Summary
This website contacted 15 IPs in 2 countries across 7 domains to perform 130 HTTP transactions. The main domain is dunklincounty.gov and was registered NaN years ago.
Submitted URL: https://dunklincounty.gov/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Dunklin County
Scan Type
public
Language
English
Category
government public service
(82%)Domain Information
Within the United States government-restricted top-level domain (.gov), 'dunklincounty.gov' is registered and has no subdomain. The registrable portion 'dunklincounty' spans 13 characters holding 4 vowels versus 9 consonants. Splitting it apart reveals 3 words: dunk, lin, county. Median word length is four characters. Most frequently, 'dunk' shows up in English. You will also see it in Chinese (Pinyin) and Danish contexts. Overall, 'dunklincounty.gov' reads as 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 |
|---|---|---|---|
| 18 | 142.250.186.163 | United States | AS15169GOOGLE |
| 8 | 23.207.210.148 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 8 | 104.21.27.152 | United States | AS13335CLOUDFLARENET |
| 8 | 160.153.0.92 | United States | AS209242Cloudflare London, LLC |
| 8 | 23.212.210.248 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 8 | 23.207.210.143 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 8 | 142.250.186.170 | United States | AS15169GOOGLE |
| 8 | 2a00:1450:4001:82f::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 8 | 2606:4700:3037::ac43:8ef5 | United States | AS13335CLOUDFLARENET |
| 8 | 2a02:26f0:3500:2aa::228b | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 130 | 15 | - | - |
Detected Technologies14
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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