Security Scan Report: www.iconicmagazines.com

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Submitted: Completed: publiccompleted
This website contacted 21 IPs in 2 countries across 15 domains to perform 171 HTTP transactions. The main domain is iconicmagazines.com and was registered 12 years ago.

Submitted URL: https://www.iconicmagazines.com/product/france-vogue-collection-fall-winter26-27/

AI Security Verdict

Safe Website

Confidence: 88%

1
Risk Score

Established (12-year-old) magazine retailer selling a French Vogue issue. Self-branded, no credential or payment fields, no threat-intelligence, YARA or IDS hits. No malicious signals found.

Safety Factors (5)
12-year-old registered domain (2014)
Physical address visible and clear shipping/returns policy from New York City
og:type is 'article' and payments run through ranked Stripe infrastructure (js.stripe.com, m.stripe.com)
No credential, password or payment fields on the page; no cross-origin credential submission
Site displays its own brand consistently in title, meta and footer
Domain age information unavailable

Details

Page Title

France Vogue Collections Fall/Winter 2026-2027 | Iconic Magazines

Scan Type

public

Domain Name Analysis

The domain name 'www.iconicmagazines.com' uses the commercial generic top-level domain (.com) with subdomain 'www'. Its registrable label 'iconicmagazines' stretches across 15 characters split between seven vowels and 8 consonants. Splitting it apart reveals two words: iconic, magazines. Expect 7.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.iconicmagazines.com/product/france-vogue-collection-fall-winter26-27/

Page Load Overview

2.96s
Total Load Time
5.6 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:5,032 chars
Detector Agreement:100%

Website Classification

Primary Category

e-commerce40% confidence
Type: spa
Method: ml+structural

All Detected Categories

e-commerce
40%
corporate
35%
news media journalism
26%
news/blog
20%

Detected Features

Search
Products
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11162.159.134.42Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
83.167.227.72Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
8192.0.77.48San Francisco, California, United States
AS2635Automattic, Inc
8146.75.120.176Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
818.173.205.118Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
8198.202.176.21Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
8198.137.150.161Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
8198.137.150.21Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
818.173.205.14Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
854.187.119.242Aws · CLOUDBoardman, Oregon, United States
AS16509Amazon.com, Inc.
17121--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F104D6A3E47D4936070A83DAD168B7E8FCD71917EE8021E178FE92652791CF2361362D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:jZgtGAHbAxAEAnAMAuIAFAWfAUVAk/AfUPH+pIOdJBpNAcMNvr0VnGPziwLIG7Z7:j8Ua5ARYut1lumIOe2O5J

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:173443:cIiCCAAlKwRHDhIDBDEFhEjYGAIDIhBNkHiJWIhQhGZARKUIVABCkKJTcGA6A3KDIVpepkSSQGQQDRCISlgbEA5kDgAjBgyy

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:ff8387cf8f8f83f3
Perceptual Hash:b993c61ac34e936c
Difference Hash:491e1e1b1b1a3727
Wavelet Hash:ff838783838383f1
Color Hash:#522d86

Other Hashes

Crop Resistant:491e1e1b1b1a3727

Scan History

Scan history not available

Unable to load historical scan data