Summary
This website contacted 25 IPs in 3 countries across 22 domains to perform 220 HTTP transactions. The main domain is deerfield-beach.com and was registered NaN years ago.
Submitted URL: https://www.deerfield-beach.com/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Deerfield Beach, FL - Official Website | Official Website
Scan Type
public
Language
English
Category
government public service
(70%)Domain Information
You're looking at domain 'www.deerfield-beach.com' on the commercial generic top-level domain (.com); it also runs on subdomain 'www'. The registrable portion 'deerfield-beach' spans 15 characters holding 6 vowels versus eight consonants, along with one hyphen. Segmentation suggests 2 words: deerfield, beach. The median word length lands at seven 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 |
|---|---|---|---|
| 28 | 162.247.243.29 | United States | AS54113FASTLY |
| 8 | 13.107.213.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 8 | 104.18.28.155 | United States | AS13335CLOUDFLARENET |
| 8 | 162.247.243.39 | United States | AS54113FASTLY |
| 8 | 104.26.8.123 | United States | AS13335CLOUDFLARENET |
| 8 | 157.240.0.63 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 8 | 13.107.246.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 8 | 104.18.29.155 | United States | AS13335CLOUDFLARENET |
| 8 | 20.250.198.32 | Zurich, Zurich, Switzerland | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 8 | 216.58.206.42 | United States | AS15169GOOGLE |
| 220 | 25 | - | - |
Detected Technologies3
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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