Security Scan Report: www.daltonga.gov

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Submitted: Nov 22, 2025, 2:08:29 AMCompleted: Nov 22, 2025, 2:10:01 AMpubliccompleted
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Summary

This website contacted 24 IPs in 2 countries across 9 domains to perform 87 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

The site shows no security concerns and appears to be a legitimate government page.

Safety Factors
Established government domain (.gov)
Long domain age (>7 years)
No suspicious forms or data collection
No Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Dalton, GA Home Page | Dalton, GA

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(84%)

Domain Information

You're looking at domain 'www.daltonga.gov' on the United States government-restricted top-level domain (.gov), featuring subdomain 'www'. The core label 'daltonga' covers 8 characters split between three vowels and five consonants. Tokenizing the label suggests 2 words: dalton, ga. The median word length lands at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.97s
Total Load Time
87
HTTP Requests
9
Domains
1.5 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
Text Length:5,994 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service84% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
84%
documentation technical
59%
government
48%
technology software
27%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
57162.221.183.17Buffalo, New York, United States
AS16509AMAZON-02
13104.18.28.155United States
AS13335CLOUDFLARENET
7172.217.23.99United States
AS15169GOOGLE
3172.66.171.172United States
AS13335CLOUDFLARENET
3104.18.29.155United States
AS13335CLOUDFLARENET
32a00:1450:4001:82b::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
32001:4860:4802:34::36United States
AS15169GOOGLE
335.82.201.249Boardman, Oregon, United States
AS16509AMAZON-02
32a00:1450:4001:81d::2008Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
32606:4700::6812:1c9bUnited States
AS13335CLOUDFLARENET
8724--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13C73941198E22033015781C9B964B727EB92C21BDE071E44F7FC9B955BCEE09EC5B1AE

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:4kAA5i0EWCKqvP68dFe3Mv1xWUeygyW4i1yWRqQ/Ry+gK:RAA5i0EKqNzbszUQZy+5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:79829:EBCsAKmgKwUZHLtRKUFmJkIBLy4gARAJao0QYwDQUSkJCLFggBQCmIZBUpC0EYGIqLEkTkCJEaogQohQwGcIMjpgMkSiCESA

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:7ffffce0c00000ff
Perceptual Hash:e3c39c2ce12b5e52
Difference Hash:e3c0d88b4d246532
Wavelet Hash:3dfffce0c00000ff
Color Hash:#b587c5

Scan History

Scan history not available

Unable to load historical scan data