Summary
This website contacted 20 IPs in 1 country across 7 domains to perform 124 HTTP transactions. The main domain is smithsstational.gov and was registered NaN years ago.
Submitted URL: https://www.smithsstational.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate government website with no security concerns.
Safety Factors
Details
Page Title
City of Smiths Station - City of Smiths Station AL
Scan Type
public
Language
English
Category
government public service
(62%)Domain Information
The domain name 'www.smithsstational.gov' uses the United States government-restricted top-level domain (.gov) and includes subdomain 'www'. The registrable portion 'smithsstational' spans 15 characters split between 5 vowels and 10 consonants. Word splitting yields 3 words: smiths, station, al. Median word length is 6 characters. The linguistic tilt is Esperanto for 'staton'. Secondary signals appear in Catalan and Spanish.
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 |
|---|---|---|---|
| 10 | 216.239.34.36 | United States | AS15169GOOGLE |
| 6 | 142.250.185.74 | United States | AS15169GOOGLE |
| 6 | 34.160.81.203 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 6 | 142.250.185.99 | United States | AS15169GOOGLE |
| 6 | 35.227.194.51 | United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 6 | 205.209.105.102 | United States | AS19318IS-AS-1 |
| 6 | 35.244.153.44 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 6 | 216.239.32.36 | United States | AS15169GOOGLE |
| 6 | 142.250.185.136 | United States | AS15169GOOGLE |
| 6 | 34.149.120.3 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 124 | 20 | - | - |
Detected Technologies12
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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