Summary
This website contacted 22 IPs in 2 countries across 5 domains to perform 17 HTTP transactions. The main domain is ahoskienc.gov and was registered NaN years ago.
Submitted URL: https://www.ahoskienc.gov/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate government website with no security concerns.
Safety Factors
Details
Page Title
Official Website of the Town of Ahoskie North Carolina - Home Page
Scan Type
public
Language
English
Category
government public service
(54%)Domain Information
The domain 'www.ahoskienc.gov' uses the United States government-restricted top-level domain (.gov) with subdomain 'www'. The second-level label 'ahoskienc' is 9 characters long split between four vowels and five consonants. It segments into four words: a, ho, skien, c. Median word length comes out to 1.5 characters. The linguistic tilt is Hungarian for 'a'. You will also see it in Portuguese and Galician contexts.
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 |
|---|---|---|---|
| 17 | 172.64.147.188 | United States | AS13335CLOUDFLARENET |
| 0 | 143.204.98.36 | United States | AS16509AMAZON-02 |
| 0 | 151.101.130.137 | San Francisco, California, United States | AS54113FASTLY |
| 0 | 18.244.18.118 | United States | AS16509AMAZON-02 |
| 0 | 18.244.18.48 | United States | AS16509AMAZON-02 |
| 0 | 142.250.186.106 | United States | AS15169GOOGLE |
| 0 | 18.244.18.75 | United States | AS16509AMAZON-02 |
| 0 | 151.101.2.137 | San Francisco, California, United States | AS54113FASTLY |
| 0 | 18.244.18.109 | United States | AS16509AMAZON-02 |
| 0 | 2a00:1450:4001:81c::200a | Frankfurt am Main, Hesse, Germany | AS15169GOOGLE |
| 17 | 22 | - | - |
Detected Technologies9
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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