Security Scan Report: vidaliaga.gov

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Submitted: Nov 5, 2025, 1:59:02 AMCompleted: Nov 5, 2025, 2:00:26 AMpubliccompleted
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Summary

This website contacted 20 IPs in 2 countries across 12 domains to perform 61 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 government website with no security concerns.

Safety Factors
Established government domain (vidaliaga.gov)
Absence of credential or payment collection forms
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Home | Vidalia Georiga

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(95%)

Domain Information

Within the United States government-restricted top-level domain (.gov), 'vidaliaga.gov' is registered. The core label 'vidaliaga' covers 9 characters containing 5 vowels alongside four consonants. Breaking it apart gives 3 words: vidal, i, aga. Median word length comes out to three characters. 'vidal' is most common in English usage. Secondary signals appear in Chinese (Pinyin) and Bosnian. Overall, 'vidaliaga.gov' reads as English.

Screenshot

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

Page Load Overview

55.02s
Total Load Time
61
HTTP Requests
12
Domains
2.6 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
4162.159.128.61United States
AS13335CLOUDFLARENET
3146.75.120.217Frankfurt am Main, Hesse, Germany
AS54113FASTLY
3185.111.111.156Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
3142.250.181.234United States
AS15169GOOGLE
33.141.221.21Columbus, Ohio, United States
AS16509AMAZON-02
3216.58.206.67United States
AS15169GOOGLE
3188.114.97.3United States
AS13335CLOUDFLARENET
354.218.35.203Boardman, Oregon, United States
AS16509AMAZON-02
3142.250.185.138United States
AS15169GOOGLE
3155.138.222.161Atlanta, Georgia, United States
AS20473AS-VULTR
6120--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AC83747182D5707606AA41F1D1BB7B179E5A8503E6578A40B0BD87C89FC4EE32CE760F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:vzapXDpglB1srVXzmXT3FSyTOdOP1k/MoYV0X/az8hhTh9R3zfJm2iftYTv+LHUv:vWmXrFSyTOdOP1kUoYV0X/az8hhTh9RN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:87224:JAEh7k4kAIoaKCDLoGllEICxhIACkqCNAaAdAAYTzIBlODKFlApARSfpgIJdEAERHGVEtQocAQgSArzZTAgQNUBIngHRzCgA

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:1f1b3901180101ff
Perceptual Hash:aa15a73fd523d00b
Difference Hash:df73fbebb3bb4bbb
Wavelet Hash:3f1f7919190101ff
Color Hash:#4c783a

Scan History

Scan history not available

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