Summary
This website contacted 85 IPs in 3 countries across 24 domains to perform 148 HTTP transactions. The main domain is njoag.gov and was registered NaN years ago.
Submitted URL: https://www.njoag.gov/about/divisions-and-offices/division-of-highway-traffic-safety-home/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate government site with no security concerns.
Safety Factors
Details
Bot Protection Detected
This website is protected by imperva bot protection. Our scanner was challenged or blocked during access.
Page Title
Division of Highway Traffic Safety - New Jersey Office of Attorney General
Scan Type
public
Language
English
Category
government public service
(72%)Domain Information
The domain 'www.njoag.gov' uses the United States government-restricted top-level domain (.gov) with subdomain 'www'. The core label 'njoag' covers 5 characters holding two vowels versus three consonants. Tokenizing the label suggests three words: n, jo, ag. Expect 2 characters per word on average. 'n' is most common in Afrikaans usage. Secondary signals appear in Albanian and Breton. Overall, 'www.njoag.gov' reads as Afrikaans.
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 |
|---|---|---|---|
| 79 | 45.60.154.149 | United States | AS19551INCAPSULA |
| 64 | 142.250.185.131 | United States | AS15169GOOGLE |
| 15 | 142.250.185.163 | United States | AS15169GOOGLE |
| 12 | 216.58.206.40 | United States | AS15169GOOGLE |
| 5 | 157.240.0.35 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 4 | 216.239.34.36 | United States | AS15169GOOGLE |
| 4 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 4 | 104.18.40.153 | United States | AS13335CLOUDFLARENET |
| 3 | 142.250.186.74 | United States | AS15169GOOGLE |
| 2 | 142.250.186.170 | United States | AS15169GOOGLE |
| 148 | 85 | - | - |
Detected Technologies16
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
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