Security Scan Report: www.ny1.com

Redirected to:
https://ny1.com/nyc/all-boroughs/news/2016/12/30/carnegie-deli-7th-ave...
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Submitted: Aug 22, 2026, 12:49:17 PMCompleted: Aug 22, 2026, 12:51:24 PMpubliccompleted

Summary

This website contacted 6 IPs in 2 countries across 20 domains to perform 2 HTTP transactions. The main domain is ny1.com and was registered 39 years ago.

Submitted URL: http://www.ny1.com/nyc/all-boroughs/news/2016/12/30/carnegie-deli-7th-avenue-closes-nyc-manhattan-midtown.html

Effective URL: https://ny1.com/nyc/all-boroughs/news/2016/12/30/carnegie-deli-7th-avenue-closes-nyc-manhattan-midtownRedirected

The Cisco Umbrella rank of the primary domain is #355,729 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site is a legitimate news article with no malicious indicators.

Safety Factors
Well‑established domain with long registration history
Absence of forms that collect credentials or payment data
No external malicious redirects or IDS alerts
Content classified as legitimate news media
Domain age information unavailable

Details

Page Title

After 80 Years, Carnegie Deli on Seventh Avenue Serves Its Last Sandwich

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(77%)

Domain Information

Domain 'www.ny1.com' uses the commercial generic top-level domain (.com) and includes subdomain 'www'. Its registrable label 'ny1' stretches across 3 characters split between 0 vowels and two consonants; bonus characters include 1 digit. Segmentation suggests two words: ny, 1. Expect 1.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of apis.spectrum.net

Page Load Overview

20.36s
Total Load Time
96
HTTP Requests
20
Domains
1.6 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:5,262 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism77% confidence
Type: spa
Method: ml+structural

All Detected Categories

news media journalism
77%
government public service
55%
healthcare medical
49%
news/blog
35%
corporate
35%

Detected Features

Search
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1644.206.134.158Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
1623.36.162.203Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
162.16.204.13Hamburg, Free and Hanseatic City of Hamburg, Germany
AS20940Akamai International B.V.
163.161.82.29Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
162.23.245.90Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
16142.251.152.119Google · CDNUnited States
AS15169Google LLC
966--

Page Statistics

96
Requests
20
Unique Domains
1.8 MB
Total Size

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D272A3BE85A301690667203DAF4F72007532A0976685DD613FCCCB10AF55AAF86F2BDD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:yfQbuMcFAz/pwuYFZNRy2lCod0POUkPngUtUDlJ:IQbuMcqtwuYFZNRy2lCM8kPngUtUDlJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17121:Uy4DnDgCQRDoChgQQzgEuCoEBVGIgSGgyGNBCGHUCkBREgMANEAAXAyaywECcEigIgGBiGwAcbZMBjgxBIYhUBUwIIZQGfhV

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:7c8fc3c3c3c3c3c3
Perceptual Hash:fd5554505455545f
Difference Hash:c01e232323232307
Wavelet Hash:7e86c3c3c3c383c3
Color Hash:#ac6653

Other Hashes

Crop Resistant:c01e232323232307

Scan History

Scan history not available

Unable to load historical scan data