Summary
This website contacted 88 IPs in 4 countries across 24 domains to perform 110 HTTP transactions. The main domain is thewallsthotel.com and was registered NaN years ago.
Submitted URL: https://www.thewallsthotel.com/
AI Security Verdict
Safe Website
Confidence: 92%
Site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
The Wall Street Hotel – Luxury Hotel in Financial District NYC
Scan Type
public
Language
English
Category
education learning
(42%)Domain Information
The domain 'www.thewallsthotel.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. The second-level label 'thewallsthotel' is 14 characters long holding four vowels versus 10 consonants. Segmentation suggests four words: the, wall, st, hotel. Median word length is 3.5 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 | 195.181.170.19 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 14 | 16.182.70.136 | Ashburn, Virginia, United States | AS16509AMAZON-02 |
| 13 | 104.21.89.205 | United States | AS13335CLOUDFLARENET |
| 10 | 13.68.180.169 | Washington, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 8 | 18.245.46.63 | United States | AS16509AMAZON-02 |
| 6 | 142.250.185.104 | United States | AS15169GOOGLE |
| 5 | 52.26.77.68 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 4 | 79.127.216.203 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 3 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 3 | 35.186.195.233 | United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 110 | 88 | - | - |
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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