Security Scan Report: townofrandall.gov

Site favicon
Submitted: Dec 24, 2025, 3:42:02 AMCompleted: Dec 24, 2025, 3:42:54 AMpubliccompleted
Loading additional data...

Summary

This website contacted 33 IPs in 2 countries across 16 domains to perform 69 HTTP transactions. The main domain is townofrandall.gov and was registered NaN years ago.

Submitted URL: https://townofrandall.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Domain uses .gov TLD
No password or payment fields present
Domain age (259 days) is moderate and acceptable
Domain age information unavailable

Details

Page Title

Town of Randall

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

The domain 'townofrandall.gov' uses the United States government-restricted top-level domain (.gov) with no subdomain. The registrable portion 'townofrandall' spans 13 characters split between 4 vowels and nine consonants. Tokenizing the label suggests 3 words: town, of, randall. Average segment length settles at four characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

9.04s
Total Load Time
69
HTTP Requests
16
Domains
5.3 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:4,699 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government
48%
government public service
32%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5142.250.185.123United States
AS15169GOOGLE
279.127.211.90Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
2104.18.34.201United States
AS13335CLOUDFLARENET
2104.17.25.14United States
AS13335CLOUDFLARENET
2142.250.186.123United States
AS15169GOOGLE
2216.58.206.91United States
AS15169GOOGLE
252.11.192.57Boardman, Oregon, United States
AS16509AMAZON-02
2142.250.184.234United States
AS15169GOOGLE
2188.114.96.3United States
AS13335CLOUDFLARENET
279.127.216.203Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
6933--

Detected Technologies4

JQueryv3.6.3
100%
100%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F583FA32A0F0023B485390CC3AE57B4AE5A1D64BC75B0544B6FE6B888FD7CE1899B75C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:8Wzn1Q8hJMIIH8EjA8eY5JDs6WjWumtrMlaurHl5dZc0O4xS7sNaAN4G:1OAN4G

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:83501:ULusUIHBoCASOQEEEUBYoiQG6IAewKZJlSArEIY0UhuJOBDG6iaBBJxJopBKcNUATBZIxAZsLWBuSCEao8FBJCqQBACAtE5B

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:ff0100180000ffff
Perceptual Hash:aa13e6d4ccd474b4
Difference Hash:694b737373052727
Wavelet Hash:ff21011810c0ffff
Color Hash:#bf40b5

Scan History

Scan history not available

Unable to load historical scan data