Security Scan Report: caneadeatown.gov

Submitted: Dec 20, 2025, 6:05:37 AMCompleted: Dec 20, 2025, 6:06:13 AMpubliccompleted
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Summary

This website contacted 25 IPs in 2 countries across 15 domains to perform 177 HTTP transactions. The main domain is caneadeatown.gov and was registered NaN years ago.

Submitted URL: https://caneadeatown.gov/

AI Security Verdict

Safe Website

Confidence: 92%

2
Risk Score

Legitimate municipal website; many redirects but no malicious signs.

Risk Factors
Excessive number of redirects (62) may indicate misconfiguration
Safety Factors
Established domain age (>1 year)
Official .gov top‑level domain
No credential or payment collection forms
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Town Of Caneadea

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(70%)

Domain Information

Domain 'caneadeatown.gov' uses the United States government-restricted top-level domain (.gov) while skipping any subdomain. Count 12 characters in 'caneadeatown' holding 6 vowels versus six consonants. Splitting it apart reveals five words: cane, a, de, a, town. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

5.99s
Total Load Time
177
HTTP Requests
15
Domains
3.1 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:5,035 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service70% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
70%
government
48%
documentation technical
29%
forum
20%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
9195.181.175.41Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
7188.114.96.3United States
AS13335CLOUDFLARENET
7142.251.141.68United States
AS15169GOOGLE
7188.114.97.3United States
AS13335CLOUDFLARENET
7151.101.2.137United States
AS54113FASTLY
7212.102.56.178Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
7104.26.9.115United States
AS13335CLOUDFLARENET
7104.16.174.226United States
AS13335CLOUDFLARENET
734.212.219.86Boardman, Oregon, United States
AS16509AMAZON-02
750.112.145.68Boardman, Oregon, United States
AS16509AMAZON-02
17725--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T112B3C721E4EC283B112B13C4A1297B26A5DBA73BC30518E576FF57AB1FD6CA02C4F519

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:dC2AmPmBk1jHK11ojmO6b5CK/HfVc8+17zU:dC2AmCsHKh

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:111004:AY+EIEqLBLAoIQ4EqZIGBMQiYB7LAmCQeFwAJKYBUC2AKUCCI0JGoCBGISAa/AJAMIsGKEQBhYoeCcCUFAVAMQNQSgKtDRmI

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:581f1e1f0f3f1c00
Perceptual Hash:9a9c752a6955e661
Difference Hash:b0b078f1fbedf0d4
Wavelet Hash:401f1e1f0f1f1c3e
Color Hash:#32d22d

Scan History

Scan history not available

Unable to load historical scan data