Summary
This website contacted 61 IPs in 2 countries across 12 domains to perform 199 HTTP transactions. The main domain is cityofsalemky.gov and was registered NaN years ago.
Submitted URL: https://www.cityofsalemky.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate municipal website with no security concerns.
Safety Factors
Details
Page Title
Home | City of Salem
Scan Type
public
Language
English
Category
government public service
(72%)Domain Information
The domain 'www.cityofsalemky.gov' uses the United States government-restricted top-level domain (.gov) with subdomain 'www'. Its registrable label 'cityofsalemky' stretches across 13 characters split between 4 vowels and 9 consonants. Segmentation suggests 4 words: city, of, salem, ky. Median word length comes out to three 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 |
|---|---|---|---|
| 136 | 34.49.229.81 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 23 | 65.8.131.76 | United States | AS16509AMAZON-02 |
| 19 | 52.86.41.132 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 13 | 34.149.206.255 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 12 | 3.221.75.61 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 3 | 142.250.185.106 | United States | AS15169GOOGLE |
| 3 | 151.101.66.217 | San Francisco, California, United States | AS54113FASTLY |
| 3 | 65.8.131.125 | United States | AS16509AMAZON-02 |
| 3 | 34.149.87.45 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 3 | 216.58.206.42 | United States | AS15169GOOGLE |
| 199 | 61 | - | - |
Detected Technologies4
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
Scan history not available
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