Security Scan Report: www.townoffortannny.gov

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Submitted: Oct 22, 2025, 3:16:55 AMCompleted: Oct 22, 2025, 3:19:56 AMpubliccompleted
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Summary

This website contacted 47 IPs in 2 countries across 10 domains to perform 51 HTTP transactions. The main domain is townoffortannny.gov and was registered NaN years ago.

Submitted URL: https://www.townoffortannny.gov/

AI Security Verdict

High Risk

Confidence: 88%

8
Risk Score

Site shows Stripe branding on an unrelated, newly‑registered domain, indicating a high‑risk phishing attempt.

Risk Factors
Brand impersonation / typosquatting
Recent domain registration (<180 days)
Unranked domain in Cisco Umbrella top 1M
Domain age information unavailable

Details

Page Title

TOWN OF FORT ANN - The official municipal website for the Town of Fort Ann, New York

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(95%)

Domain Information

Within the United States government-restricted top-level domain (.gov), 'www.townoffortannny.gov' is registered, featuring subdomain 'www'. The second-level label 'townoffortannny' is 15 characters long split between four vowels and 11 consonants. Tokenizing the label suggests 5 words: town, of, fort, ann, ny. Median word length is three characters. 'town' most strongly signals Chinese (Pinyin). You will also see it in English and Dutch contexts.

Screenshot

Security scan screenshot of https://www.townoffortannny.gov/

Page Load Overview

4.11s
Total Load Time
51
HTTP Requests
10
Domains
2.0 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:4,665 chars
Detector Agreement:100%

Website Classification

Primary Category

government95% confidence
Type: spa
Method: structural

All Detected Categories

government
95%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
20146.75.121.46Frankfurt am Main, Hesse, Germany
AS54113FASTLY
14199.34.228.71United States
AS27647WEEBLY
8195.181.170.19Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
5216.239.32.36United States
AS15169GOOGLE
2142.250.185.110United States
AS15169GOOGLE
235.163.146.243Boardman, Oregon, United States
AS16509AMAZON-02
1216.239.34.36United States
AS15169GOOGLE
144.240.111.15Boardman, Oregon, United States
AS16509AMAZON-02
1142.250.185.232United States
AS15169GOOGLE
144.225.85.195Boardman, Oregon, United States
AS16509AMAZON-02
5147--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11B53B6C4D1E9A936432302C9F364AF9F77BBC654EF12184462F95323AFC9E91636049E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:CIRIOITIwIgIiKZgNDfIwIGI5IVJ7SkIRIOITIwIgIiKZgNDfIwIGI5IVJ7SL1kl:B1kqex6lq9ysUjkZ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:64851:GGZEMoGhjQIQhA4pBFAQhOCzAYKBRCiAYKlAASByFExQxbklNP+K4/PFweoAgMBAOiAFFMlCRGREjGQAQQkGIgSdQgygMAzB

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:0000e2c3cfdfffff
Perceptual Hash:b056461ab8ec9b9b
Difference Hash:7c6416169a9e1696
Wavelet Hash:000000c3cfcfffff
Color Hash:#9e87c5

Scan History

Scan history not available

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