Summary
This website contacted 126 IPs in 4 countries across 40 domains to perform 195 HTTP transactions. The main domain is v3.cambridgeny.gov and was registered NaN years ago.
Submitted URL: https://v3.cambridgeny.gov/
AI Security Verdict
Low Risk
Confidence: 92%
Legitimate government site with a minor circular redirect issue.
Risk Factors
Safety Factors
Details
Page Title
Village of Cambridge, NY - Official Government Website
Scan Type
public
Language
English
Category
government public service
(60%)Domain Information
The domain 'v3.cambridgeny.gov' uses the United States government-restricted top-level domain (.gov); it also runs on subdomain 'v3'. Its registrable label 'cambridgeny' stretches across 11 characters with 3 vowels and eight consonants. Tokenizing the label suggests two words: cambridge, ny. The median word length lands at 5.5 characters. No strong language cues emerged from the frequency lists.
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 |
|---|---|---|---|
| 70 | 34.205.34.168 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 1 | 142.250.185.106 | United States | AS15169GOOGLE |
| 1 | 104.16.175.226 | United States | AS13335CLOUDFLARENET |
| 1 | 142.250.185.234 | United States | AS15169GOOGLE |
| 1 | 142.251.141.106 | United States | AS15169GOOGLE |
| 1 | 54.186.130.23 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 1 | 108.167.183.249 | United States | AS19871NETWORK-SOLUTIONS-HOSTING |
| 1 | 37.252.171.21 | Frankfurt am Main, Hesse, Germany | AS29990ASN-APPNEX |
| 1 | 142.250.186.129 | United States | AS15169GOOGLE |
| 1 | 51.195.5.58 | Limburg an der Lahn, Hesse, Germany | AS16276OVH SAS |
| 195 | 126 | - | - |
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
Other Hashes
Scan History
Scan history not available
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