Security Scan Report: www.bookitplease.com

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Submitted: Completed: publiccompleted
This website contacted 31 IPs in 2 countries across 17 domains to perform 148 HTTP transactions. The main domain is bookitplease.com and was registered 1 year 8 months ago.

Submitted URL: https://www.bookitplease.com/sports/stade-rennais-f-c-vs-olympiacos-f-c-402544

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

Ticket-listing page on its own self-branded domain with no forms, no impersonation and no threat-intel, hunting rule or phishing IDS hits; reputation is thin but no concrete malicious signal was found.

Safety Factors (5)
Self-branding matches the registered domain; no impersonation of a different brand
No forms at all on the page — no login, password, or card capture present
Standard commercial cookie-consent stack (Cookiebot) and common analytics/CDN hosts
Content reads like a real secondary-market ticketing listing with venue, date and seat categories
Physical address indicator present in legitimacy signals
Domain age information unavailable

Details

Page Title

Stade Rennais F.C vs Olympiacos F.C. in Rennes | Book Tickets Online at BookItPlease

Scan Type

public

Domain Name Analysis

The domain 'www.bookitplease.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. Count 12 characters in 'bookitplease' with 6 vowels and six consonants. It segments into 3 words: book, it, please. Expect 4 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.bookitplease.com/sports/stade-rennais-f-c-vs-olympiacos-f-c-402544

Page Load Overview

4.27s
Total Load Time
4.3 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:18,314 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media33% confidence
Type: spa
Method: ml+structural+ocr_tiebreaker

All Detected Categories

entertainment media
33%
finance banking
25%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2818.245.86.129Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
418.245.86.12Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
4184.24.77.165Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
4104.18.10.207Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4104.18.40.68Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
423.50.131.141Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
423.45.103.56Akamai · CDNFrankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
4184.24.77.161Akamai · CDNFrankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
4142.251.20.97Google · CDNUnited States
AS15169Google LLC
4142.251.157.119Google · CDNUnited States
AS15169Google LLC
14831--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C674F875B495F11F4B6BCAF412B6EF2B1CD144CB8E811188C489CB381AD6D2A6DFD1A3

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:hI8c09vBOqvNJ7Wh22DyTprsDpe0sA6DPA9N46HJ9gAyM:hIvEOqX7WhjYpape0sfw5HJN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:340650:AgASJQMMoBCDoyAKBoIxFOIQobUIE4AEEwFowycQQiAEz0xWCSIRhEKAi6AHkFypAA8IRgwcBwQAJAgGEEIxAlchFmQERyBI

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:7e9fdbc9cbc9f99f
Perceptual Hash:b8c5c67111c715f5
Difference Hash:d43636931b139326
Wavelet Hash:789f81c18989f91f
Color Hash:#add279

Other Hashes

Crop Resistant:d43636931b139326

Scan History

Scan history not available

Unable to load historical scan data