Summary
API
Submitted URL: https://www.bookitplease.com/sports/stade-rennais-f-c-vs-olympiacos-f-c-402544
AI Security Verdict
Low Risk
Confidence: 70%
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)
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

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 |
|---|---|---|---|
| 28 | 18.245.86.129Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 4 | 18.245.86.12Cloudfront · CDN | United States | AS16509Amazon.com, Inc. |
| 4 | 184.24.77.165Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 104.18.10.207Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 4 | 104.18.40.68Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 4 | 23.50.131.141Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 23.45.103.56Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 4 | 184.24.77.161Akamai · CDN | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 142.251.20.97Google · CDN | United States | AS15169Google LLC |
| 4 | 142.251.157.119Google · CDN | United States | AS15169Google LLC |
| 148 | 31 | - | - |
Detected Technologies13
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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
Scan history not available
Unable to load historical scan data