Summary
This website contacted 102 IPs in 2 countries across 18 domains to perform 319 HTTP transactions. The main domain is bxcm.org and was registered NaN years ago.
Submitted URL: https://www.bxcm.org/
AI Security Verdict
High Risk
Confidence: 88%
Site likely a phishing page impersonating Chase; high risk despite established domain.
Risk Factors
Details
Page Title
Bronx Children's Museum | BxCM | 725 Exterior Street, 2nd Floor Bronx, New York 10451-2028
Scan Type
public
Language
English
Category
corporate
(50%)Domain Information
Domain 'www.bxcm.org' uses the non-profit oriented generic top-level domain (.org); it also runs on subdomain 'www'. The registrable portion 'bxcm' spans 4 characters holding 0 vowels versus four consonants. Word splitting yields two words: bxc, m. Average segment length settles at two 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 |
|---|---|---|---|
| 138 | 34.49.229.81 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 107 | 65.8.131.55 | United States | AS16509AMAZON-02 |
| 15 | 104.21.87.105 | United States | AS13335CLOUDFLARENET |
| 12 | 142.250.186.86 | United States | AS15169GOOGLE |
| 11 | 54.205.244.224 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 8 | 34.149.206.255 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 8 | 142.250.186.42 | United States | AS15169GOOGLE |
| 4 | 34.149.87.45 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 3 | 142.250.185.74 | United States | AS15169GOOGLE |
| 3 | 151.101.2.217 | San Francisco, California, United States | AS54113FASTLY |
| 319 | 102 | - | - |
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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