Summary
API
This website contacted 18 IPs in 2 countries across 4 domains to perform 116 HTTP transactions. The main domain is townofsidneyny.gov and was registered 3 years 1 month ago.
Submitted URL: https://townofsidneyny.gov/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors (4)
Details
Page Title
Town of Sidney NY – Welcome to Sidney, New York!
Scan Type
public
Domain Name Analysis
Within the United States government-restricted top-level domain (.gov), 'townofsidneyny.gov' is registered without a subdomain. The core label 'townofsidneyny' covers 14 characters containing four vowels alongside ten consonants. It segments into four words: town, of, sidney, ny. Median word length comes out to three characters. 'town' most often appears in Chinese (Pinyin). You will also see it in English and Dutch contexts.
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 |
|---|---|---|---|
| 14 | 35.164.49.183 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 6 | 142.250.185.131 | United States | AS15169GOOGLE |
| 6 | 172.217.18.10 | United States | AS15169GOOGLE |
| 6 | 38.100.173.215 | New York, New York, United States | AS174COGENT-174 |
| 6 | 2600:1f14:5db:eb00:4a24:99bf:3eff:9a75 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 6 | 2600:1f14:5db:eb22:a07f:2bdc:be5f:f029 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 6 | 2a00:1450:4001:803::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 6 | 34.208.118.73 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 6 | 52.39.192.212 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 6 | 2600:1f14:5db:eb11:d9ba:d8ed:48f:7a53 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 116 | 18 | - | - |
Detected Technologies6
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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