Security Scan Report: elizabethcitync.gov

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Submitted: Oct 4, 2025, 10:04:14 AMCompleted: Oct 4, 2025, 10:05:03 AMpubliccompleted
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Summary

This website contacted 49 IPs in 1 country across 12 domains to perform 98 HTTP transactions. The main domain is elizabethcitync.gov and was registered NaN years ago.

Submitted URL: https://elizabethcitync.gov/

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

The site appears to be a legitimate municipal website with minimal risk.

Safety Factors
Established domain age
Official government TLD (.gov)
Absence of malicious Indicators of Compromise
No suspicious external links or redirects
Domain age information unavailable

Details

Page Title

Elizabeth City, NC

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(80%)

Domain Information

The domain name 'elizabethcitync.gov' uses the United States government-restricted top-level domain (.gov) with no subdomain. Count 15 characters in 'elizabethcitync' containing five vowels alongside ten consonants. It segments into 3 words: elizabeth, city, nc. Average segment length settles at 4 characters. Most frequently, 'elizabeth' shows up in English. You may catch it in Indonesian and Romanian as well. Taken together, it feels English.

Screenshot

Security scan screenshot of https://elizabethcitync.gov/

Page Load Overview

15.45s
Total Load Time
98
HTTP Requests
12
Domains
4.6 MB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:5,822 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service80% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
80%
technology software
66%
documentation technical
64%
government
48%
news/blog
20%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2104.17.24.14United States
AS13335CLOUDFLARENET
2172.217.16.195United States
AS15169GOOGLE
2142.250.185.170United States
AS15169GOOGLE
2172.217.16.202United States
AS15169GOOGLE
2142.250.186.35United States
AS15169GOOGLE
2104.18.40.68United States
AS13335CLOUDFLARENET
2142.250.186.110United States
AS15169GOOGLE
2142.250.185.68United States
AS15169GOOGLE
2172.64.147.188United States
AS13335CLOUDFLARENET
244.196.186.103Ashburn, Virginia, United States
AS14618AMAZON-AES
9849--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1826362A5C192093B0137A2C175A2BF5874D6034AD42315528FFD87EB4BE9EC0FC2A6DE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:ngo8EmbDrqy2UhbYgVZO1Oiarwa7ZaZD62BbHpgdZiwagbK9+RU0XUfp9NvOwaq5:yrq+wIZa1wTbKfWVYT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:71383:Ra4gQDByCxRAqVzpCISekUKh8BAEAQARgkFpoInBlQEBeISMcMCy0PAjEMgHXFQApgANhUiLFAJcDYAgsBZAgjK4kAEAHSGl

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:0000ffffff0f0600
Perceptual Hash:9c6a4311eaa52ded
Difference Hash:d3d8a72733bebed7
Wavelet Hash:0000ffffff0f0f00
Color Hash:#1f932f

Scan History

Scan history not available

Unable to load historical scan data