Summary
API
Submitted URL: https://my.trip.com/travel-guide/destination/adamuz-133966/?locale=en_my
The Cisco Umbrella rank of the primary domain is #17,208 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 96%
Legitimate travel guide page with no security concerns.
Safety Factors (5)
Details
Page Title
Adamuz 2026: Top Things to Do & Places to Visit | Trip.com | January 2026
Scan Type
public
Domain Name Analysis
The domain 'my.trip.com' uses the commercial generic top-level domain (.com), featuring subdomain 'my'. The core label 'trip' covers 4 characters with 1 vowel and three consonants. Breaking it apart gives one word: trip. Median word length is four 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 |
|---|---|---|---|
| 9 | 92.123.104.53 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 9 | 104.126.37.138 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 9 | 142.250.185.67 | United States | AS15169GOOGLE |
| 9 | 146.75.120.157 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 9 | 23.36.162.201 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 9 | 104.126.37.171 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 9 | 92.123.104.41 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 9 | 184.24.77.69 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 9 | 216.239.32.36 | United States | AS15169GOOGLE |
| 9 | 2.16.106.28 | Amsterdam, North Holland, Netherlands | AS20940Akamai International B.V. |
| 225 | 25 | - | - |
Detected Technologies9
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
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