Summary
This website contacted 15 IPs in 2 countries across 9 domains to perform 144 HTTP transactions. The main domain is townofmamaroneckfd.gov and was registered NaN years ago.
Submitted URL: https://www.townofmamaroneckfd.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate municipal fire department site with no detected security concerns.
Safety Factors
Details
Page Title
HOME | Town of Mamaroneck Fire Department
Scan Type
public
Language
English
Category
government
(48%)Domain Information
The domain 'www.townofmamaroneckfd.gov' uses the United States government-restricted top-level domain (.gov) with subdomain 'www'. Its registrable label 'townofmamaroneckfd' stretches across 18 characters with six vowels and 12 consonants. Segmentation suggests 6 words: town, of, m, amaro, neck, fd. Expect three characters per word on average. 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 |
|---|---|---|---|
| 18 | 151.101.194.217 | United States | AS54113FASTLY |
| 9 | 65.8.131.76 | United States | AS16509AMAZON-02 |
| 9 | 34.234.213.62 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 9 | 44.207.84.49 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 9 | 3.233.4.9 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 9 | 65.8.131.77 | United States | AS16509AMAZON-02 |
| 9 | 54.85.90.58 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 9 | 34.149.87.45 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 9 | 104.20.38.28 | United States | AS13335CLOUDFLARENET |
| 9 | 34.149.206.255 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 144 | 15 | - | - |
Detected Technologies8
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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