Summary
This website contacted 23 IPs in 2 countries across 4 domains to perform 60 HTTP transactions. The main domain is ca.hotels.com and was registered NaN years ago.
Submitted URL: https://ca.hotels.com/go/usa/utah
The Cisco Umbrella rank of the primary domain is #22,050 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The site is a legitimate Hotels.com page with no security concerns.
Safety Factors
Details
Page Title
Bot or Not?
Scan Type
public
Language
English
Category
unknown
(0%)Domain Information
The domain 'ca.hotels.com' uses the commercial generic top-level domain (.com) with subdomain 'ca'. Count 6 characters in 'hotels' holding two vowels versus 4 consonants. Segmentation suggests one word: hotels. Expect six 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 |
|---|---|---|---|
| 21 | 92.123.104.22 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 17 | 69.192.162.220 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 17 | 65.8.131.28 | United States | AS16509AMAZON-02 |
| 3 | 65.8.131.38 | United States | AS16509AMAZON-02 |
| 2 | 92.123.104.32 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 92.123.104.5 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 65.8.131.8 | United States | AS16509AMAZON-02 |
| 2 | 92.123.104.58 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 65.8.131.100 | United States | AS16509AMAZON-02 |
| 2 | 2600:9000:208a:f000:7:d69d:3600:93a1 | United States | AS16509AMAZON-02 |
| 60 | 23 | - | - |
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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