Summary
This website contacted 18 IPs in 2 countries across 9 domains to perform 74 HTTP transactions. The main domain is townofhamiltonny.gov.
Submitted URL: https://townofhamiltonny.gov/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears to be a legitimate government website with no security concerns.
Safety Factors
Details
Page Title
Hamilton, NY | Official Website
Scan Type
public
Language
English
Category
social media network
(89%)Domain Information
Within the United States government-restricted top-level domain (.gov), 'townofhamiltonny.gov' is registered while skipping any subdomain. Count 16 characters in 'townofhamiltonny' split between 5 vowels and eleven consonants. Word splitting yields four words: town, of, hamilton, ny. The median word length lands at three characters. 'town' most strongly signals Chinese (Pinyin). You will also see it in English and Dutch contexts. Taken together, it feels 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 |
|---|---|---|---|
| 6 | 57.144.244.1 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 4 | 157.240.253.1 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 4 | 216.239.34.36 | United States | AS15169GOOGLE |
| 4 | 142.250.186.163 | United States | AS15169GOOGLE |
| 4 | 142.250.186.168 | United States | AS15169GOOGLE |
| 4 | 104.212.67.237 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 4 | 57.144.244.128 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 4 | 216.58.206.42 | United States | AS15169GOOGLE |
| 4 | 207.38.73.141 | United States | AS36489NETSOLUS-NETWORKS |
| 4 | 2a03:2880:f37a:1:face:b00c:0:25de | Germany | Unknown |
| 74 | 18 | - | - |
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
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