Summary
This website contacted 29 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
Moderate Risk
Confidence: 72%
The site looks like a legitimate town website but its recent registration and lack of ranking warrant caution.
Risk Factors
Safety Factors
Details
Page Title
Town of Nichols, Tioga County, New York, United States ...townofnicholsny.gov
Scan Type
public
Language
English
Domain Information
You're looking at domain 'townofnicholsny.gov' on the United States government-restricted top-level domain (.gov). Count 15 characters in 'townofnicholsny' holding 4 vowels versus 11 consonants. It segments into 4 words: town, of, nichols, ny. Expect 3 characters per word on average. 'town' most often appears in Chinese (Pinyin). You may catch it in English and Dutch as well. Taken together, it feels Chinese (Pinyin).
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 1 | 37.19.194.80 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 1 | 195.181.170.18 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 1 | 79.127.211.90 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 1 | 52.32.117.186 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 1 | 52.89.214.33 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 1 | 212.102.56.178 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 1 | 79.127.216.203 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 1 | 74.208.47.66 | United States | AS8560IONOS SE |
| 1 | 52.24.46.238 | United States | Unknown |
| 1 | 2600:1f14:5db:eb22:ae1b:c27d:437e:fe20 | United States | Unknown |
| 29 | 29 | - | - |
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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