Summary
This website contacted 2 IPs in 1 country across 2 domains to perform 2 HTTP transactions. The main domain is chicagonavymemorial.org and was registered NaN years ago.
Submitted URL: https://chicagonavymemorial.org/commemorative-us-sea-services-monument/armed-forces
AI Security Verdict
Safe Website
Confidence: 95%
The site shows no malicious indicators, matches its own brand, and is well‑established; it is legitimate.
Safety Factors
Details
Page Title
An overview of the U.S. Armed Forces | Chicago Navy Memorial Foundation
Scan Type
public
Language
English
Category
corporate
(50%)Domain Information
The domain name 'chicagonavymemorial.org' uses the non-profit oriented generic top-level domain (.org) without a subdomain. The registrable portion 'chicagonavymemorial' spans 19 characters holding eight vowels versus 11 consonants. Tokenizing the label suggests 3 words: chicago, navy, memorial. Median word length comes out to 7 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 |
|---|---|---|---|
| 11 | 108.59.4.161 | United States | AS30633Leaseweb USA, Inc. |
| 10 | 142.251.110.97 | United States | AS15169Google LLC |
| 21 | 2 | - | - |
Detected Technologies7
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
Unable to load historical scan data