Summary
This website contacted 22 IPs in 3 countries across 9 domains to perform 15 HTTP transactions. The main domain is lawrencecountyal.gov and was registered NaN years ago.
Submitted URL: https://lawrencecountyal.gov/
Effective URL: https://lawrencecountyal.gov/landerRedirected
AI Security Verdict
Safe Website
Confidence: 96%
Legitimate county website with no detected security concerns.
Safety Factors
Details
Page Title
N/A
Scan Type
public
Language
English
Category
government
(95%)Domain Information
Within the United States government-restricted top-level domain (.gov), 'lawrencecountyal.gov' is registered while skipping any subdomain. The core label 'lawrencecountyal' covers 16 characters with six vowels and 10 consonants. Breaking it apart gives three words: lawrence, county, al. Average segment length settles at six characters. The linguistic tilt is Catalan for 'lawrence'. Secondary signals appear in Spanish and Basque.
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 |
|---|---|---|---|
| 15 | 3.108.74.203 | Mumbai, Maharashtra, India | AS16509AMAZON-02 |
| 0 | 15.197.148.33 | United States | AS16509AMAZON-02 |
| 0 | 142.250.181.228 | United States | AS15169GOOGLE |
| 0 | 23.38.98.114 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 0 | 3.33.130.190 | United States | AS16509AMAZON-02 |
| 0 | 23.38.98.78 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 0 | 52.222.236.94 | United States | AS16509AMAZON-02 |
| 0 | 35.71.186.62 | United States | AS16509AMAZON-02 |
| 0 | 142.250.184.226 | United States | AS15169GOOGLE |
| 0 | 13.32.121.112 | New York, New York, United States | AS16509AMAZON-02 |
| 15 | 22 | - | - |
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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