Security Scan Report: www.smithsonianmag.com

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Submitted: Oct 6, 2026, 3:44:43 AMCompleted: Oct 6, 2026, 3:46:29 AMpubliccompleted

This website contacted 498 IPs in 12 countries across 337 domains to perform 1879 HTTP transactions. The main domain is smithsonianmag.com and was registered 9 years ago.

Submitted URL: https://www.smithsonianmag.com

The Cisco Umbrella rank of the primary domain is #8,118 of the top 1 million websitesTop 10K Site

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

Legitimate, long-established Smithsonian Magazine news site with self-branding, no forms capturing credentials or payment, and no Indicators of Compromise. IDS and redirect counts reflect normal ad-tech/analytics traffic.

Safety Factors (5)
Domain age 10,650 days (well-established, risk level minimal)
Top 10K Cisco Umbrella ranking (#8,118)
Page content is genuine editorial journalism (history, science, arts) consistent with the Smithsonian Magazine brand
No credential harvesting, no payment collection, no brand impersonation
All cross-origin JS hosts are reputable, high-ranked service providers
Domain age information unavailable

Details

Page Title

Smithsonian Magazine: Explore History, Science, Arts & Culture

Scan Type

public

Domain Name Analysis

Domain 'www.smithsonianmag.com' uses the commercial generic top-level domain (.com), featuring subdomain 'www'. Count 14 characters in 'smithsonianmag' containing five vowels alongside 9 consonants. Segmentation suggests 2 words: smithsonian, mag. Average segment length settles at seven characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.smithsonianmag.com

Page Load Overview

4.31s
Total Load Time
7.9 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:27,475 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical60% confidence
Type: spa
Method: ml+structural+ocr_tiebreaker

All Detected Categories

healthcare medical
60%
travel tourism
39%
government public service
39%
blog personal website
38%
technology software
37%

Detected Features

Search
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
388172.66.151.126Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3172.66.170.159Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.18.40.68Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3172.67.75.39Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.16.80.73Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3192.178.183.97Google · CDNUnited States
AS15169Google LLC
3104.16.143.111Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
334.160.152.31Google · CDNKansas City, Missouri, United States
AS396982Google LLC
3104.18.18.98Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.20.24.1Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
1879498--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BB25C6615C51015EF0B27C1B75C27A143D79A207AFA14CAAF13D2D900FFAEE6708B7A9

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

6144:TK267gr7Lh7+iJ78xVVoVHcGyH/b27eoQlo7tKhQJc7RKEQ+J7AKYQy57CKG67g7:WBoVlyHW/fsjBd0uG+h

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:966731:TPJADGPLQhMAFklbUCB0QmDYkQCARAoKSJnKAQA3GCQBJAwVYATMUihnAwsAI4IJBJ97Q4GIJJhlgBzGlgeGAAgStqhIbBaC

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:008301010100ffff
Perceptual Hash:be29ca61e03e2d3a
Difference Hash:8f4f3f1707076d01
Wavelet Hash:009f818183c1ffff
Color Hash:#2d8649

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data