Security Scan Report: its.ny.gov

Bot Protection Detected

This website is protected by Cloudflare bot protection. The screenshot and page details below show the page as it was captured.

Submitted: Completed: publiccompleted
This website contacted 11 IPs in 2 countries across 2 domains to perform 10 HTTP transactions. The main domain is ny.gov and was registered 24 years ago.

Submitted URL: https://its.ny.gov/cybersecurity-tips-topics

The Cisco Umbrella rank of the primary domain is #20,231 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Official New York State (its.ny.gov) cybersecurity tips page on a 24-year-old government domain. No threat-intel hits, no credential/payment forms, no impersonation — legitimate.

Safety Factors (5)
Official NYS .gov domain with HTTPS and standard 'official website of New York State' government banner
Long-established domain (~24 years) with good domain reputation ranking
No credential, payment, or disguised password fields on the page
All JavaScript served from the site's own domain; no credential exfiltration and no cross-origin JS targets
Cloudflare 'Just a moment...' challenge seen by the datacenter scanner is ordinary bot protection, consistent with a legitimate government site
Domain age information unavailable

Details

Page Title

Cybersecurity Topics and Tips | Office of Information Technology Servicesother network

Scan Type

public

Domain Name Analysis

You're looking at domain 'its.ny.gov' on the United States government-restricted top-level domain (.gov) and includes subdomain 'its'. Its registrable label 'ny' stretches across 2 characters holding zero vowels versus 2 consonants. Segmentation suggests 1 word: ny. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://its.ny.gov/cybersecurity-tips-topics

Page Load Overview

0.92s
Total Load Time
927 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:3,079 chars
Detector Agreement:100%

Website Classification

Primary Category

technology software91% confidence
Type: spa
Method: ml+structural

All Detected Categories

technology software
91%
government public service
79%
documentation technical
65%
government
48%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
10104.17.140.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.18.11.202Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0142.251.110.97Google · CDNUnited States
AS15169Google LLC
0142.251.153.4Google · CDNUnited States
AS15169Google LLC
0216.239.32.36Google · CDNUnited States
AS15169Google LLC
0142.251.14.113Google · CDNUnited States
AS15169Google LLC
0188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
03.65.224.18Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
0104.17.139.100Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
0104.18.94.41Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1011--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1C0930717537C033E02131785967A215ABADAD8E7E268E3CCBBFE5A11BBC2DF4040596D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:RZrfPIkKAcLrTb0uKLczrDiV3KUHfslgzCbfVFaexwZrVKRG++eszM7zSJCJ4nCV:RZrfPuNarSJCZrVKRG++eszM7zSJCJ4g

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:90583:l1mKkZAJRkGQoBwUQmxc2QxoRoCESCWFCgAQMkEVZBEIBdDBMACnAmGSsIxDh3A1CNDs4IdpACGrECEgAwzAIEE7gITMkKIZ

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:800001000cffffff
Perceptual Hash:a929f3d2168c8dcb
Difference Hash:0c9b3333a9141514
Wavelet Hash:b00801010cffffff
Color Hash:#1f931f

Scan History

Scan history not available

Unable to load historical scan data