Security Scan Report: townofcanajoharie.gov

Redirected to: https://townofcanajoharie.gov/

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Submitted: Nov 27, 2025, 7:41:01 AMCompleted: Nov 27, 2025, 7:42:31 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

Confirmed Scam

Confidence: 95%

10
Risk Score

High‑risk phishing site impersonating Microsoft; confirmed scam.

Risk Factors
Brand impersonation on a newly registered, unranked domain
Domain age < 90 days combined with brand mimicry
Unranked domain presenting Microsoft branding
Domain age information unavailable

Details

Page Title

Microsoft Azure Web App - Error 404

Scan Type

public

Language

🇺🇸

English

(66% confidence)

Category

technology software

(55%)

Domain Information

You're looking at domain 'townofcanajoharie.gov' on the United States government-restricted top-level domain (.gov) with no subdomain. The core label 'townofcanajoharie' covers 17 characters split between eight vowels and nine consonants. Segmentation suggests six words: town, of, can, a, johari, e. Expect 2.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

0.70s
Total Load Time
3
HTTP Requests
1
Domains
5 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:66%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:66%
Script Type:Latin
Text Length:403 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software55% confidence
Type: static
Method: ml+structural

All Detected Categories

technology software
55%
government
48%
documentation technical
42%

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

T1EA51636B86F702005A02A4581BD727503A25E18B520ACD1C7E9CE36CEFC2AE18DF73DC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:CBMDLtCF8Q6T1Jc7AQ6/LHCNRDJ1Vh/bl9NVl:CBqc4T1Jol6THOJJ1hH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:2579:ASBAAACAAAgIAAQAQAAQAgFkAAAAARIAAgAhARAAAAAQEAOEBGAAEAIIkIAgIigDhgAIAUAEaABAkQAAAAEAEAAICIAAAAAC

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:010000fc00ffc1ff
Perceptual Hash:aa56ad10fb52ad62
Difference Hash:0101010989958583
Wavelet Hash:010101fd057ff1ff
Color Hash:#b36ce0

Scan History

Scan history not available

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