Security Scan Report: townofcanajoharie.gov

Redirected to:
https://townofcanajoharie.gov/
Submitted: Oct 17, 2025, 2:55:49 AMCompleted: Oct 17, 2025, 2:59:10 AMpubliccompleted
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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 townofcanajoharie.gov and was registered NaN years ago.

Submitted URL: http://townofcanajoharie.gov/

Effective URL: https://townofcanajoharie.gov/Redirected

AI Security Verdict

High Risk

Confidence: 88%

9
Risk Score

Site appears to be a brand‑impersonation phishing placeholder; do not trust.

Risk Factors
Brand impersonation on an unranked, newly registered domain
Very new domain (<30 days) increases phishing likelihood
404 error page with no legitimate content
Domain age information unavailable

Details

Page Title

Microsoft Azure Web App - Error 404

Scan Type

public

Language

🇺🇸

English

(50% confidence)

Category

government

(95%)

Domain Information

Domain 'townofcanajoharie.gov' uses the United States government-restricted top-level domain (.gov) without a subdomain. The registrable portion 'townofcanajoharie' spans 17 characters holding eight vowels versus 9 consonants. Word splitting yields six words: town, of, can, a, johari, e. The median word length lands at 2.5 characters. Most frequently, 'town' shows up in Italian. It also appears in Hungarian and Galician contexts. Net impression: Italian phrase.

Screenshot

Security scan screenshot of http://townofcanajoharie.gov/

Page Load Overview

5.69s
Total Load Time
3
HTTP Requests
1
Domains
5 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:50%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:50%
Script Type:Latin
Text Length:403 chars
Detector Agreement:100%

Website Classification

Primary Category

government95% confidence
Type: static
Method: structural

All Detected Categories

government
95%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
223.101.118.145Des Moines, Iowa, United States
AS8075MICROSOFT-CORP-MSN-AS-BLOCK
31--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15951436B86B702005A4294591BD767543A25E18B5209CD1C7E9CE36CDFC29E18DF63DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:uBMDLtCF8Q6T1Jc7AQ6/LHCNRDJ1Vh/bl9NVl:uBqc4T1Jol6THOJJ1hH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2564:ABAAABBAAAAAAAFgEgEAURAhACCAIAACAAIRJCCgRIASgAAMACIAEYAAAwAgAQAKCAAAAAAAAAAgAAAgAAAAAQAKQGQAAIAA

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:N/A
Perceptual Hash:N/A
Difference Hash:N/A
Wavelet Hash:N/A
Color Hash:N/A

Other Hashes

Crop Resistant:N/A

Scan History

Scan history not available

Unable to load historical scan data