Security Scan Report: www.wakeforestnc.gov

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Submitted: Dec 24, 2025, 9:40:03 PMCompleted: Dec 24, 2025, 9:41:01 PMpubliccompleted
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Summary

This website contacted 9 IPs in 1 country across 11 domains to perform 60 HTTP transactions. The main domain is wakeforestnc.gov and was registered NaN years ago.

Submitted URL: https://www.wakeforestnc.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Official government domain (wakeforestnc.gov)
Well‑established domain with long registration history
No suspicious forms or data collection
Domain age information unavailable

Details

Page Title

Town of Wake Forest, NC

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(75%)

Domain Information

The domain 'www.wakeforestnc.gov' uses the United States government-restricted top-level domain (.gov), featuring subdomain 'www'. The second-level label 'wakeforestnc' is 12 characters long holding four vowels versus eight consonants. It segments into 3 words: wake, forest, nc. Median word length comes out to 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.wakeforestnc.gov/

Page Load Overview

8.99s
Total Load Time
66
HTTP Requests
12
Domains
3.5 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:35,998 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network75% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
75%
government public service
70%
news media journalism
69%
entertainment media
63%
government
48%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10135.237.219.200Chicago, Illinois, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
7104.17.24.14United States
AS13335CLOUDFLARENET
7184.169.233.136San Jose, California, United States
AS16509AMAZON-02
7216.239.32.36United States
718.66.147.22United States
735.71.131.137United States
AS16509AMAZON-02
765.8.101.109United States
AS16509AMAZON-02
7104.26.13.42United States
AS13335CLOUDFLARENET
7142.251.141.72United States
AS15169GOOGLE
669--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AAB4734256F0253A0287E3CB6521977CB6929587D624C142B7FCB32BEFE1D709A7382D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:MeaiV/IRkH3DOl0f6FCvsbfyVRnItF7l9SgzM1:MzHzM1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:499375:tAAwVBgARQViAQEIiFTwgchboCIIu2Y5gAJKhBoYiXAASCEHBAOKgCAtwsUQViCqCPxIBRMgz3CAYCkRAIoKxJYEABAI4IPQ

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:00c0c8000000ffff
Perceptual Hash:fa72f505860e5cd8
Difference Hash:ac891969fdc97b20
Wavelet Hash:40e0f81d0c20ffff
Color Hash:#1f9376

Scan History

Scan history not available

Unable to load historical scan data