Summary
This website contacted 11 IPs in 2 countries across 4 domains to perform 46 HTTP transactions. The main domain is scottcoil.gov and was registered NaN years ago.
Submitted URL: https://scottcoil.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate county government website with no security concerns.
Safety Factors
Details
Page Title
COUNTY OF SCOTT - Welcome to Scott County, IL!
Scan Type
public
Language
English
Category
government
(48%)Domain Information
Within the United States government-restricted top-level domain (.gov), 'scottcoil.gov' is registered with no subdomain. The second-level label 'scottcoil' is 9 characters long holding 3 vowels versus six consonants. Splitting it apart reveals two words: scott, coil. The median word length lands at 4.5 characters. Most frequently, 'scott' shows up in German. You may catch it in English and Vietnamese as well. Taken together, it feels German.
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 |
|---|---|---|---|
| 6 | 142.250.184.196 | United States | AS15169GOOGLE |
| 4 | 104.16.175.226 | United States | AS13335CLOUDFLARENET |
| 4 | 23.36.162.203 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 13.89.172.17 | Des Moines, Iowa, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 4 | 23.36.162.223 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 104.16.174.226 | United States | AS13335CLOUDFLARENET |
| 4 | 2a02:26f0:3500:18::1724:a29a | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 2a02:26f0:3500:18::1724:a28a | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 2606:4700::6810:afe2 | United States | AS13335CLOUDFLARENET |
| 4 | 2a00:1450:4001:80b::2004 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 46 | 11 | - | - |
Detected Technologies5
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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