Summary
This website contacted 43 IPs in 2 countries across 11 domains to perform 69 HTTP transactions. The main domain is leonianj.gov and was registered NaN years ago.
Submitted URL: https://www.leonianj.gov/
AI Security Verdict
Safe Website
Confidence: 95%
1
Risk Score
The site appears to be a legitimate municipal website with no phishing or scam indicators.
Safety Factors
Government .gov domain
Long registration history
No malicious Indicators of Compromise
No credential or payment collection
Domain age information unavailable
Details
Page Title
Leonia, NJ | Home
Scan Type
public
Language
🇺🇸
(80% confidence)English
Category
government
(95%)Screenshot

Page Load Overview
32.62s
Total Load Time
69
HTTP Requests
11
Domains
5.2 MB
Total Size
Language Analysis
Primary Language
🇺🇸English
Code: enConfidence:80%
Script:Latin
Direction:ltr
Detection Details
Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:7,726 chars
Detector Agreement:100%
Website Classification
Primary Category
government95% confidence
Type: spa
Method: structural
All Detected Categories
government
95%
Detected Features
Search
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 27 | 23.50.131.140 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 69.192.160.133 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 1 | 23.193.32.172 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 1 | 142.250.181.238 | United States | AS15169GOOGLE |
| 1 | 172.217.16.195 | United States | AS15169GOOGLE |
| 1 | 172.217.16.206 | United States | AS15169GOOGLE |
| 1 | 23.192.152.128 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 1 | 23.50.131.160 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 1 | 142.250.185.202 | United States | AS15169GOOGLE |
| 1 | 142.250.184.234 | United States | AS15169GOOGLE |
| 69 | 43 | - | - |
Detected Technologies6
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
T114B3C419B9A4503390939AD91FAE733430B59307C10A09D5FEEDA7D40F1EDB9EEA3609
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
1536:Zz9aqff0C08WcxkrwfJNBhe9NfO8ttK8tVR+7s:Zz9aqff0C0qkCPgNf7ttK6R+7s
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
sdhash:3:114684:YFgABBIDAloSEEPOoADjiQ3QCDFYvMAYOJhOQwIqAIAYlEkSQcMyJBGExBioIwMAHFUkb4cQIYA6AAooBiA0BiCGnUEx0tkJ
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
Average Hash:ff00fc7e107c8181
Perceptual Hash:f8d4af809eabc03c
Difference Hash:29b094e0b0d02b2b
Wavelet Hash:ff00fc7e587c8181
Color Hash:#79a1d2
Scan History
Scan history not available
Unable to load historical scan data