Summary
This website contacted 36 IPs in 3 countries across 15 domains to perform 58 HTTP transactions. The main domain is downievillefire.specialdistrict.org and was registered NaN years ago.
Submitted URL: https://downievillefire.specialdistrict.org/
The Cisco Umbrella rank of the primary domain is #764,832 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The site shows no security threats and appears legitimate.
Safety Factors
Details
Page Title
Homepage Downieville Fire Protection District
Scan Type
public
Language
English
Category
government public service
(63%)Domain Information
The domain name 'downievillefire.specialdistrict.org' uses the non-profit oriented generic top-level domain (.org), featuring subdomain 'downievillefire'. Its registrable label 'specialdistrict' stretches across 15 characters split between 5 vowels and 10 consonants. Word splitting yields two words: special, district. Average segment length settles at 7.5 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 |
|---|---|---|---|
| 23 | 54.186.23.98 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 12 | 146.75.120.176 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 12 | 52.32.196.230 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 11 | 146.75.122.208 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 7 | 192.178.170.95 | United States | AS15169GOOGLE |
| 4 | 162.247.243.29 | United States | AS54113FASTLY |
| 3 | 172.217.18.3 | United States | AS15169GOOGLE |
| 2 | 54.187.119.242 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 1 | 13.33.50.64 | New York, New York, United States | AS16509AMAZON-02 |
| 1 | 104.19.229.21 | United States | AS13335CLOUDFLARENET |
| 58 | 36 | - | - |
Detected Technologies2
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
Unable to load historical scan data