Security Scan Report: vidaliaga.gov

Submitted: Oct 10, 2025, 6:01:17 AMCompleted: Oct 10, 2025, 6:02:07 AMpubliccompleted
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Summary

This website contacted 22 IPs in 2 countries across 10 domains to perform 54 HTTP transactions. The main domain is vidaliaga.gov and was registered NaN years ago.

Submitted URL: https://vidaliaga.gov/

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

The site appears to be a legitimate Vidalia, GA government website.

Safety Factors
Official government domain (.gov)
Long‑standing domain registration
Absence of suspicious forms or external links
Consistent municipal branding
Domain age information unavailable

Details

Page Title

Home | Vidalia Georiga

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(95%)

Domain Information

The domain name 'vidaliaga.gov' uses the United States government-restricted top-level domain (.gov). The registrable portion 'vidaliaga' spans 9 characters containing 5 vowels alongside four consonants. Segmentation suggests three words: vidal, i, aga. Median word length is three characters. 'vidal' most strongly signals English. Usage also turns up in Chinese (Pinyin) and Bosnian contexts.

Screenshot

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

Page Load Overview

30.86s
Total Load Time
54
HTTP Requests
10
Domains
2.0 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-US
Text Length:3,871 chars
Detector Agreement:100%

Website Classification

Primary Category

government95% confidence
Type: spa
Method: structural

All Detected Categories

government
95%
corporate
70%
news/blog
40%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1254.218.35.203Boardman, Oregon, United States
AS16509AMAZON-02
2188.114.97.3United States
AS13335CLOUDFLARENET
2142.250.186.106United States
AS15169GOOGLE
2162.159.138.60United States
AS13335CLOUDFLARENET
2142.250.185.67United States
AS15169GOOGLE
2185.111.111.158Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
23.22.23.33Columbus, Ohio, United States
AS16509AMAZON-02
2142.250.184.234United States
AS15169GOOGLE
2155.138.222.161Atlanta, Georgia, United States
AS20473AS-VULTR
23.20.246.229Columbus, Ohio, United States
AS16509AMAZON-02
5422--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BA83747182D5707606AA41F0D2BB7B179E5A9503E6578A40B0BD87C89FC4EE32CE760F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:dlapXM2BlB1s/RXz8XT37Sy0OdOP1k/MoYV0XMaz8hhTh9R3zfJm2iftYTv+LHUE:dUrXr7Sy0OdOP1kUoYV0XMaz8hhTh9Ri

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:87343:qIJHWBgyGACADoUBpZGUEIAsAFCAsHBUYGQNjETQxIHAriZxMAocELFBLOwEgWByxeEC6E5QEVAFj7EwJjEEAhQKA04iKCEA

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:07036301010101ff
Perceptual Hash:aa02af39d52bd42b
Difference Hash:dfffcfcfbf9f4f0f
Wavelet Hash:0f0f7727030303ff
Color Hash:#53ac8d

Scan History

Scan history not available

Unable to load historical scan data