Security Scan Report: www.honolulumagazine.com

Submitted: Jun 29, 2026, 10:17:56 AMCompleted: Jun 29, 2026, 10:18:54 AMpubliccompleted
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Summary

This website contacted 14 IPs in 3 countries across 14 domains to perform 2 HTTP transactions. The main domain is honolulumagazine.com and was registered NaN years ago.

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

The Cisco Umbrella rank of the primary domain is #890,802 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 78%

3
Risk Score

Site appears legitimate with no phishing or malware, but high JS obfuscation suggests cautious browsing.

Risk Factors
Critical JavaScript obfuscation score
Multiple eval() calls in page scripts
Low Cisco Umbrella ranking (890,802) for a site claiming a brand
Safety Factors
Own brand matches domain – not impersonating another entity
Long‑standing domain (≈27 years) with stable registration
No credential or payment collection forms
No malicious IoC, YARA, or IDS alerts detected
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 4 to 3
Domain age information unavailable

Details

Page Title

HONOLULU Magazine

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(77%)

Domain Information

Within the commercial generic top-level domain (.com), 'www.honolulumagazine.com' is registered; it also runs on subdomain 'www'. The core label 'honolulumagazine' covers 16 characters holding 8 vowels versus 8 consonants. Breaking it apart gives two words: honolulu, magazine. Median word length comes out to 8 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

9.56s
Total Load Time
286
HTTP Requests
44
Domains
6.3 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:59,353 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical77% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
77%
government public service
62%
news media journalism
57%
education learning
46%
e-commerce shopping
44%

Detected Features

Search
Articles
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2618.245.62.39United States
AS16509Amazon.com, Inc.
20104.18.86.42United States
AS13335Cloudflare, Inc.
20216.239.32.223United States
AS15169Google LLC
20146.75.121.91Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
2052.222.236.110United States
AS16509Amazon.com, Inc.
203.174.46.59United States
AS16509Amazon.com, Inc.
20172.217.208.95United States
AS15169Google LLC
20192.104.182.130United States
AS10668Lee Enterprises, Incorporated
20142.251.153.119United States
AS15169Google LLC
20104.18.11.207United States
AS13335Cloudflare, Inc.
28614--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FFB4C871BC44253F673B05C4A65CE70EB1C3A30BEAD64480E2E547A88BE5E78F45E297

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:qKUYq0rfAmkf+V0pMzxQaXi2inq4jBP945ZJuOCxh+Wu6QFOHyRjquzCYIIYgHol:qKXrEktdpAhiE+PO3F

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:500331:QEwwIWyJiCIBEkAghNBABxcoSINDR0qYMPBUJiAiQQjCzaEDUh+AMccIAhgYOgEw6IggPoMERAKYYECYFhoFAiCAQAgjgQ6j

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:0000181818180000
Perceptual Hash:9cc36336c93ccdc1
Difference Hash:4d2b333333333b4d
Wavelet Hash:8701bf99999981af
Color Hash:#2d8630

Scan History

Scan history not available

Unable to load historical scan data