Summary
This website contacted 44 IPs in 2 countries across 11 domains to perform 71 HTTP transactions. The main domain is townofonondaga.gov and was registered NaN years ago.
Submitted URL: https://www.townofonondaga.gov/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Town of Onondaga New York - Home Page
Scan Type
public
Language
English
Category
government
(48%)Domain Information
The domain name 'www.townofonondaga.gov' uses the United States government-restricted top-level domain (.gov); it also runs on subdomain 'www'. Its registrable label 'townofonondaga' stretches across 14 characters with six vowels and 8 consonants. It segments into three words: town, of, onondaga. The median word length lands at 4 characters. The linguistic tilt is Chinese (Pinyin) for 'town'. It also appears in English and Dutch contexts. Overall, 'www.townofonondaga.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 |
|---|---|---|---|
| 28 | 3.174.46.103 | United States | AS16509AMAZON-02 |
| 1 | 143.204.98.35 | United States | AS16509AMAZON-02 |
| 1 | 108.138.26.100 | United States | AS16509AMAZON-02 |
| 1 | 142.250.186.35 | United States | AS15169GOOGLE |
| 1 | 143.204.98.36 | United States | AS16509AMAZON-02 |
| 1 | 3.174.46.21 | United States | AS16509AMAZON-02 |
| 1 | 143.204.98.23 | United States | AS16509AMAZON-02 |
| 1 | 172.66.174.217 | United States | AS13335CLOUDFLARENET |
| 1 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 1 | 108.138.26.19 | United States | AS16509AMAZON-02 |
| 71 | 44 | - | - |
Detected Technologies9
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
Scan History
Scan history not available
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