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Security Scan Report: ny.eater.com

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Submitted: Dec 31, 2025, 11:52:51 PMCompleted: Dec 31, 2025, 11:53:54 PMpubliccompleted
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Summary

This website contacted 19 IPs in 2 countries across 17 domains to perform 89 HTTP transactions. The main domain is ny.eater.com and was registered NaN years ago.

Submitted URL: https://ny.eater.com/maps/best-nyc-restaurants-christmas-eve-christmas-day

The Cisco Umbrella rank of the primary domain is #17,910 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

2
Risk Score

The site appears legitimate with no significant security threats.

Risk Factors
High number of redirects detected (24) before reaching the final URL
Safety Factors
Well‑established domain with long registration history
Top 100 k ranking indicates reputable site
No malicious Indicators of Compromise detected
Absence of credential‑harvesting or payment forms
Domain age information unavailable

Details

Page Title

NYC Restaurants Open on Christmas 2025 | Eater NY

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

news media journalism

(72%)

Domain Information

You're looking at domain 'ny.eater.com' on the commercial generic top-level domain (.com); it also runs on subdomain 'ny'. Its registrable label 'eater' stretches across 5 characters containing three vowels alongside two consonants. Word splitting yields one word: eater. The median word length lands at 5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ny.eater.com/maps/best-nyc-restaurants-christmas-eve-christmas-day

Page Load Overview

9.53s
Total Load Time
214
HTTP Requests
33
Domains
4.6 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-US
Text Length:12,643 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism72% confidence
Type: static
Method: ml+structural

All Detected Categories

news media journalism
72%
social media network
67%
entertainment media
65%
government public service
29%
news/blog
20%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16172.64.155.110United States
AS13335CLOUDFLARENET
11104.18.86.42United States
AS13335CLOUDFLARENET
1118.244.18.27Sweden
AS714
11172.217.18.2Unknown
AS2635
11104.18.87.42United States
AS13335CLOUDFLARENET
11192.0.66.178San Francisco, California, United States
AS2635AUTOMATTIC
11142.250.185.162Unknown
AS13335
11146.75.121.91Unknown
AS14618
113.174.46.76United States
AS16509AMAZON-02
1113.33.52.91New York, New York, United States
AS16509AMAZON-02
21419--

Detected Technologies4

WordPress
75%
HTTP/3
40%
HSTS
40%
Squarespace
25%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T143F4E73E11AD441987FB274274617998D022906BF0EACDA876DB9FCC93C79D7C01B2B9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:/T2mweEhD3aMjc6s6Nunl3DVAx+GSMZmaSdveG:72mwZI6s6N8aSdeG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:763251:VtGCBiABYiEDoUCVCzK2AiAQhCkCOsBEOiAyKHgjQVyADwgkYpsZDcALh0CiAJkTAQiAJhUK7OygBQ1IAoCGA86BOh4AYE0Q

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:ffffa181e1e1a181
Perceptual Hash:ee9191c1373e6362
Difference Hash:0a01232707472767
Wavelet Hash:ffffa181e1a18181
Color Hash:#6cdee0

Other Hashes

Crop Resistant:0a01232707472767

Scan History

Scan history not available

Unable to load historical scan data