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LIMITED DATA

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Security Scan Report: www.daltonga.gov

Submitted: Nov 18, 2025, 3:35:57 PMCompleted: Nov 18, 2025, 3:37:52 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is daltonga.gov and was registered NaN years ago.

Submitted URL: https://www.daltonga.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate government site with no detected threats.

Safety Factors
Well‑established government domain
No suspicious external links
No hidden or disguised form fields
No phishing or malware indicators
Domain age information unavailable

Details

Page Title

Dalton, GA Home Page | Dalton, GA

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

technology software

(85%)

Domain Information

Within the United States government-restricted top-level domain (.gov), 'www.daltonga.gov' is registered; it also runs on subdomain 'www'. The second-level label 'daltonga' is 8 characters long containing three vowels alongside 5 consonants. Segmentation suggests two words: dalton, ga. Average segment length settles at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.daltonga.gov/

Page Load Overview

30.09s
Total Load Time
3
HTTP Requests
1
Domains
N/A
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
Text Length:744 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software85% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
85%
documentation technical
66%
government public service
64%
adult content
54%
government
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3162.221.183.17Buffalo, New York, United States
AS16509AMAZON-02
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18D73841198E22033015781C9B964F72BEB92C21BDE071E44F7FC9B955BCAE09EC571AE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:jNAA5i0EWCKq6P68dFe3QxW+ygyW4JlIyZ4hgUus3cMp:ZAA5i0EKqKClN4AssMp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:80342:cAyoRD1kNQSmwYNxULVkBkgIERkxhFRiMxgAiJHjAMOQaUoBgACgQJFAIGDiSICABwBAlNyCFAAcEKhiyUIoDYAlw6RCRQyU

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:7ffff8e0e00000ff
Perceptual Hash:c3cb9c34e12f0d5a
Difference Hash:e300c1c3493e6530
Wavelet Hash:7dfff8e0c00000ff
Color Hash:#9479d2

Scan History

Scan history not available

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