Summary
This website contacted 28 IPs in 4 countries across 10 domains to perform 35 HTTP transactions. The main domain is indiancreekvillagepdfl.gov and was registered NaN years ago.
Submitted URL: https://indiancreekvillagepdfl.gov/
Effective URL: https://indiancreekvillagepdfl.gov/landerRedirected
AI Security Verdict
Safe Website
Confidence: 95%
No security concerns detected; the site appears legitimate.
Safety Factors
Details
Page Title
N/A
Scan Type
public
Language
English
Category
government
(95%)Domain Information
You're looking at domain 'indiancreekvillagepdfl.gov' on the United States government-restricted top-level domain (.gov) with no subdomain. Count 22 characters in 'indiancreekvillagepdfl' holding eight vowels versus 14 consonants. Breaking it apart gives five words: indian, creek, village, pdf, l. The median word length lands at 5 characters. 'indian' is most common in Catalan usage. Secondary signals appear in Chinese (Zhuyin) and Vietnamese.
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 |
|---|---|---|---|
| 8 | 23.53.42.211 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 52.19.69.172 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 1 | 3.108.74.203 | Mumbai, Maharashtra, India | AS16509AMAZON-02 |
| 1 | 13.226.244.19 | United States | AS16509AMAZON-02 |
| 1 | 13.226.244.79 | United States | AS16509AMAZON-02 |
| 1 | 54.246.117.68 | Dublin, Leinster, Ireland | AS16509AMAZON-02 |
| 1 | 52.222.236.94 | United States | AS16509AMAZON-02 |
| 1 | 52.222.236.71 | United States | AS16509AMAZON-02 |
| 1 | 13.32.121.61 | New York, New York, United States | AS16509AMAZON-02 |
| 1 | 52.222.236.60 | United States | AS16509AMAZON-02 |
| 35 | 28 | - | - |
Detected Technologies2
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
Scan history not available
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