Summary
This website contacted 119 IPs in 5 countries across 30 domains to perform 117 HTTP transactions. The main domain is rachelmeetschina.com and was registered NaN years ago.
Submitted URL: https://rachelmeetschina.com/2020/01/28/chongqing-travel-guide/
AI Security Verdict
Safe Website
Confidence: 95%
Site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Chongqing City Travel Guide: Where To Stay and Top Things To Do – Rachel Meets China
Scan Type
public
Language
English
Category
travel tourism
(70%)Domain Information
You're looking at domain 'rachelmeetschina.com' on the commercial generic top-level domain (.com) while skipping any subdomain. Its registrable label 'rachelmeetschina' stretches across 16 characters with six vowels and ten consonants. Word splitting yields three words: rachel, meets, china. Median word length comes out to 5 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 |
|---|---|---|---|
| 20 | 192.0.77.2 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 18 | 192.0.78.137 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 14 | 192.0.77.32 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 11 | 192.0.78.24 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 8 | 192.0.73.2 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 7 | 13.33.186.215 | New York, New York, United States | AS16509AMAZON-02 |
| 4 | 142.250.185.194 | United States | AS15169GOOGLE |
| 4 | 81.17.55.98 | Netherlands | AS60781LeaseWeb Netherlands B.V. |
| 3 | 108.138.3.93 | United States | AS16509AMAZON-02 |
| 3 | 131.153.232.243 | United States | AS19437SS-ASH |
| 117 | 119 | - | - |
Detected Technologies1
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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