Summary
This website contacted 26 IPs in 2 countries across 8 domains to perform 110 HTTP transactions. The main domain is ocalafl.gov and was registered NaN years ago.
Submitted URL: https://www.ocalafl.gov/
AI Security Verdict
Safe Website
Confidence: 96%
Legitimate city government website with no security concerns.
Safety Factors
Details
Page Title
Access Denied
Scan Type
public
Language
English
Category
government public service
(84%)Domain Information
The domain name 'www.ocalafl.gov' uses the United States government-restricted top-level domain (.gov); it also runs on subdomain 'www'. Its registrable label 'ocalafl' stretches across 7 characters with 3 vowels and 4 consonants. It segments into 2 words: ocala, fl. Median word length is 3.5 characters. 'fl' most often appears in English. You will also see it in Icelandic and Malay contexts. Taken together, it feels English.
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 |
|---|---|---|---|
| 87 | 2.20.142.50 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 11 | 18.198.146.197 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 6 | 172.217.18.3 | United States | AS15169GOOGLE |
| 4 | 142.251.140.168 | United States | AS15169GOOGLE |
| 4 | 142.250.186.131 | United States | AS15169GOOGLE |
| 4 | 35.156.155.172 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 4 | 216.239.32.36 | United States | AS15169GOOGLE |
| 4 | 2.20.143.56 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 2a02:26f0:3500:586::11a6 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 2a06:98c1:3121::3 | United States | AS13335CLOUDFLARENET |
| 110 | 26 | - | - |
Detected Technologies8
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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