Summary
This website contacted 25 IPs in 2 countries across 9 domains to perform 39 HTTP transactions. The main domain is ndstudies.gov and was registered NaN years ago.
Submitted URL: https://www.ndstudies.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate government educational site with no security concerns.
Safety Factors
Details
Page Title
Welcome To North Dakota Studies! | North Dakota Studies
Scan Type
public
Language
English
Category
education learning
(68%)Domain Information
You're looking at domain 'www.ndstudies.gov' on the United States government-restricted top-level domain (.gov) and includes subdomain 'www'. The second-level label 'ndstudies' is 9 characters long with three vowels and 6 consonants. It segments into two words: nd, studies. Average segment length settles at 4.5 characters. Most frequently, 'nd' shows up in English. Secondary signals appear in Chinese (Pinyin) and Chinese (Zhuyin). Net impression: English phrase.
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 |
|---|---|---|---|
| 15 | 184.24.77.144 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 184.24.77.146 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 165.234.157.23 | Cooperstown, North Dakota, United States | AS19530NDIN-STATE |
| 1 | 142.250.181.232 | United States | AS15169GOOGLE |
| 1 | 104.16.175.226 | United States | AS13335CLOUDFLARENET |
| 1 | 142.250.186.46 | United States | AS15169GOOGLE |
| 1 | 104.18.10.207 | United States | AS13335CLOUDFLARENET |
| 1 | 165.234.159.38 | Cooperstown, North Dakota, United States | AS19530NDIN-STATE |
| 1 | 104.18.11.207 | United States | AS13335CLOUDFLARENET |
| 1 | 216.239.32.36 | United States | AS15169GOOGLE |
| 39 | 25 | - | - |
Detected Technologies11
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
Scan History
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