Summary
This website contacted 13 IPs in 2 countries across 5 domains to perform 50 HTTP transactions. The main domain is link.apple.com.
Submitted URL: https://link.apple.com/account/toggle-renewal-receipts/95d6ac03-b71c-4f34-a83c-3c0668a03c48?storefront=SWE
The Cisco Umbrella rank of the primary domain is #17 of the top 1 million websitesTop 100 Site
AI Security Verdict
Safe Website
Confidence: 96%
The page is a legitimate Apple confirmation with no security concerns.
Safety Factors
Details
Page Title
N/A
Scan Type
public
Language
English
Category
technology software
(36%)Domain Information
The domain 'link.apple.com' uses the commercial generic top-level domain (.com) with subdomain 'link'. The registrable portion 'apple' spans 5 characters holding 2 vowels versus three consonants. Breaking it apart gives one word: apple. Median word length comes out to five characters. 'apple' most often appears in 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 |
|---|---|---|---|
| 3 | 17.253.57.196 | Frankfurt am Main, Hesse, Germany | AS6185APPLE-AUSTIN |
| 3 | 17.157.96.170 | United States | AS714APPLE-ENGINEERING |
| 3 | 23.35.236.212 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 3 | 17.156.128.11 | United States | AS714APPLE-ENGINEERING |
| 3 | 17.253.57.206 | Frankfurt am Main, Hesse, Germany | AS6185APPLE-AUSTIN |
| 3 | 17.253.57.204 | Frankfurt am Main, Hesse, Germany | AS6185APPLE-AUSTIN |
| 3 | 2a02:26f0:3500:59b::1aca | Germany | Unknown |
| 3 | 2a01:b740:a10:f100::210 | Germany | Unknown |
| 3 | 2a01:b740:a10:f100::202 | Germany | Unknown |
| 3 | 2a01:b740:a10:f100::208 | Germany | Unknown |
| 50 | 13 | - | - |
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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