Summary
This website contacted 10 IPs in 2 countries across 8 domains to perform 63 HTTP transactions. The main domain is lakewoodny.gov and was registered NaN years ago.
Submitted URL: https://www.lakewoodny.gov/
AI Security Verdict
Safe Website
Confidence: 92%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
VILLAGE OF LAKEWOOD, NY - Home
Scan Type
public
Language
English
Category
government
(95%)Domain Information
Within the United States government-restricted top-level domain (.gov), 'www.lakewoodny.gov' is registered with subdomain 'www'. Count 10 characters in 'lakewoodny' with 4 vowels and six consonants. Segmentation suggests 2 words: lakewood, ny. Expect five characters per word on average. Most frequently, 'lakewood' shows up in Norwegian. It also appears in Danish and Swedish contexts. Overall, 'www.lakewoodny.gov' reads as Norwegian.
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 |
|---|---|---|---|
| 9 | 142.250.186.42 | United States | AS15169GOOGLE |
| 6 | 142.250.185.168 | United States | AS15169GOOGLE |
| 6 | 142.250.186.163 | United States | AS15169GOOGLE |
| 6 | 45.76.15.200 | Piscataway, New Jersey, United States | AS20473AS-VULTR |
| 6 | 199.34.228.76 | United States | AS27647WEEBLY |
| 6 | 146.75.121.46 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 6 | 2a00:1450:4001:82f::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 6 | 2a00:1450:4001:827::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 6 | 2a00:1450:4001:82f::2008 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 6 | 2a04:4e42:8e::302 | Frankfurt am Main, Hesse, Germany | AS54113FASTLY |
| 63 | 10 | - | - |
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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