Security Scan Report: townofaynor.gov

Submitted: Oct 28, 2025, 5:46:52 PMCompleted: Oct 28, 2025, 5:48:04 PMpubliccompleted
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Summary

This website contacted 18 IPs in 2 countries across 8 domains to perform 120 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 appears legitimate with no security concerns.

Safety Factors
Official government domain (.gov)
Established domain age (>1 year)
No malicious Indicators of Compromise detected
Standard contact form only
Domain age information unavailable

Details

Page Title

Town of Aynor - Town of Aynor Website

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(65%)

Domain Information

The domain 'townofaynor.gov' uses the United States government-restricted top-level domain (.gov) with no subdomain. Count 11 characters in 'townofaynor' with four vowels and seven consonants. It segments into 4 words: town, of, ayn, or. Median word length is 2.5 characters. 'town' most often appears in English. It also appears in Chinese (Pinyin) and Dutch contexts. Net impression: English phrase.

Screenshot

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

Page Load Overview

50.69s
Total Load Time
120
HTTP Requests
8
Domains
3.1 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:4,330 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content65% confidence
Type: spa
Method: ml+structural

All Detected Categories

adult content
65%
government public service
60%
entertainment media
53%
government
48%
corporate business
46%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1845.40.130.49United States
AS26496AS-26496-GO-DADDY-COM-LLC
6142.250.186.35United States
AS15169GOOGLE
6104.102.33.89Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
6104.20.35.239United States
AS13335CLOUDFLARENET
623.38.98.114Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
6216.58.206.68United States
AS15169GOOGLE
676.223.105.230United States
AS16509AMAZON-02
6142.250.185.99United States
AS15169GOOGLE
623.38.98.78Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
613.248.243.5United States
AS16509AMAZON-02
12018--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11644B8532144132982B38CEC54603A84238BE84AC6B1A271C5B86D79D7DDBD5B3BBF7D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:Ag4127mAsRor4zT8dWL//2Uh1NPgzv8hEhl5jcZ4RmWeQJLR3wCkG8l7Gv:GAsRor4zT8dWL//2Uh1NPg1r3z

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:261799:dSwJJoEImgIyEAECCwAkErgQMIgEBm5EIMERgFMiKUYKq1UISrLZAlkCrgSnYwEG5ohrUARZJPlQEEQOFTQUZCgSBBYASCYw

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:#40bfae

Scan History

Scan history not available

Unable to load historical scan data