Summary
This website contacted 9 IPs in 2 countries across 4 domains to perform 51 HTTP transactions. The main domain is lansingtownny.gov and was registered NaN years ago.
Submitted URL: https://www.lansingtownny.gov/
AI Security Verdict
Low Risk
Confidence: 80%
Site appears legitimate but recent registration and low ranking suggest moderate caution.
Risk Factors
Safety Factors
Details
Page Title
Lansing, New York Home Page | Town of Lansing New York
Scan Type
public
Language
English
Category
government public service
(68%)Domain Information
Within the United States government-restricted top-level domain (.gov), 'www.lansingtownny.gov' is registered; it also runs on subdomain 'www'. The second-level label 'lansingtownny' is 13 characters long split between three vowels and ten consonants. Segmentation suggests three words: lansing, town, ny. Average segment length settles at 4 characters. The linguistic tilt is Norwegian for 'lansing'. It also appears in Danish and Swedish contexts. Net impression: Norwegian phrase.
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 |
|---|---|---|---|
| 5 | 142.250.186.74 | United States | AS15169GOOGLE |
| 5 | 216.239.32.36 | United States | AS15169GOOGLE |
| 5 | 216.58.206.72 | United States | AS15169GOOGLE |
| 5 | 162.221.183.17 | Buffalo, New York, United States | AS16509AMAZON-02 |
| 5 | 216.239.34.36 | United States | AS15169GOOGLE |
| 5 | 2a00:1450:4001:804::2008 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 5 | 2001:4860:4802:32::36 | United States | AS15169GOOGLE |
| 5 | 2a00:1450:4001:81c::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 5 | 2001:4860:4802:34::36 | United States | AS15169GOOGLE |
| 51 | 9 | - | - |
Detected Technologies5
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
Scan History
Scan history not available
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