Summary
This website contacted 32 IPs in 2 countries across 3 domains to perform 26 HTTP transactions. The main domain is villageofnicholsny.gov and was registered NaN years ago.
Submitted URL: https://villageofnicholsny.gov/
AI Security Verdict
Safe Website
Confidence: 92%
The site shows no malicious activity and appears to be a legitimate municipal page.
Safety Factors
Details
Page Title
Village of Nichols NY ...Tioga County Southern Tier Region of New York State ...VillageofNicholsNY.com
Scan Type
public
Language
English
Category
government public service
(67%)Domain Information
You're looking at domain 'villageofnicholsny.gov' on the United States government-restricted top-level domain (.gov) with no subdomain. The second-level label 'villageofnicholsny' is 18 characters long split between 6 vowels and 12 consonants. Word splitting yields 4 words: village, of, nichols, ny. Expect 4.5 characters per word on average. No strong language cues emerged from the frequency lists.
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 |
|---|---|---|---|
| 26 | 79.127.216.203 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 0 | 35.84.62.66 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 0 | 79.127.211.89 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 0 | 37.19.194.81 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 0 | 212.102.56.178 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 0 | 195.181.175.40 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 0 | 74.208.12.45 | United States | AS8560IONOS SE |
| 0 | 195.181.170.18 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 0 | 52.25.138.89 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 0 | 52.11.161.235 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 26 | 32 | - | - |
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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