Summary
This website contacted 35 IPs in 2 countries across 15 domains to perform 83 HTTP transactions. The main domain is bronxdems.org and was registered NaN years ago.
Submitted URL: https://www.bronxdems.org/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Bronx Dems
Scan Type
public
Language
English
Category
corporate
(70%)Domain Information
Domain 'www.bronxdems.org' uses the non-profit oriented generic top-level domain (.org) and includes subdomain 'www'. The second-level label 'bronxdems' is 9 characters long containing 2 vowels alongside 7 consonants. Tokenizing the label suggests 3 words: bronx, dem, s. Median word length comes out to three 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 |
|---|---|---|---|
| 18 | 146.75.120.237 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 15 | 104.17.25.14 | United States | AS13335CLOUDFLARENET |
| 14 | 146.75.120.238 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 12 | 34.160.236.44 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 8 | 23.53.42.136 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 8 | 23.32.238.192 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 6 | 198.49.23.145 | United States | AS53831SQUARESPACE |
| 4 | 142.250.186.163 | United States | AS15169GOOGLE |
| 2 | 23.32.238.210 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 104.17.24.14 | United States | AS13335CLOUDFLARENET |
| 83 | 35 | - | - |
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
Scan History
Scan history not available
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