Summary
This website contacted 8 IPs in 2 countries across 17 domains to perform 2 HTTP transactions. The main domain is newyorkencounter.org and was registered 11 years ago.
Submitted URL: https://www.newyorkencounter.org/ross-douthat
AI Security Verdict
Safe Website
Confidence: 95%
The site shows its own brand, has no credential collection, and lacks any malicious indicators; it appears legitimate.
Safety Factors
Details
Page Title
Ross Douthat — New York Encounter
Scan Type
public
Language
English
Category
news media journalism
(44%)Domain Information
You're looking at domain 'www.newyorkencounter.org' on the non-profit oriented generic top-level domain (.org); it also runs on subdomain 'www'. Its registrable label 'newyorkencounter' stretches across 16 characters containing 6 vowels alongside 10 consonants. Tokenizing the label suggests three words: new, york, encounter. Median word length comes out to 4 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 |
|---|---|---|---|
| 24 | 184.24.77.165 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 18 | 69.46.46.52 | Seattle, Washington, United States | AS400940Railway |
| 18 | 142.250.154.97Google · CDN | United States | AS15169Google LLC |
| 18 | 104.18.22.83Cloudflare · WAF | United States | AS13335Cloudflare, Inc. |
| 18 | 146.75.120.238Fastly · CDN | Frankfurt am Main, Hesse, Germany | AS54113Fastly, Inc. |
| 18 | 34.160.236.44Google · CDN | Kansas City, Missouri, United States | AS396982Google LLC |
| 18 | 23.45.98.27 | Frankfurt am Main, Hesse, Germany | AS16625Akamai Technologies, Inc. |
| 18 | 198.49.23.144 | United States | AS53831Squarespace, Inc. |
| 150 | 8 | - | - |
Page Statistics
Detected Technologies12
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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