Summary
This website contacted 11 IPs in 2 countries across 5 domains to perform 50 HTTP transactions. The main domain is townofdickinsonnybc.gov and was registered NaN years ago.
Submitted URL: https://townofdickinsonnybc.gov/
AI Security Verdict
Safe Website
Confidence: 92%
The site shows no malicious activity and appears to be a legitimate municipal website.
Safety Factors
Details
Page Title
News Ticker
Scan Type
public
Language
English
Category
government public service
(63%)Domain Information
The domain name 'townofdickinsonnybc.gov' uses the United States government-restricted top-level domain (.gov) while skipping any subdomain. The second-level label 'townofdickinsonnybc' is 19 characters long containing five vowels alongside 14 consonants. Breaking it apart gives 5 words: town, of, dickinson, ny, bc. Expect 2 characters per word on average. 'town' is most common in Chinese (Pinyin) usage. You may catch it in English and Norwegian as well.
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 |
|---|---|---|---|
| 10 | 3.82.170.87 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 4 | 188.114.96.3 | United States | AS13335CLOUDFLARENET |
| 4 | 185.111.111.157 | Frankfurt am Main, Hesse, Germany | AS212238Datacamp Limited |
| 4 | 142.250.184.234 | United States | AS15169GOOGLE |
| 4 | 216.58.206.35 | United States | AS15169GOOGLE |
| 4 | 2a06:98c1:3121::3 | United States | AS13335CLOUDFLARENET |
| 4 | 2a06:98c1:3120::3 | United States | AS13335CLOUDFLARENET |
| 4 | 188.114.97.3 | United States | AS13335CLOUDFLARENET |
| 4 | 2400:52e0:1e00:2::1331:1 | Germany | AS60068Datacamp Limited |
| 4 | 2a00:1450:4001:828::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 50 | 11 | - | - |
Detected Technologies3
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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