Security Scan Report: hamptonsc.gov

Submitted: Nov 19, 2025, 9:57:49 PMCompleted: Nov 19, 2025, 10:00:24 PMpubliccompleted
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Summary

This website contacted 23 IPs in 3 countries across 10 domains to perform 107 HTTP transactions. The main domain is hamptonsc.gov and was registered NaN years ago.

Submitted URL: https://hamptonsc.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Established government domain (hamptonsc.gov)
No suspicious forms or data collection
No external links or redirects
Domain age information unavailable

Details

Page Title

Town of Hampton, SC

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(49%)

Domain Information

You're looking at domain 'hamptonsc.gov' on the United States government-restricted top-level domain (.gov) and has no subdomain. The second-level label 'hamptonsc' is 9 characters long holding 2 vowels versus 7 consonants. It segments into two words: hampton, sc. Expect 4.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.67s
Total Load Time
107
HTTP Requests
10
Domains
2.4 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:6,731 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service49% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
49%
government
48%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
80135.237.219.200Chicago, Illinois, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
10104.21.27.152United States
AS13335CLOUDFLARENET
4172.67.142.245United States
AS13335CLOUDFLARENET
4216.239.34.36United States
AS15169GOOGLE
4104.17.25.14United States
AS13335CLOUDFLARENET
42606:4700:3036::6815:1b98United States
AS13335CLOUDFLARENET
42a03:2880:f058:10c:face:b00c:0:3London, England, United Kingdom
AS32934FACEBOOK
42606:4700:3037::ac43:8ef5United States
AS13335CLOUDFLARENET
42a00:1450:4001:829::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
42a00:1450:4001:810::2008Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
10723--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CE83086215A0213A060392C263BC672DE6B5DDA3E6064549F2BD635D8FC3FF14B6362F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:phMVM6MVM+MVMfMVMnMVMsMVMUMVMvsptIL2MkMLjSf5gPVBlr4F13bry/sTni1V:pB2MkMLjSf5Jjm0yJN11J/9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:82416:IGKAYiISEFPIMSMFASIIDD4U44UeACZHICiAlhIADUKUEIUQgAEoECExmlZIS4D2oUBishkQAkHkYcEEJKACsOMCGgYEIBr/

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:ff2f07000000ffff
Perceptual Hash:b311834aecfc34bc
Difference Hash:6dd91c0d2ded6848
Wavelet Hash:ff2f07000000ffff
Color Hash:#68862d

Scan History

Scan history not available

Unable to load historical scan data