Summary
This website contacted 9 IPs in 2 countries across 5 domains to perform 77 HTTP transactions. The main domain is lamarcountyms.gov and was registered NaN years ago.
Submitted URL: https://lamarcountyms.gov/ms/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate government site with no security concerns.
Safety Factors
Details
Page Title
Lamar County | Mississippi
Scan Type
public
Language
English
Category
government
(95%)Domain Information
You're looking at domain 'lamarcountyms.gov' on the United States government-restricted top-level domain (.gov) with no subdomain. Its registrable label 'lamarcountyms' stretches across 13 characters split between four vowels and nine consonants. Breaking it apart gives three words: lamar, county, ms. Median word length is five characters. 'lamar' most often appears in Chinese (Pinyin). You will also see it in Swedish and Dutch contexts. Taken together, it feels Chinese (Pinyin).
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 |
|---|---|---|---|
| 13 | 142.250.185.195 | United States | AS15169GOOGLE |
| 8 | 205.186.138.222 | Ashburn, Virginia, United States | AS398101GO-DADDY-COM-LLC |
| 8 | 142.250.186.170 | United States | AS15169GOOGLE |
| 8 | 142.250.181.227 | United States | AS15169GOOGLE |
| 8 | 142.250.185.164 | United States | AS15169GOOGLE |
| 8 | 2a00:1450:4001:80b::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 8 | 2a00:1450:4001:813::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 8 | 2a00:1450:4001:828::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 8 | 2a00:1450:4001:811::2004 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 77 | 9 | - | - |
Detected Technologies6
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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