Security Scan Report: scott-ny.gov

Submitted: Nov 27, 2025, 8:23:03 PMCompleted: Nov 27, 2025, 8:26:06 PMpubliccompleted
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Summary

This website contacted 15 IPs in 2 countries across 1 domain to perform 3 HTTP transactions. The main domain is scott-ny.gov and was registered NaN years ago.

Submitted URL: https://scott-ny.gov/

AI Security Verdict

Moderate Risk

Confidence: 68%

4
Risk Score

New .gov site shows no malicious signs but moderate risk due to age and low ranking.

Risk Factors
Domain age less than 180 days
Domain not ranked in Cisco Umbrella top 1 M
Safety Factors
No forms collecting passwords or payment data
No external links or redirects
Uses .gov TLD, which is typically reserved for government entities
No malicious Indicators of Compromise matches found
Domain age information unavailable

Details

Page Title

Home

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government

(95%)

Domain Information

Domain 'scott-ny.gov' uses the United States government-restricted top-level domain (.gov). The core label 'scott-ny' covers 8 characters split between 1 vowel and 6 consonants, notching 1 hyphen. Tokenizing the label suggests 2 words: scott, ny. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://scott-ny.gov/

Page Load Overview

3.30s
Total Load Time
42
HTTP Requests
6
Domains
2.4 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-GB
Text Length:5,145 chars
Detector Agreement:100%

Website Classification

Primary Category

government95% confidence
Type: dynamic
Method: structural

All Detected Categories

government
95%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
35107.155.100.130New York, New York, United States
AS29802HVC-AS
2142.250.186.99United States
AS15169GOOGLE
2172.67.71.102United States
AS13335CLOUDFLARENET
2142.250.185.234United States
AS15169GOOGLE
22a00:1450:4001:82f::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
22a00:1450:4001:800::2003Frankfurt am Main, Hesse, Germany
AS15169GOOGLE
22606:4700:10::6814:214bUnited States
AS13335CLOUDFLARENET
22606:4700:10::ac42:aed9United States
AS13335CLOUDFLARENET
22606:4700:20::ac43:4766United States
AS13335CLOUDFLARENET
2104.26.4.247United States
AS13335CLOUDFLARENET
4215--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10C93712196FD3C37112392E6AE61271A2BAAD933D9438CC0F2BF835C4FC6E866D57145

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:UUCUSDmrqIlQrWHN/q4pIbid4+uWcjMy8wo74S1:My5uWcjMy8wo74m

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:90327:VOVAFCERBCITIFAQmJ0OCQSAopk2gmBkWCIDAAsAgtSoBQRbQXQcSkFkCdoDMIwGBEgAImQyBijIgSJGMhpEAkggIBArbSAI

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:ffffffff7f000000
Perceptual Hash:8af57f04e17c8562
Difference Hash:006be117c7f4f1cd
Wavelet Hash:ffffffff00000000
Color Hash:#3a786c

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data