Security Scan Report: vidaliaga.gov

Submitted: Dec 11, 2025, 4:36:04 AMCompleted: Dec 11, 2025, 4:36:32 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: 92%

1
Risk Score

Site appears legitimate with no security concerns

Safety Factors
Official .gov top‑level domain
Long‑standing registration date
Absence of suspicious forms or external links
Domain age information unavailable

Details

Page Title

Home | Vidalia Georiga

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(48%)

Domain Information

You're looking at domain 'vidaliaga.gov' on the United States government-restricted top-level domain (.gov). The second-level label 'vidaliaga' is 9 characters long with five vowels and 4 consonants. Segmentation suggests three words: vidal, i, aga. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

11.32s
Total Load Time
61
HTTP Requests
12
Domains
2.8 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
4155.138.222.161Atlanta, Georgia, United States
AS20473AS-VULTR
33.133.178.126Columbus, Ohio, United States
AS16509AMAZON-02
354.212.5.191Boardman, Oregon, United States
AS16509AMAZON-02
3185.111.111.158Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
3142.251.141.106United States
AS15169GOOGLE
3188.114.96.3United States
AS13335CLOUDFLARENET
3142.250.185.234United States
AS15169GOOGLE
3216.58.206.35United States
AS15169GOOGLE
3146.75.120.217Frankfurt am Main, Hesse, Germany
AS54113FASTLY
3162.159.138.60United States
AS13335CLOUDFLARENET
6120--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EB93847182D5707606AA40F5D1BB7B169E9A9503E6578B00B0BD87C89FC4EE32CE760F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:khDpglB1srVCzyXT3FSydhOdOP1k/MoYV0XMaz8hhTh9R3zfJm2iftYTv+LHUhJg:kbXrFSyLOdOP1kUoYV0XMaz8hhTh9R32

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:89297:WC3bCQICGAkKaAEjQYgiegBQwASCVGAAs1QqIhhQcMGJ4JJwAEFYtQGSyJ4LwOM7VAskVoAeGBgatiF0BBAQVNACRqI2RNGg

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:#1f934e

Scan History

Scan history not available

Unable to load historical scan data