Summary
This website contacted 29 IPs in 1 country across 7 domains to perform 122 HTTP transactions. The main domain is amalgautah.gov and was registered NaN years ago.
Submitted URL: https://www.amalgautah.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate municipal website with no security concerns.
Safety Factors
Details
Page Title
Home | Amalga Town
Scan Type
public
Language
English
Category
government public service
(55%)Domain Information
You're looking at domain 'www.amalgautah.gov' on the United States government-restricted top-level domain (.gov); it also runs on subdomain 'www'. Count 10 characters in 'amalgautah' split between 5 vowels and five consonants. Word splitting yields 3 words: am, alga, utah. Median word length comes out to 4 characters. No strong language cues emerged from the frequency lists.
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 | 3.91.142.98 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 4 | 65.8.131.55 | United States | AS16509AMAZON-02 |
| 4 | 34.149.87.45 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 4 | 151.101.66.217 | San Francisco, California, United States | AS54113FASTLY |
| 4 | 65.8.131.77 | United States | AS16509AMAZON-02 |
| 4 | 151.101.194.217 | San Francisco, California, United States | AS54113FASTLY |
| 4 | 54.83.137.55 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 4 | 52.54.175.76 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 4 | 34.204.233.250 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 4 | 13.219.189.229 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 122 | 29 | - | - |
Detected Technologies10
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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