Summary
This website contacted 56 IPs in 2 countries across 11 domains to perform 60 HTTP transactions. The main domain is norfolkne.gov and was registered NaN years ago.
Submitted URL: https://norfolkne.gov/
AI Security Verdict
Safe Website
Confidence: 96%
Legitimate government website with no detected threats.
Safety Factors
Details
Page Title
Welcome to Norfolk, NE - City of Norfolk, NE
Scan Type
public
Language
English
Category
government public service
(68%)Domain Information
Domain 'norfolkne.gov' uses the United States government-restricted top-level domain (.gov) and has no subdomain. Its registrable label 'norfolkne' stretches across 9 characters containing three vowels alongside 6 consonants. Tokenizing the label suggests two words: norfolk, ne. Median word length comes out to 4.5 characters. 'norfolk' most often appears in Slovenian. Secondary signals appear in Bosnian and Croatian. Net impression: Slovenian 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 |
|---|---|---|---|
| 40 | 169.61.52.206 | United States | AS36351SOFTLAYER |
| 5 | 184.24.77.156 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 4 | 104.17.24.14 | United States | AS13335CLOUDFLARENET |
| 3 | 142.250.181.234 | United States | AS15169GOOGLE |
| 2 | 151.101.66.137 | San Francisco, California, United States | AS54113FASTLY |
| 2 | 216.239.34.36 | United States | AS15169GOOGLE |
| 1 | 172.217.18.10 | United States | AS15169GOOGLE |
| 1 | 151.101.194.137 | San Francisco, California, United States | AS54113FASTLY |
| 1 | 142.251.140.168 | United States | AS15169GOOGLE |
| 1 | 184.24.77.152 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 60 | 56 | - | - |
Detected Technologies10
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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