Security Scan Report: stantontn.gov

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Submitted: Nov 5, 2025, 6:57:58 PMCompleted: Nov 5, 2025, 6:58:59 PMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 6 domains to perform 105 HTTP transactions. The main domain is stantontn.gov and was registered NaN years ago.

Submitted URL: https://stantontn.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no security concerns and appears to be a legitimate municipal website.

Safety Factors
Official government domain (.gov)
Domain age of 328 days indicates an established site
No suspicious forms or external links
Domain age information unavailable

Details

Page Title

Town of Stanton, TN – The official website of Stanton, Tennessee.

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

The domain 'stantontn.gov' uses the United States government-restricted top-level domain (.gov) without a subdomain. The core label 'stantontn' covers 9 characters with 2 vowels and 7 consonants. Tokenizing the label suggests two words: stanton, tn. Expect 4.5 characters per word on average. Most frequently, 'stanton' shows up in Indonesian. It also appears in Malay and Vietnamese contexts.

Screenshot

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

Page Load Overview

36.13s
Total Load Time
105
HTTP Requests
6
Domains
1.2 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:2,470 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: spa
Method: ml+structural

All Detected Categories

government
48%
legitimate website
26%
news/blog
20%

Detected Features

Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1566.235.200.146United States
AS13335CLOUDFLARENET
15142.250.186.42United States
AS15169GOOGLE
15192.0.77.2San Francisco, California, United States
AS2635AUTOMATTIC
15192.0.76.3San Francisco, California, United States
AS2635AUTOMATTIC
15216.58.206.67United States
AS15169GOOGLE
152a00:1450:4001:81d::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
152a00:1450:4001:81c::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
1057--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BEB309B26C08143A525B43CD6151B10E92FA81EBDA448D70B2FC5F9C97EAFE435A734B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:HuLdeseq6Qse2K+UB8pNO+HPenOCP8V84/cP3UXdTZqERFgK8mMiA5gjGQHg5WHB:bjrROaf3

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:116460:TGUMFIRmTFaxK2uIAQXAThROKeIwQFhAM5AxcggCbTRMJBQJCAbjypSAQVAgVCtIRUEAGglcIpjOGAgITJSNQlZWmIMKADkq

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:00818181c3ffffff
Perceptual Hash:b93dc6c754165331
Difference Hash:643b3b33130b2a21
Wavelet Hash:00818181c3ebffff
Color Hash:#87b2c5

Scan History

Scan history not available

Unable to load historical scan data