple.com.akadns.net' uses the network infrastructure generic top-level domain (.net); it also runs on subdomain 'api-apps-lb.itunes-apple.com'. The second-level label 'akadns' is 6 characters long holding 2 vowels versus four consonants. Word splitting yields 2 words: aka, dns. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://api-apps-lb.itunes-apple.com.akadns.net

Page Load Overview

0.16s
Total Load Time
1 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Text Length:165 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software47% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
47%
news media journalism
47%
documentation technical
47%
government public service
46%
healthcare medical
46%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
223.36.156.28Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
21--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T179D0A7DB24C2D2D28E7870D81CC3375759E53B189941FEECE35564C5D65EDF188C2185

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6:qzxwg3p0hEr6V39p0EzRx3RHqxgLnXcXYwn5M4awLcSnXcXYwhuz:kxj3pQR3pvzRxpqSS7KZwoxo

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:1:0:4b7bf5deb7537d83170c57c46ef77ca1

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:c0c0000000000000
Wavelet Hash:3030f0f0f0f0f0f0
Color Hash:#97bf40

Other Hashes

Crop Resistant:c0c0000000000000

Scan History

Scan history not available

Unable to load historical scan data