Summary
This website contacted 121 IPs in 3 countries across 23 domains to perform 169 HTTP transactions. The main domain is newburgh.in.gov and was registered NaN years ago.
Submitted URL: https://www.newburgh.in.gov/
The Cisco Umbrella rank of the primary domain is #36,277 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 98%
Legitimate government website with no apparent security threats.
Safety Factors
Details
Page Title
Newburgh, IN
Scan Type
public
Language
English
Category
government
(95%)Domain Information
Within the United States government-restricted top-level domain (.gov), 'www.newburgh.in.gov' is registered; it also runs on subdomain 'www.newburgh'. The registrable portion 'in' spans 2 characters holding one vowel versus one consonant. Splitting it apart reveals 1 word: in. Expect two characters per word on average. 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 |
|---|---|---|---|
| 49 | 54.188.94.37 | Boardman, Oregon, United States | AS16509AMAZON-02 |
| 37 | 144.24.35.187 | Phoenix, Arizona, United States | AS31898ORACLE-BMC-31898 |
| 12 | 104.26.8.115 | United States | AS13335CLOUDFLARENET |
| 12 | 75.2.21.72 | United States | AS16509AMAZON-02 |
| 11 | 195.181.170.18 | Frankfurt am Main, Hesse, Germany | AS60068Datacamp Limited |
| 7 | 216.58.206.35 | United States | AS15169GOOGLE |
| 6 | 52.242.103.142 | Boydton, Virginia, United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 5 | 104.16.174.226 | United States | AS13335CLOUDFLARENET |
| 4 | 142.251.140.164 | United States | AS15169GOOGLE |
| 4 | 172.217.18.8 | United States | AS15169GOOGLE |
| 169 | 121 | - | - |
Detected Technologies3
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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