Security Scan Report: saddlerockny.gov

Submitted: Nov 21, 2025, 10:09:54 AMCompleted: Nov 21, 2025, 10:14:10 AMpubliccompleted
Loading additional data...

Summary

This website contacted 19 IPs in 2 countries across 9 domains to perform 51 HTTP transactions. The main domain is saddlerockny.gov and was registered NaN years ago.

Submitted URL: https://saddlerockny.gov/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site shows no security concerns and appears to be a legitimate municipal website.

Safety Factors
Established government domain (saddlerockny.gov)
Well‑known public website with no suspicious redirects
No credential‑harvesting or payment collection forms
Domain age information unavailable

Details

Page Title

Village of Saddle Rock – Village of Saddle Rock

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(48%)

Domain Information

Within the United States government-restricted top-level domain (.gov), 'saddlerockny.gov' is registered. The second-level label 'saddlerockny' is 12 characters long split between 3 vowels and 9 consonants. Tokenizing the label suggests three words: saddle, rock, ny. Median word length comes out to four characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

2.40s
Total Load Time
51
HTTP Requests
9
Domains
713 KB
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-US
Text Length:1,783 chars
Detector Agreement:100%

Website Classification

Primary Category

government48% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government
48%
government public service
36%

Detected Features

Search
Articles
Comments

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
27162.247.76.105Detroit, Michigan, United States
AS22878ASACENET1
7185.111.111.155Frankfurt am Main, Hesse, Germany
AS212238Datacamp Limited
3146.75.120.157Frankfurt am Main, Hesse, Germany
AS54113FASTLY
344.225.48.94Boardman, Oregon, United States
AS16509AMAZON-02
2172.66.0.227United States
AS13335CLOUDFLARENET
244.252.163.227Boardman, Oregon, United States
AS16509AMAZON-02
2138.199.37.229Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
2142.250.185.232United States
AS15169GOOGLE
216.146.166.18United States
AS16509AMAZON-02
2172.217.18.14United States
AS15169GOOGLE
5119--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T154132CB3546C083B375B17D4F095B31DAAA9A106DF01AAA275FCF2A887D4EF511B230D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:h909Zdapzl06Gqr1QQVyOOOxYONVo9yD8ATzgLatLh3pVfAept:hqapJ06Gqr1QMyOVxYqo9yD8PLatLh3f

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:44574:SFwC4OBEBMo86OAIs0ASCAgEQBEjAooghiLRKDopEEBEYM0ESLABLGCpSoR5KJwgAGEydAIjxpGgBMDBjUKccdiJBySAJVAA

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:c3c7c7e7c7c7ffff
Perceptual Hash:b26dcd38c763382c
Difference Hash:178c8ccc8d9d8cf8
Wavelet Hash:808686c6c7c7477f
Color Hash:#d22dac

Scan History

Scan history not available

Unable to load historical scan data