Summary
This website contacted 55 IPs in 1 country across 14 domains to perform 175 HTTP transactions. The main domain is wewillnomad.com and was registered NaN years ago.
Submitted URL: https://www.wewillnomad.com/destination/bangladesh
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate travel guide site with no security concerns.
Safety Factors
Details
Page Title
Bangladesh Travel Guide 2025: What to See & Do, Costs, Hidden Gems & Ways to Save
Scan Type
public
Language
English
Category
corporate
(50%)Domain Information
The domain 'www.wewillnomad.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. The registrable portion 'wewillnomad' spans 11 characters containing four vowels alongside 7 consonants. Segmentation suggests 3 words: we, will, nomad. Median word length comes out to 4 characters. The linguistic tilt is Chinese (Pinyin) for 'we'. You may catch it in Dutch and English as well. Net impression: Chinese (Pinyin) phrase.
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 |
|---|---|---|---|
| 13 | 34.149.87.45 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 3 | 151.101.2.217 | San Francisco, California, United States | AS54113FASTLY |
| 3 | 34.149.206.255 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 3 | 18.245.31.107 | United States | AS16509AMAZON-02 |
| 3 | 18.245.31.102 | United States | AS16509AMAZON-02 |
| 3 | 151.101.130.217 | San Francisco, California, United States | AS54113FASTLY |
| 3 | 52.1.167.16 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 3 | 18.245.31.87 | United States | AS16509AMAZON-02 |
| 3 | 34.224.13.115 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 3 | 3.167.227.129 | United States | AS16509AMAZON-02 |
| 175 | 55 | - | - |
Detected Technologies7
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
Scan history not available
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