Summary
This website contacted 14 IPs in 2 countries across 7 domains to perform 39 HTTP transactions. The main domain is poestenkillny.com and was registered NaN years ago.
Submitted URL: https://www.poestenkillny.com/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate municipal website with no security concerns.
Safety Factors
Details
Page Title
Town of Poestenkill
Scan Type
public
Language
English
Category
corporate
(50%)Domain Information
Domain 'www.poestenkillny.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. The registrable portion 'poestenkillny' spans 13 characters containing 4 vowels alongside nine consonants. Breaking it apart gives four words: poe, sten, kill, ny. Median word length is 3.5 characters. 'poe' most strongly signals Chinese (Pinyin). You will also see it in English and Danish contexts.
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 |
|---|---|---|---|
| 15 | 146.75.120.238 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 13 | 198.49.23.144 | United States | AS53831SQUARESPACE |
| 10 | 184.24.77.144 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 8 | 146.75.120.237 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 3 | 198.49.23.145 | United States | AS53831SQUARESPACE |
| 2 | 198.185.159.145 | United States | AS53831SQUARESPACE |
| 2 | 34.160.236.44 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 2 | 184.24.77.156 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 2a02:26f0:3500:8::210:a48 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 2 | 2a02:26f0:3500:8::210:a58 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 39 | 14 | - | - |
Detected Technologies8
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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