Summary
This website contacted 85 IPs in 2 countries across 13 domains to perform 61 HTTP transactions. The main domain is woodsburgh.gov and was registered NaN years ago.
Submitted URL: https://woodsburgh.gov/
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Village of Woodsburgh
Scan Type
public
Language
English
Category
government
(48%)Domain Information
The domain name 'woodsburgh.gov' uses the United States government-restricted top-level domain (.gov) with no subdomain. The registrable portion 'woodsburgh' spans 10 characters holding 3 vowels versus seven consonants. Breaking it apart gives 2 words: woods, burgh. Average segment length settles at five characters. 'woods' is most common in Vietnamese usage. Secondary signals appear in Icelandic and Malay.
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 |
|---|---|---|---|
| 61 | 195.181.175.40 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 0 | 44.225.74.15 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 0 | 151.101.129.229 | San Francisco, California, United States | AS54113FASTLY |
| 0 | 142.250.184.219 | United States | AS15169GOOGLE |
| 0 | 104.17.25.14 | United States | AS13335CLOUDFLARENET |
| 0 | 151.101.194.137 | San Francisco, California, United States | AS54113FASTLY |
| 0 | 216.58.206.67 | United States | AS15169GOOGLE |
| 0 | 172.217.18.27 | United States | AS15169GOOGLE |
| 0 | 5.161.88.82 | Ashburn, Virginia, United States | AS213230Hetzner Online GmbH |
| 0 | 151.101.65.229 | San Francisco, California, United States | AS54113FASTLY |
| 61 | 85 | - | - |
Detected Technologies10
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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