Security Scan Report: www.thebookseller.com

Redirected to: https://www.thebookseller.com/login?Login=In&ReturnDoc=https%3A%2F%2Fwww.thebookseller.com%2Fbooks%2Fbooks-on-booktok-adaptations-and-new-books-ryan-gosling-saara-el-arifi-and-josh-silver-set-to-triumph

Submitted: Dec 19, 2025, 11:22:04 PMCompleted: Dec 19, 2025, 11:22:26 PMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 4 domains to perform 57 HTTP transactions. The main domain is thebookseller.com and was registered NaN years ago.

Submitted URL: https://www.thebookseller.com/books/books-on-booktok-adaptations-and-new-books-ryan-gosling-saara-el-arifi-and-josh-silver-set-to-triumph

Effective URL: https://www.thebookseller.com/login?Login=In&ReturnDoc=https%3A%2F%2Fwww.thebookseller.com%2Fbooks%2Fbooks-on-booktok-adaptations-and-new-books-ryan-gosling-saara-el-arifi-and-josh-silver-set-to-triumphRedirected

The Cisco Umbrella rank of the primary domain is #294,190 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

Legitimate login page for The Bookseller; no significant security concerns detected.

Safety Factors
Established domain with long registration history
Official brand domain matches page title
No external malicious links or payment fields
Domain age information unavailable

Details

Page Title

The Bookseller - Login

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(44%)

Domain Information

The domain name 'www.thebookseller.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. Count 13 characters in 'thebookseller' split between five vowels and eight consonants. Segmentation suggests two words: the, bookseller. The median word length lands at 6.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.thebookseller.com/books/books-on-booktok-adaptations-and-new-books-ryan-gosling-saara-el-arifi-and-josh-silver-set-to-triumph

Page Load Overview

2.30s
Total Load Time
57
HTTP Requests
4
Domains
654 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:En
Text Length:2,709 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content44% confidence
Type: webapp
Method: ml+structural

All Detected Categories

adult content
44%
news media journalism
38%
social_media
35%
forum
35%

Detected Features

Login Form
Search
Comments
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
852.30.64.142Dublin, Leinster, Ireland
AS16509AMAZON-02
713.33.232.40New York, New York, United States
AS16509AMAZON-02
713.33.232.35New York, New York, United States
AS16509AMAZON-02
713.33.232.170New York, New York, United States
AS16509AMAZON-02
7216.58.209.170United States
AS15169GOOGLE
713.33.232.230New York, New York, United States
AS16509AMAZON-02
754.73.19.251Dublin, Leinster, Ireland
AS16509AMAZON-02
7104.21.37.193United States
AS13335CLOUDFLARENET
578--

Detected Technologies5

JQueryv3.7.1
100%
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T113531161229758332BF761D0B067672E60E6D7DDD6676C8052F9027243CEEFFA9408E8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:P8otPDoPDy+OXfQ+XLShS7EXyXZRot01D5+4W4Lgz/LpN:P8otbobPSQaA+Jw01D5+4W4Lgz/LpN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:66559:EDUADUIKNDEERKAhgYBAC1BGEHCaBAwQGA5iRIJAgcGmAFQ0AgcoAIwoIgc6LlRYsBoTCK4AIjAiAR9wFGhiGIogRAMRw3ag

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:00ffffffdfffd7ff
Perceptual Hash:bc4e4e6c4b6b0e2c
Difference Hash:732c201a36363632
Wavelet Hash:009e9e8f838f839f
Color Hash:#6b53ac

Scan History

Scan history not available

Unable to load historical scan data