Security Scan Report: sherrillny.gov

Redirected to: https://sherrillny.gov/

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Submitted: Oct 3, 2025, 5:56:21 PMCompleted: Oct 3, 2025, 5:57:08 PMpubliccompleted
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Summary

This website contacted 50 IPs in 2 countries across 14 domains to perform 56 HTTP transactions. The main domain is sherrillny.gov and was registered NaN years ago.

Submitted URL: http://sherrillny.gov/

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

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

The site appears to be a legitimate municipal page with low risk despite its recent registration.

Risk Factors
New domain (<90 days) increases suspicion
External form submission to a third‑party domain (list‑manage.com)
Safety Factors
Official city branding and consistent municipal content
No credential or payment collection
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

City of Sherrill, NY

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Screenshot

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

Page Load Overview

10.66s
Total Load Time
56
HTTP Requests
14
Domains
9.1 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:4,462 chars
Detector Agreement:100%

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7188.114.97.3United States
AS13335CLOUDFLARENET
1172.67.142.245United States
AS13335CLOUDFLARENET
1172.66.144.196United States
AS13335CLOUDFLARENET
1151.101.1.229San Francisco, California, United States
AS54113FASTLY
1216.239.34.36United States
AS15169GOOGLE
13.174.46.81United States
AS16509AMAZON-02
123.45.237.21Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
1142.250.186.131United States
AS15169GOOGLE
13.174.46.10United States
AS16509AMAZON-02
1104.21.27.152United States
AS13335CLOUDFLARENET
5650--

Detected Technologies10

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B9C2F92264E4063B022711C87A76630EB6D7AD2FD61BAE4075FD069D5FC3F4A8C23557

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:hq/OtPtHhnPrP+mwUy/28DeYvYLkWlXEEScJeeaScFf:hqWVHhnjWmXy/28DXwxlXEEScIy8f

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:27207:ABBqUIAFIJKcIhwqBA5IhjChQmEESynQaTmohiIVAQAI1AYXFLIAhgfgdUgEKAhBAbhFwpUAHSQA1qIAC0AkdVQIUIBMlQ1h

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:ffff1f0100007e04
Perceptual Hash:98bcd7436a073d43
Difference Hash:a5393535b1b8dcf4
Wavelet Hash:ffff1f0300007e83
Color Hash:#c58887

Scan History

Scan history not available

Unable to load historical scan data