Security Scan Report: townofaynor.gov

Submitted: Nov 14, 2025, 5:11:59 PMCompleted: Nov 14, 2025, 5:13:20 PMpubliccompleted
Loading additional data...

Summary

This website contacted 10 IPs in 0 countries across 3 domains to perform 106 HTTP transactions. The main domain is townofaynor.gov and was registered NaN years ago.

Submitted URL: https://townofaynor.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no suspicious activity and appears to be a legitimate government website.

Safety Factors
Domain uses .gov TLD indicating official government entity
Domain age is 441 days (>1 year) indicating established presence
No malicious Indicators of Compromise matches found
No credential or payment forms present
Content appears to be standard municipal information
Domain age information unavailable

Details

Page Title

Town of Aynor - Town of Aynor Website

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(57%)

Domain Information

Within the United States government-restricted top-level domain (.gov), 'townofaynor.gov' is registered while skipping any subdomain. Its registrable label 'townofaynor' stretches across 11 characters containing 4 vowels alongside 7 consonants. Word splitting yields 4 words: town, of, ayn, or. Median word length is 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

44.39s
Total Load Time
106
HTTP Requests
3
Domains
2.3 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-SG
Text Length:4,744 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content57% confidence
Type: spa
Method: ml+structural

All Detected Categories

adult content
57%
government
48%
education learning
47%
government public service
42%
news media journalism
39%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10104.102.33.89UnknownUnknown
1013.248.243.5UnknownUnknown
102.21.239.4UnknownUnknown
102.21.239.16UnknownUnknown
1023.207.210.143UnknownUnknown
1023.222.34.36UnknownUnknown
1023.207.210.148UnknownUnknown
102a02:26f0:3500:2aa::228bUnknownUnknown
1076.223.105.230UnknownUnknown
102a02:26f0:3500:2ba::228bUnknownUnknown
10610--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AF54A65716441269C273C4DC1460398023CBE89BDBA1A37185A82D3EEBD9BD592B3F7E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:Rg41ZfcCxSnu/JovWlo2tMKXnfx/i8XEwbES7Wj8t+muJrpKjT7hJtcn6Vz7GF:FcCxSnu/JovWlxtMKXnfx/P7inn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:283546:CKShAAAwFAGXzCEISpDBAkDUNWoCI9AJiioxEQIgIgvOIIgDDUUBe3JALFQA10ZWAA6BIAgSuyEMUoEBYCgQLB1LppQggwEI

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:e0e9e1e0210bbbfc
Perceptual Hash:ebe2d20f16163a1e
Difference Hash:cb9191035353538d
Wavelet Hash:e0e9e1e0210bbbfc
Color Hash:#38d22d

Scan History

Scan history not available

Unable to load historical scan data