Summary
This website contacted 18 IPs in 2 countries across 8 domains to perform 130 HTTP transactions. The main domain is florence-nj.gov and was registered NaN years ago.
Submitted URL: http://www.florence-nj.gov/
Effective URL: https://www.florence-nj.gov/Redirected
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate government website with no security concerns.
Safety Factors
Details
Page Title
The Township of Florence, NJ - Township of Florence
Scan Type
public
Language
English
Category
government public service
(69%)Domain Information
Domain 'www.florence-nj.gov' uses the United States government-restricted top-level domain (.gov) and includes subdomain 'www'. Count 11 characters in 'florence-nj' holding 3 vowels versus seven consonants, along with 1 hyphen. Segmentation suggests two words: florence, nj. Expect five characters per word on average. 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 | 23.207.210.143 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 7 | 172.66.157.232 | United States | AS13335CLOUDFLARENET |
| 7 | 104.16.175.226 | United States | AS13335CLOUDFLARENET |
| 7 | 192.124.249.153 | Menifee, California, United States | AS30148SUCURI-SEC |
| 7 | 104.16.174.226 | United States | AS13335CLOUDFLARENET |
| 7 | 23.207.210.148 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 7 | 23.37.42.16 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 7 | 142.250.186.131 | United States | AS15169GOOGLE |
| 7 | 104.20.34.94 | United States | AS13335CLOUDFLARENET |
| 7 | 142.251.140.170 | United States | AS15169GOOGLE |
| 130 | 18 | - | - |
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
Scan history not available
Unable to load historical scan data