Summary
This website contacted 28 IPs in 2 countries across 3 domains to perform 29 HTTP transactions. The main domain is townofnicholsny.gov and was registered NaN years ago.
Submitted URL: https://townofnicholsny.gov/
AI Security Verdict
Safe Website
Confidence: 92%
Site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Town of Nichols, Tioga County, New York, United States ...townofnicholsny.gov
Scan Type
public
Language
English
Category
government public service
(51%)Domain Information
The domain name 'townofnicholsny.gov' uses the United States government-restricted top-level domain (.gov) while skipping any subdomain. Its registrable label 'townofnicholsny' stretches across 15 characters containing four vowels alongside 11 consonants. It segments into four words: town, of, nichols, ny. Average segment length settles at 3 characters. The linguistic tilt is Chinese (Pinyin) for 'town'. Secondary signals appear in English and Dutch.
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 |
|---|---|---|---|
| 2 | 37.19.194.80 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 1 | 34.208.118.73 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 1 | 195.181.175.40 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 1 | 195.181.170.19 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 1 | 79.127.211.89 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 1 | 74.208.47.66 | United States | AS8560IONOS SE |
| 1 | 52.89.214.33 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 1 | 79.127.216.203 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 1 | 2a02:6ea0:c77a::48 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 1 | 2600:1f14:5db:eb00:a108:bd4b:8e6d:1b7e | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 29 | 28 | - | - |
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
Scan history not available
Unable to load historical scan data