Summary
This website contacted 5 IPs in 2 countries across 5 domains to perform 2 HTTP transactions. The main domain is fr.hotels.com and was registered NaN years ago.
Submitted URL: https://fr.hotels.com/go/usa/us-best-things-to-do-montauk
The Cisco Umbrella rank of the primary domain is #22,050 of the top 1 million websites
AI Security Verdict
Not Assessed
This page returned an error rather than content, so there was nothing to assess. This is not a statement that the site is safe.
Error or status pages carry no content to analyse. The site may still be active on another path.
Details
Bot Protection Detected
This website is protected by datadome bot protection. Our scanner was challenged or blocked during access.
Page Title
Robot ou pas robot ?
Scan Type
public
Language
French
Category
documentation technical
(49%)Domain Information
Within the commercial generic top-level domain (.com), 'fr.hotels.com' is registered and includes subdomain 'fr'. The registrable portion 'hotels' spans 6 characters split between 2 vowels and four consonants. Tokenizing the label suggests one word: hotels. Median word length comes out to six characters. 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 |
|---|---|---|---|
| 8 | 92.123.104.30 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 7 | 2.16.204.153 | Hamburg, Free and Hanseatic City of Hamburg, Germany | AS20940Akamai International B.V. |
| 7 | 34.149.250.58Google · CDN | Kansas City, Missouri, United States | AS396982Google LLC |
| 7 | 2.16.204.143 | Hamburg, Free and Hanseatic City of Hamburg, Germany | AS20940Akamai International B.V. |
| 7 | 92.123.104.56 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 36 | 5 | - | - |
Page Statistics
Detected Technologies7
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