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Security Scan Report: www.wakeforestnc.gov

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Submitted: Oct 7, 2025, 12:06:12 PMCompleted: Oct 7, 2025, 12:07:28 PMpubliccompleted
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Summary

This website contacted 22 IPs in 2 countries across 7 domains to perform 52 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

Legitimate municipal website with no security concerns.

Safety Factors
Established government domain
Long domain age (>20 years)
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

(81%)

Domain Information

Domain 'www.wakeforestnc.gov' uses the United States government-restricted top-level domain (.gov) and includes subdomain 'www'. The core label 'wakeforestnc' covers 12 characters containing 4 vowels alongside 8 consonants. Word splitting yields three words: wake, forest, nc. Expect 4 characters per word on average. Most frequently, 'wake' shows up in English. You will also see it in Vietnamese and Chinese (Zhuyin) contexts.

Screenshot

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

Page Load Overview

16.95s
Total Load Time
52
HTTP Requests
7
Domains
3.8 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:35,995 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network81% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
81%
government public service
80%
news media journalism
74%
entertainment media
72%
government
48%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10172.217.18.8United States
AS15169GOOGLE
2104.17.24.14United States
AS13335CLOUDFLARENET
2157.240.201.15Amsterdam, North Holland, Netherlands
AS32934FACEBOOK
2216.239.34.36United States
AS15169GOOGLE
2135.237.219.200Chicago, Illinois, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
2104.17.25.14United States
AS13335CLOUDFLARENET
2104.26.12.42United States
AS13335CLOUDFLARENET
2216.239.32.36United States
AS15169GOOGLE
257.144.222.128Amsterdam, North Holland, Netherlands
AS32934FACEBOOK
22606:4700:20::681a:d2aUnknownUnknown
5222--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T130B4734256F0253A0297E3CB6121977CB6929587D624C142B7FCB32BEFE1D709A7382D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:lAaigGvYWHwuvXD7eSQvsbfyVRnItF78//Mn:l4SMn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:495770:MAwEQAChAQoQTyBCiKCaigQYEUBgWwEwWAFAPhMSwME4PoAkJmEsMsIhQEICQmAyO7CmuIUhCWCaAIgQwgIWIJ4AoUFBJRQt

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:000000300000ffff
Perceptual Hash:cc53bf3184cc68a7
Difference Hash:9c48e3a0aa936830
Wavelet Hash:c60830785a40ffff
Color Hash:#4d2d86

Other Hashes

Crop Resistant:9c48e3a0aa936830,1f0f4783c974ded6,4352792824b493a7,3979d8b4dcf27272,bc184aa3a1aa9302

Scan History

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