Security Scan Report: nyc-business.nyc.gov

Redirected to: https://nyc-business.nyc.gov/nycbusiness/

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Submitted: Jan 19, 2026, 5:22:53 AMCompleted: Jan 19, 2026, 5:24:23 AMpubliccompleted
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Summary

This website contacted 9 IPs in 4 countries across 10 domains to perform 1 HTTP transaction. The main domain is nyc-business.nyc.gov and was registered NaN years ago.

Submitted URL: https://nyc-business.nyc.gov

Effective URL: https://nyc-business.nyc.gov/nycbusiness/Redirected

The Cisco Umbrella rank of the primary domain is #37,081 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

Legitimate NYC business portal with no security concerns.

Safety Factors
Established government domain (.gov)
Long domain age indicating legitimacy
High Cisco Umbrella ranking
No suspicious forms or data collection
Domain age information unavailable

Details

Page Title

MyCity Business

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate business

(59%)

Domain Information

The domain name 'nyc-business.nyc.gov' uses the United States government-restricted top-level domain (.gov) and includes subdomain 'nyc-business'. The registrable portion 'nyc' spans 3 characters with zero vowels and three consonants. Word splitting yields 1 word: nyc. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://nyc-business.nyc.gov

Page Load Overview

3.07s
Total Load Time
74
HTTP Requests
10
Domains
6.9 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:4,933 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business59% confidence
Type: spa
Method: ml+structural

All Detected Categories

corporate business
59%
government
48%
government public service
46%
healthcare medical
41%
education learning
30%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1023.50.131.136Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
8172.217.20.138United States
AS15169GOOGLE
8216.58.212.136United States
AS15169GOOGLE
8142.251.141.99Germany
854.216.210.203Dublin, Leinster, Ireland
AS16509AMAZON-02
8172.217.20.132United States
AS15169GOOGLE
823.59.40.155Ballerup Municipality, Capital Region, Denmark
AS16625AKAMAI-AS
8216.58.206.67United States
AS15169GOOGLE
823.50.131.145Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
749--

Detected Technologies6

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13663746144F23437539381E6F925B71AEAE6920BE2042C05B7BC0A9DAFD3F479D07639

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:FyDECHL3aWjWnlUnsofiG742NCOQqfTMn:FyDECHray5D42NXQqfTMn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:72388:gAIkIPCwogohAoIAhABA1MkkMgqk4moVBASwEtAUwBhARCAZjGCPohUPNpagQJGkgmNXD+QAkgAEQCTgQQUNSiQAAAiLkICS

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:0000000000ffffff
Perceptual Hash:8346ecb935e45b43
Difference Hash:bae5cdc4d91b4462
Wavelet Hash:410020060dffffff
Color Hash:#7253ac

Scan History

Scan history not available

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