Summary
API
This website contacted 22 IPs in 2 countries across 9 domains to perform 102 HTTP transactions. The main domain is burnsharbor-in.gov and was registered 14 years ago.
Submitted URL: https://burnsharbor-in.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Site appears legitimate with minimal risk.
Risk Factors (1)
Safety Factors (4)
Details
Page Title
Burns Harbor, IN - Official Website | Official Website
Scan Type
public
Domain Name Analysis
The domain name 'burnsharbor-in.gov' uses the United States government-restricted top-level domain (.gov) while skipping any subdomain. The core label 'burnsharbor-in' covers 14 characters with 4 vowels and nine consonants; bonus characters include one hyphen. Word splitting yields three words: burns, harbor, in. Expect 5 characters per word on average. 'burns' is most common in Slovenian usage. It also appears in Italian and English contexts. Taken together, it feels Slovenian with character flair.
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 |
|---|---|---|---|
| 18 | 172.217.18.10 | United States | AS15169GOOGLE |
| 4 | 142.250.185.200 | United States | AS15169GOOGLE |
| 4 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 4 | 208.90.189.241 | United States | AS393775IPP-AS |
| 4 | 216.239.32.36 | United States | AS15169GOOGLE |
| 4 | 216.239.34.36 | United States | AS15169GOOGLE |
| 4 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 4 | 142.250.185.131 | United States | AS15169GOOGLE |
| 4 | 13.107.246.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 4 | 2a00:1450:4001:81c::2008 | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 102 | 22 | - | - |
Detected Technologies7
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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