Summary
This website contacted 69 IPs in 2 countries across 23 domains to perform 144 HTTP transactions. The main domain is norfolk.gov and was registered NaN years ago.
Submitted URL: https://www.norfolk.gov/
The Cisco Umbrella rank of the primary domain is #579,066 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The site appears to be the legitimate City of Norfolk government website.
Safety Factors
Details
Page Title
City of Norfolk, Virginia - Official Website | Official Website
Scan Type
public
Language
English
Domain Information
Within the United States government-restricted top-level domain (.gov), 'www.norfolk.gov' is registered and includes subdomain 'www'. The registrable portion 'norfolk' spans 7 characters holding two vowels versus five consonants. Breaking it apart gives 1 word: norfolk. 'norfolk' is most common in Vietnamese usage. Usage also turns up in Afrikaans and Bosnian contexts. Overall, 'www.norfolk.gov' reads as Vietnamese with single-word simplicity.
Screenshot

Page Load Overview
Language Analysis
Primary Language
Detection Details
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 8 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 2 | 216.58.206.78 | United States | AS15169GOOGLE |
| 2 | 142.250.184.211 | United States | AS15169GOOGLE |
| 2 | 35.190.93.146 | United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 2 | 142.250.184.232 | United States | AS15169GOOGLE |
| 2 | 34.98.105.146 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 2 | 34.98.91.45 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 2 | 172.67.74.218 | United States | AS13335CLOUDFLARENET |
| 2 | 104.18.28.155 | United States | AS13335CLOUDFLARENET |
| 2 | 13.107.246.44 | United States | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 144 | 69 | - | - |
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
Scan history not available
Unable to load historical scan data