Summary
This website contacted 31 IPs in 3 countries across 10 domains to perform 37 HTTP transactions. The main domain is dor.georgia.gov and was registered NaN years ago.
Submitted URL: https://dor.georgia.gov/motor-vehicles/vehicle-insurance-requirements
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate and poses no security risk.
Safety Factors
Details
Page Title
Vehicle Insurance Requirements | Department of Revenue
Scan Type
public
Language
English
Category
government
(48%)Domain Information
The domain 'dor.georgia.gov' uses the United States government-restricted top-level domain (.gov) and includes subdomain 'dor'. Count 7 characters in 'georgia' split between 4 vowels and 3 consonants. Breaking it apart gives one word: georgia. Median word length is 7 characters. 'georgia' most often appears in Sinhala. Usage also turns up in Danish and German contexts. Overall, 'dor.georgia.gov' reads as Sinhala with single-word simplicity.
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 |
|---|---|---|---|
| 7 | 3.68.255.100 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 1 | 104.18.75.48 | United States | AS13335CLOUDFLARENET |
| 1 | 18.197.64.247 | Frankfurt am Main, Hesse, Germany | AS16509AMAZON-02 |
| 1 | 52.222.136.48 | United States | AS16509AMAZON-02 |
| 1 | 52.214.164.29 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 1 | 104.18.74.48 | United States | AS13335CLOUDFLARENET |
| 1 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 1 | 13.35.58.27 | United States | AS16509AMAZON-02 |
| 1 | 216.239.34.36 | United States | AS15169GOOGLE |
| 1 | 104.19.148.8 | United States | AS13335CLOUDFLARENET |
| 37 | 31 | - | - |
Detected Technologies10
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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