Summary
This website contacted 29 IPs in 1 country across 7 domains to perform 184 HTTP transactions. The main domain is oglethorpecountyga.gov and was registered NaN years ago.
Submitted URL: https://www.oglethorpecountyga.gov/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Oglethorpe County, Georgia
Scan Type
public
Language
English
Category
government public service
(77%)Domain Information
The domain name 'www.oglethorpecountyga.gov' uses the United States government-restricted top-level domain (.gov); it also runs on subdomain 'www'. The registrable portion 'oglethorpecountyga' spans 18 characters with 7 vowels and 11 consonants. Tokenizing the label suggests 4 words: ogle, thorpe, county, ga. Average segment length settles at five characters. The linguistic tilt is Finnish for 'ole'. Usage also turns up in Croatian and Slovenian contexts. Taken together, it feels Finnish.
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 |
|---|---|---|---|
| 16 | 34.149.87.45 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 6 | 34.236.210.139 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 6 | 34.149.206.255 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 6 | 99.86.4.105 | United States | AS16509AMAZON-02 |
| 6 | 151.101.66.217 | San Francisco, California, United States | AS54113FASTLY |
| 6 | 34.201.196.32 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 6 | 151.101.130.217 | San Francisco, California, United States | AS54113FASTLY |
| 6 | 54.221.236.172 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 6 | 99.86.4.79 | United States | AS16509AMAZON-02 |
| 6 | 99.86.4.90 | United States | AS16509AMAZON-02 |
| 184 | 29 | - | - |
Detected Technologies7
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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