Summary
This website contacted 51 IPs in 2 countries across 14 domains to perform 199 HTTP transactions. The main domain is grandcountyems.net and was registered NaN years ago.
Submitted URL: https://www.grandcountyems.net/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Moab, UT | Grand County EMS - Ambulance Service
Scan Type
public
Language
English
Category
government public service
(93%)Domain Information
You're looking at domain 'www.grandcountyems.net' on the network infrastructure generic top-level domain (.net), featuring subdomain 'www'. Its registrable label 'grandcountyems' stretches across 14 characters containing 4 vowels alongside ten consonants. Tokenizing the label suggests 3 words: grand, county, ems. Median word length comes out to five 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 |
|---|---|---|---|
| 103 | 34.49.229.81 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 46 | 157.240.0.63 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 16 | 65.8.131.76 | United States | AS16509AMAZON-02 |
| 9 | 3.91.142.98 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 4 | 34.149.87.45 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 4 | 104.18.34.93 | United States | AS13335CLOUDFLARENET |
| 4 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 3 | 65.8.131.77 | United States | AS16509AMAZON-02 |
| 3 | 172.64.153.163 | United States | AS13335CLOUDFLARENET |
| 3 | 65.8.131.125 | United States | AS16509AMAZON-02 |
| 199 | 51 | - | - |
Detected Technologies7
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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