Summary
This website contacted 71 IPs in 2 countries across 19 domains to perform 117 HTTP transactions. The main domain is ncagr.gov.
Submitted URL: https://www.ncagr.gov/divisions/nc-forest-service/nc-forest-products
AI Security Verdict
Safe Website
Confidence: 95%
The site is a legitimate government page with no security concerns.
Safety Factors
Details
Page Title
N.C. Forest Service - North Carolina Forest Products | NC Agriculture
Scan Type
public
Language
English
Category
government
(95%)Domain Information
You're looking at domain 'www.ncagr.gov' on the United States government-restricted top-level domain (.gov), featuring subdomain 'www'. The core label 'ncagr' covers 5 characters holding one vowel versus four consonants. Splitting it apart reveals 2 words: nca, gr. Expect 2.5 characters per word on average. 'inca' most strongly signals Romanian. You may catch it in Latvian and English as well.
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 |
|---|---|---|---|
| 47 | 23.35.236.237 | Frankfurt am Main, Hesse, Germany | AS16625AKAMAI-AS |
| 1 | 57.144.248.128 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 1 | 35.186.224.24 | United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 1 | 142.250.186.134 | United States | AS15169GOOGLE |
| 1 | 34.117.162.98 | Kansas City, Missouri, United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 1 | 142.250.185.226 | United States | AS15169GOOGLE |
| 1 | 57.144.248.1 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 1 | 142.250.186.35 | United States | AS15169GOOGLE |
| 1 | 18.172.114.101 | United States | AS16509AMAZON-02 |
| 1 | 98.88.227.126 | Ashburn, Virginia, United States | AS14618AMAZON-AES |
| 117 | 71 | - | - |
Detected Technologies15
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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