Summary
This website contacted 36 IPs in 2 countries across 13 domains to perform 48 HTTP transactions. The main domain is glacierviewfire.gov and was registered NaN years ago.
Submitted URL: https://www.glacierviewfire.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate government site with no apparent security threats.
Safety Factors
Details
Page Title
Glacier View Fire Protection District
Scan Type
public
Language
English
Category
government
(48%)Domain Information
The domain 'www.glacierviewfire.gov' uses the United States government-restricted top-level domain (.gov); it also runs on subdomain 'www'. The second-level label 'glacierviewfire' is 15 characters long with 7 vowels and eight consonants. Word splitting yields 3 words: glacier, view, fire. Median word length comes out to 4 characters. Most frequently, 'glacier' shows up in Chinese (Pinyin). You may catch it in English and Tagalog 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 |
|---|---|---|---|
| 1 | 54.186.23.98 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 1 | 162.247.243.39 | United States | AS54113FASTLY |
| 1 | 142.250.185.132 | United States | AS15169GOOGLE |
| 1 | 54.187.119.242 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 1 | 142.250.185.202 | United States | AS15169GOOGLE |
| 1 | 54.187.159.182 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 1 | 3.160.150.94 | United States | AS16509AMAZON-02 |
| 1 | 3.160.150.32 | United States | AS16509AMAZON-02 |
| 1 | 52.32.196.230 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 1 | 146.75.122.208 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 48 | 36 | - | - |
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
Other Hashes
Scan History
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