Summary
This website contacted 20 IPs in 2 countries across 7 domains to perform 32 HTTP transactions. The main domain is buckinghamva.gov and was registered NaN years ago.
Submitted URL: https://buckinghamva.gov/
Effective URL: https://buckinghamva.gov/landerRedirected
AI Security Verdict
Confirmed Scam
Confidence: 92%
High‑risk parked .gov domain likely used for phishing; do not trust.
Risk Factors
Details
Page Title
N/A
Scan Type
public
Language
English
Category
government
(95%)Domain Information
You're looking at domain 'buckinghamva.gov' on the United States government-restricted top-level domain (.gov) with no subdomain. The registrable portion 'buckinghamva' spans 12 characters split between four vowels and eight consonants. Tokenizing the label suggests two words: buckingham, va. Average segment length settles at 6 characters. 'buckingham' most strongly signals Catalan. Usage also turns up in Romanian and French 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 |
|---|---|---|---|
| 13 | 18.66.122.116 | United States | AS16509AMAZON-02 |
| 1 | 52.222.236.71 | United States | AS16509AMAZON-02 |
| 1 | 18.66.122.78 | United States | AS16509AMAZON-02 |
| 1 | 23.207.210.148 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 98.89.254.117 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 1 | 23.207.210.143 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 18.66.122.49 | United States | AS16509AMAZON-02 |
| 1 | 52.222.236.94 | United States | AS16509AMAZON-02 |
| 1 | 13.32.121.61 | New York, New York, United States | AS16509AMAZON-02 |
| 1 | 15.197.148.33 | United States | AS16509AMAZON-02 |
| 32 | 20 | - | - |
Detected Technologies2
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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