Summary
This website contacted 18 IPs in 2 countries across 8 domains to perform 34 HTTP transactions. The main domain is townofspencerny.gov and was registered NaN years ago.
Submitted URL: https://townofspencerny.gov/
AI Security Verdict
Low Risk
Confidence: 82%
New municipal site with no malicious signs; low risk.
Risk Factors
Safety Factors
Details
Page Title
Town of Spencer, NY
Scan Type
public
Language
English
Category
government
(95%)Domain Information
Within the United States government-restricted top-level domain (.gov), 'townofspencerny.gov' is registered. Its registrable label 'townofspencerny' stretches across 15 characters containing four vowels alongside 11 consonants. Splitting it apart reveals 4 words: town, of, spencer, ny. Expect three characters per word on average. 'town' is most common in Chinese (Pinyin) usage. You may catch it in English and Dutch 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 |
|---|---|---|---|
| 17 | 198.49.23.144 | United States | AS53831SQUARESPACE |
| 1 | 146.75.120.238 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 1 | 184.24.77.144 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 198.185.159.145 | United States | AS53831SQUARESPACE |
| 1 | 184.24.77.156 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 142.250.186.106 | United States | AS15169GOOGLE |
| 1 | 198.185.159.144 | New York, New York, United States | AS53831SQUARESPACE |
| 1 | 34.160.236.44 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 1 | 142.250.184.227 | United States | AS15169GOOGLE |
| 1 | 146.75.120.237 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 34 | 18 | - | - |
Detected Technologies7
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
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