Security Scan Report: mestizanewyork.com

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Submitted: Completed: publiccompleted
This website contacted 86 IPs in 4 countries across 60 domains to perform 613 HTTP transactions. The main domain is mestizanewyork.com and was registered 10 years ago.

Submitted URL: https://mestizanewyork.com/blogs/the-mestiza-blog/meet-jodie-sweetin-actress-director-podcast-host-and-mom?srsltid=AYCX9vJxyJOKks4X1DPsQCopcoKw-7JpIFIfcTCSZM1AziyMRS9g6oQs

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Established Mestiza New York Shopify blog post (interview with Jodie Sweetin). Self-branded, no credential/payment forms, no threat-intel, hunting rule or malicious IDS hits. Legitimate.

Safety Factors (5)
Domain age ~10.9 years (well-established registrant)
Content is a legitimate blog interview/article on the brand's own Shopify store
No credential or payment capture fields present
No Indicators of Compromise, hunting rule, Safe Browsing or phishing/malware IDS hits
All form actions are same-origin (site's own comment, search, cart and newsletter endpoints)
Domain age information unavailable

Details

Page Title

Meet Jodie Sweetin, Actress, Activist, Director, Podcast Host, and Mom – MESTIZA NEW YORK

Scan Type

public

Domain Name Analysis

Domain 'mestizanewyork.com' uses the commercial generic top-level domain (.com). Count 14 characters in 'mestizanewyork' containing five vowels alongside nine consonants. Splitting it apart reveals five words: me, sti, za, new, york. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

EXPLORE THE OUR DEBUT TABLETOP COLLECTION ——EeEy—E>Ey SSS | x [did you know you can eam points for SHOP VIEW ALL NEW ARRIVALS BEST SELLERS M FE | / A THE WORLD OF MNY —(_signingup, making purchases an...

Page Load Overview

9.73s
Total Load Time
14.1 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:16,928 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: spa
Method: structural

All Detected Categories

corporate
70%
forum
50%
e-commerce
40%

Detected Features

Search
Articles
Products
Comments
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1823.227.38.32Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
718.173.205.66Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
7142.251.14.95Google · CDNUnited States
AS15169Google LLC
7104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
7142.251.13.95Google · CDNUnited States
AS15169Google LLC
7143.204.181.99Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
723.227.39.20Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
723.227.39.200Cloudflare · CDNOttawa, Ontario, Canada
AS13335Cloudflare, Inc.
7142.251.13.97Google · CDNUnited States
AS15169Google LLC
765.9.130.29Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
61386--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T181850911E4B458BDB42F8CE17986BFA9B7C81107D7E24D90F1EC8B444F99A522A2533F

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:HkSkgKI2PtNSU/lDIpyoD0rleV3B9AeZi18mZm0dNf6k0PtQH:HkSkgKI2Pt/8yoW09A30PtQH

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1737287:yAKGJMUAQAD0DrPIAzoOxVCQioAKxGAHA0KEAhIBJkkECACFKATJAAAogWAcASOYVFSjgQYiJJlEXUmCMQpB+DlilQfwnAIg

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:8181ffffe7e7e7e7
Perceptual Hash:f70c7746d184d383
Difference Hash:2b2b0b0e0f4d4d4c
Wavelet Hash:008081e7e7e7e7e6
Color Hash:N/A

Scan History

Scan history not available

Unable to load historical scan data