Summary
This website contacted 29 IPs in 1 country across 7 domains to perform 134 HTTP transactions. The main domain is argylefiredistrictfl.gov and was registered NaN years ago.
Submitted URL: https://www.argylefiredistrictfl.gov/
AI Security Verdict
Safe Website
Confidence: 85%
The site appears legitimate with no evident security threats.
Safety Factors
Details
Page Title
Fire Department | Argyle Fire Department | Florida
Scan Type
public
Language
English
Category
government
(95%)Domain Information
Domain 'www.argylefiredistrictfl.gov' uses the United States government-restricted top-level domain (.gov) with subdomain 'www'. The second-level label 'argylefiredistrictfl' is 20 characters long containing six vowels alongside 14 consonants. Segmentation suggests 4 words: argyle, fire, district, fl. Median word length is five characters. 'argyle' is most common in Chinese (Pinyin) usage. You may catch it in English and Malay as well. Overall, 'www.argylefiredistrictfl.gov' reads as Chinese (Pinyin).
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 |
|---|---|---|---|
| 22 | 34.149.87.45 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 4 | 34.49.229.81 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 4 | 151.101.66.217 | San Francisco, California, United States | AS54113FASTLY |
| 4 | 54.166.192.105 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 4 | 34.203.1.235 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 4 | 99.86.4.105 | United States | AS16509AMAZON-02 |
| 4 | 34.149.206.255 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 4 | 99.86.4.125 | United States | AS16509AMAZON-02 |
| 4 | 99.86.4.90 | United States | AS16509AMAZON-02 |
| 4 | 54.204.203.119 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 134 | 29 | - | - |
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
Scan history not available
Unable to load historical scan data