Summary
This website contacted 18 IPs in 1 country across 4 domains to perform 59 HTTP transactions. The main domain is snapshot.apple.com and was registered NaN years ago.
Submitted URL: https://snapshot.apple.com/us/person/6621222790
The Cisco Umbrella rank of the primary domain is #17 of the top 1 million websitesTop 100 Site
AI Security Verdict
Safe Website
Confidence: 98%
The page is a legitimate Apple site with no security concerns.
Safety Factors
Details
Page Title
Carole Bouquet - Apple
Scan Type
public
Language
English
Category
technology software
(82%)Domain Information
The domain 'snapshot.apple.com' uses the commercial generic top-level domain (.com) with subdomain 'snapshot'. The second-level label 'apple' is 5 characters long with two vowels and 3 consonants. Splitting it apart reveals 1 word: apple. Average segment length settles at five characters. Most frequently, 'apple' shows up in Tagalog. You will also see it in English and Sinhala contexts. Taken together, it feels Tagalog with single-word simplicity.
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 |
|---|---|---|---|
| 8 | 2.19.198.192 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 23.192.152.196 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 3 | 23.32.238.19 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 3 | 23.192.153.160 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 3 | 146.75.123.6 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 3 | 2a02:26f0:3500:794::441d | Germany | Unknown |
| 3 | 2a04:4e42:8e::774 | Germany | Unknown |
| 3 | 2a02:26f0:3500:586::1aca | Germany | Unknown |
| 3 | 2a02:26f0:3500:78a::441d | Germany | Unknown |
| 3 | 2a02:26f0:3500:798::441d | Germany | Unknown |
| 59 | 18 | - | - |
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
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