Summary
This website contacted 9 IPs in 3 countries across 5 domains to perform 9 HTTP transactions. The main domain is parkhillsmo.gov and was registered NaN years ago.
Submitted URL: https://parkhillsmo.gov/
Effective URL: https://parkhillsmo.gov/landerRedirected
AI Security Verdict
Safe Website
Confidence: 95%
No security concerns identified; 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 'parkhillsmo.gov' on the United States government-restricted top-level domain (.gov). Its registrable label 'parkhillsmo' stretches across 11 characters with three vowels and eight consonants. Tokenizing the label suggests 3 words: park, hills, mo. The median word length lands at 4 characters. 'park' is most common in Tagalog usage. It also appears in Galician and Chinese (Pinyin) contexts. Overall, 'parkhillsmo.gov' reads as Tagalog.
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 |
|---|---|---|---|
| 1 | 23.207.210.143 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 23.207.210.148 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 142.250.186.34 | United States | AS15169GOOGLE |
| 1 | 142.250.186.132 | United States | AS15169GOOGLE |
| 1 | 15.197.172.60 | United States | AS16509AMAZON-02 |
| 1 | 3.108.74.203 | Mumbai, Maharashtra, India | AS16509AMAZON-02 |
| 1 | 2a00:1450:4001:811::2002 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 1 | 13.232.247.97 | Mumbai, Maharashtra, India | AS16509AMAZON-02 |
| 1 | 2a00:1450:4001:80b::2004 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 9 | 9 | - | - |
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.
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