Security Scan Report: vidaliaga.gov

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Submitted: Dec 24, 2025, 8:26:04 PMCompleted: Dec 24, 2025, 8:26:38 PMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 8 domains to perform 42 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: 95%

0
Risk Score

Legitimate municipal website with no security concerns.

Safety Factors
Established government domain
No suspicious forms or data collection
No known malicious Indicators of Compromise
Content appears to be standard municipal information
Domain age information unavailable

Details

Page Title

Home | Vidalia Georiga

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(48%)

Domain Information

The domain 'vidaliaga.gov' uses the United States government-restricted top-level domain (.gov) with no subdomain. Count 9 characters in 'vidaliaga' with 5 vowels and 4 consonants. Splitting it apart reveals three words: vidal, i, aga. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

9.28s
Total Load Time
62
HTTP Requests
12
Domains
133.4 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-US
Text Length:3,893 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service48% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
48%
government
48%
corporate
35%
news/blog
20%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14185.111.111.154Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
8142.250.185.227United States
AS15169GOOGLE
854.212.5.191Boardman, Oregon, United States
AS16509AMAZON-02
8142.250.186.138United States
AS15169GOOGLE
83.18.236.200Columbus, Ohio, United States
AS16509AMAZON-02
8188.114.96.3United States
AS13335CLOUDFLARENET
8155.138.222.161Atlanta, Georgia, United States
AS20473AS-VULTR
627--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EF93847182D5707606AA40F5D1BB7B169E5A9503E6578B00B0BD87C89FC4EE32CE760F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ghDpglB1srVCzyXT3FSySyOdOP1k/MoYV0X/az8hhTh9R3zfJm2iftYTv+LHUhJC:gbXrFSyBOdOP1kUoYV0X/az8hhTh9R34

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:89157:GHVEGIQRYgi+wiGBLLoAEYAgAHYKC6kIgAHTlERzOEOVgJEkAgIuUeQYMFpUgCiM4kekicQzIBW6ijEII9wQVEVDAlkkCQAA

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:1f1b1901180101ff
Perceptual Hash:aa15a72bd523d42b
Difference Hash:df73f3ebb3b3cbbb
Wavelet Hash:7f1f1d19190101ff
Color Hash:#79d2b6

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data