Summary
This website contacted 49 IPs in 2 countries across 15 domains to perform 59 HTTP transactions. The main domain is hoplandfire.gov and was registered NaN years ago.
Submitted URL: https://www.hoplandfire.gov/
AI Security Verdict
Low Risk
Confidence: 92%
Site appears to be a legitimate local fire district with low risk.
Risk Factors
Safety Factors
Details
Page Title
Hopland Fire Protection District
Scan Type
public
Language
English
Category
government
(95%)Domain Information
The domain name 'www.hoplandfire.gov' uses the United States government-restricted top-level domain (.gov); it also runs on subdomain 'www'. The second-level label 'hoplandfire' is 11 characters long holding four vowels versus 7 consonants. Breaking it apart gives three words: hop, land, fire. The median word length lands at four characters. 'hop' most strongly signals Danish. You may catch it in Norwegian and Chinese (Pinyin) as well.
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 |
|---|---|---|---|
| 12 | 146.75.122.208 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 12 | 52.32.196.230 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 11 | 18.173.205.121 | United States | AS16509AMAZON-02 |
| 10 | 146.75.120.176 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 7 | 216.58.212.138 | United States | AS15169GOOGLE |
| 4 | 162.247.243.29 | United States | AS54113FASTLY |
| 3 | 142.250.186.35 | United States | AS15169GOOGLE |
| 2 | 18.66.112.117 | United States | Unknown |
| 2 | 54.187.159.182 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 1 | 34.36.213.229 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 59 | 49 | - | - |
Detected Technologies5
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
Scan History
Scan history not available
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