Security Scan Report: www.wakeforestnc.gov

Submitted: Nov 20, 2025, 9:48:45 PMCompleted: Nov 20, 2025, 9:50:34 PMpubliccompleted
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Summary

This website contacted 46 IPs in 3 countries across 11 domains to perform 62 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: 92%

1
Risk Score

The site appears to be a legitimate municipal website with no security concerns.

Safety Factors
Well‑established .gov domain
No credential or payment collection forms
No malicious Indicators of Compromise
No external links or redirects
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

Within the United States government-restricted top-level domain (.gov), 'www.wakeforestnc.gov' is registered; it also runs on subdomain 'www'. The core label 'wakeforestnc' covers 12 characters holding 4 vowels versus eight consonants. Tokenizing the label suggests three words: wake, forest, nc. The median word length lands at four characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.82s
Total Load Time
62
HTTP Requests
11
Domains
3.0 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:36,183 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
42135.237.219.200Chicago, Illinois, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
415.197.193.217Seattle, Washington, United States
AS16509AMAZON-02
357.144.222.128Amsterdam, North Holland, Netherlands
AS32934FACEBOOK
2104.17.25.14United States
AS13335CLOUDFLARENET
2216.239.32.36United States
AS15169GOOGLE
250.18.183.107San Jose, California, United States
AS16509AMAZON-02
1104.26.13.42United States
AS13335CLOUDFLARENET
118.66.147.116United States
AS16509AMAZON-02
1172.217.18.8United States
AS15169GOOGLE
13.33.220.150Seattle, Washington, United States
AS16509AMAZON-02
6246--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E1B4744256F0253A0297E3CB6121977CB6929587D624C142B7FCB32BEFE1D709A7382D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:oAaig/IYNHFpvjrWlSQvsbfyVRnItF78/tMn:oyJMn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:495516:ES6BmTGzcJGVBAag83CEsIjiggSMggBpQuMzIxQS7xQMAJCSVKRmUgggzKM6GEQFScACKYIAYiZeAjIDZmEiK3gOQEehCIFD

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:400400000400ffff
Perceptual Hash:9a52ec619d496997
Difference Hash:a22d6969e999f920
Wavelet Hash:ff1504040d00ffff
Color Hash:#867b2d

Scan History

Scan history not available

Unable to load historical scan data