Summary
This website contacted 8 IPs in 2 countries across 3 domains to perform 123 HTTP transactions. The main domain is ads.apple.com and was registered NaN years ago.
Submitted URL: https://ads.apple.com/app-store
The Cisco Umbrella rank of the primary domain is #13 of the top 1 million websitesTop 100 Site
AI Security Verdict
Safe Website
Confidence: 98%
The site is a legitimate Apple domain with no security concerns.
Safety Factors
Details
Page Title
Ads on the App Store - Apple Ads
Scan Type
public
Language
English
Category
technology software
(58%)Domain Information
The domain name 'ads.apple.com' uses the commercial generic top-level domain (.com); it also runs on subdomain 'ads'. The core label 'apple' covers 5 characters holding 2 vowels versus 3 consonants. Tokenizing the label suggests one word: apple. 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 |
|---|---|---|---|
| 15 | 23.2.13.96 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 15 | 23.2.13.65 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 15 | 17.8.136.5 | United States | AS714APPLE-ENGINEERING |
| 15 | 23.58.109.71 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 15 | 2a02:26f0:1700:293::1aca | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 15 | 2a02:26f0:1700:285::1aca | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 15 | 2a02:26f0:3500:5::17d8:4d34 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 15 | 2a02:26f0:3500:5::17d8:4d36 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 123 | 8 | - | - |
Detected Technologies3
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
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