Summary
This website contacted 10 IPs in 2 countries across 7 domains to perform 32 HTTP transactions. The main domain is bigstonecitysd.gov and was registered NaN years ago.
Submitted URL: https://bigstonecitysd.gov/
AI Security Verdict
High Risk
Confidence: 88%
Site mimics Facebook on a .gov domain, indicating high‑risk phishing.
Risk Factors
Details
Page Title
Big Stone City, SD
Scan Type
public
Language
English
Category
government
(48%)Domain Information
Domain 'bigstonecitysd.gov' uses the United States government-restricted top-level domain (.gov) with no subdomain. The second-level label 'bigstonecitysd' is 14 characters long split between four vowels and ten consonants. Breaking it apart gives four words: big, stone, city, sd. Average segment length settles at 3.5 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 |
|---|---|---|---|
| 19 | 192.0.78.25 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 5 | 192.0.78.12 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 5 | 192.0.77.32 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 4 | 192.0.76.3 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 3 | 192.0.78.24 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 3 | 192.0.78.18 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 3 | 2a04:fa87:fffe::c000:4902 | Ireland | AS2635AUTOMATTIC |
| 2 | 192.0.73.2 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 1 | 192.0.78.13 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 1 | 192.0.78.19 | San Francisco, California, United States | AS2635AUTOMATTIC |
| 32 | 10 | - | - |
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects 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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