Summary
This website contacted 36 IPs in 4 countries across 12 domains to perform 225 HTTP transactions. The main domain is books.apple.com and was registered NaN years ago.
Submitted URL: https://www.thehistoryreader.com/cultural-history/allen-iverson-pound-for-pound/
Effective URL: https://books.apple.com/us/book/entertaining-race/id1552717317Redirected
AI Security Verdict
Safe Website
Confidence: 95%
The page redirects to a legitimate Apple Books page with no malicious activity.
Safety Factors
Details
Page Title
Entertaining Race by Michael Eric Dyson on Apple Books
Scan Type
public
Language
English
Category
technology software
(86%)Domain Information
Within the commercial generic top-level domain (.com), 'www.thehistoryreader.com' is registered; it also runs on subdomain 'www'. The registrable portion 'thehistoryreader' spans 16 characters with six vowels and 10 consonants. Word splitting yields three words: the, history, reader. The median word length lands at 6 characters. 'the' most often appears in English. Usage also turns up in Chinese (Pinyin) and Chinese (Zhuyin) contexts.
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 | 69.192.161.201 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 6 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 6 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 6 | 142.250.186.104 | United States | AS15169GOOGLE |
| 6 | 141.193.213.11 | United States | AS209242Cloudflare London, LLC |
| 6 | 146.75.91.6 | Lisbon, Lisbon, Portugal | AS54113FASTLY |
| 6 | 104.18.87.42 | United States | AS13335CLOUDFLARENET |
| 6 | 172.64.155.119 | United States | AS13335CLOUDFLARENET |
| 6 | 141.193.213.10 | United States | AS209242Cloudflare London, LLC |
| 6 | 23.192.152.196 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 225 | 36 | - | - |
Detected Technologies7
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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