Summary
This website contacted 9 IPs in 2 countries across 7 domains to perform 52 HTTP transactions. The main domain is townoflymeny.gov and was registered NaN years ago.
Submitted URL: https://townoflymeny.gov/
AI Security Verdict
Moderate Risk
Confidence: 72%
Site shows moderate risk due to new, possibly misspelled .gov domain; no credential collection detected.
Risk Factors
Safety Factors
Details
Page Title
Town of Lyme, NY - Town of Lyme
Scan Type
public
Language
English
Category
government public service
(84%)Domain Information
The domain 'townoflymeny.gov' uses the United States government-restricted top-level domain (.gov) without a subdomain. Its registrable label 'townoflymeny' stretches across 12 characters split between 3 vowels and 9 consonants. Breaking it apart gives 4 words: town, of, lyme, ny. Average segment length settles at three characters. Most frequently, 'town' shows up in Chinese (Pinyin). It also appears in English and Dutch 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 |
|---|---|---|---|
| 12 | 142.250.186.163 | United States | AS15169GOOGLE |
| 5 | 66.235.200.145 | United States | AS13335CLOUDFLARENET |
| 5 | 192.0.77.2 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 5 | 142.250.184.202 | United States | AS15169GOOGLE |
| 5 | 50.6.154.46 | Ashburn, Virginia, United States | AS19871NETWORK-SOLUTIONS-HOSTING |
| 5 | 192.0.76.3 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 5 | 172.217.23.106 | United States | AS15169GOOGLE |
| 5 | 2a00:1450:4001:829::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 5 | 2a00:1450:4001:831::2003 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 52 | 9 | - | - |
Detected Technologies12
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
Scan history not available
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