Summary
This website contacted 11 IPs in 2 countries across 4 domains to perform 21 HTTP transactions. The main domain is mcdonaldcountymo.gov and was registered NaN years ago.
Submitted URL: https://mcdonaldcountymo.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate government website with no apparent security threats.
Safety Factors
Details
Page Title
mcdonaldcountymo.gov
Scan Type
public
Language
LANG=
Category
government
(48%)Domain Information
You're looking at domain 'mcdonaldcountymo.gov' on the United States government-restricted top-level domain (.gov) with no subdomain. The second-level label 'mcdonaldcountymo' is 16 characters long containing 5 vowels alongside 11 consonants. Tokenizing the label suggests 3 words: mcdonald, county, mo. Average segment length settles at six characters. 'county' most often appears in Tagalog. You will also see it in Galician and English contexts.
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 |
|---|---|---|---|
| 1 | 104.20.27.90 | United States | AS13335CLOUDFLARENET |
| 1 | 206.246.0.91 | Anderson, Missouri, United States | AS27258KAMOPOWER |
| 1 | 172.217.18.10 | United States | AS15169GOOGLE |
| 1 | 142.250.185.67 | United States | AS15169GOOGLE |
| 1 | 2a00:1450:4001:810::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 1 | 2606:4700:10::6814:1b5a | United States | AS13335CLOUDFLARENET |
| 1 | 2606:4700:10::ac42:aedc | United States | AS13335CLOUDFLARENET |
| 1 | 142.250.185.131 | United States | AS15169GOOGLE |
| 1 | 2a00:1450:4001:810::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 1 | 172.66.174.220 | United States | AS13335CLOUDFLARENET |
| 21 | 11 | - | - |
Detected Technologies9
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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