Security Scan Report: explorerclarionblog-dr8jjv4yiv.edgeone.app

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Submitted: May 23, 2026, 9:15:58 PMCompleted: May 23, 2026, 9:17:30 PMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 11 HTTP transactions. The main domain is explorerclarionblog-dr8jjv4yiv.edgeone.app and was registered NaN years ago.

Submitted URL: https://explorerclarionblog-dr8jjv4yiv.edgeone.app/20247-kratom-the-herbal-supplement-from-indonesia-that-has-us-drug-agencies-worried.html

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

The site is a low‑risk informational article with no malicious forms or indicators, though the subdomain is newly created and JavaScript is heavily obfuscated.

Risk Factors
High JavaScript obfuscation score
Low domain ranking
Safety Factors
No credential or payment collection
Content appears to be an informational article about Kratom
No external malicious IoC or IDS alerts
No JavaScript credential exfiltration behavior
Domain age information unavailable

Details

Page Title

Kratom, the herbal supplement from Indonesia that has US drug agencies worried

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

Domain Information

Within the application-focused generic top-level domain (.app), 'explorerclarionblog-dr8jjv4yiv.edgeone.app' is registered and includes subdomain 'explorerclarionblog-dr8jjv4yiv'. The registrable portion 'edgeone' spans 7 characters containing 4 vowels alongside three consonants. Tokenizing the label suggests 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://explorerclarionblog-dr8jjv4yiv.edgeone.app/20247-kratom-the-herbal-supplement-from-indonesia-that-has-us-drug-agencies-worried.html

Page Load Overview

25.82s
Total Load Time
17
HTTP Requests
13
Domains
33 KB
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:7,169 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
70%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.67.150.240United States
AS13335Cloudflare, Inc.
2172.66.169.241United States
AS13335Cloudflare, Inc.
2192.178.183.95United States
AS15169Google LLC
2104.18.10.207United States
AS13335Cloudflare, Inc.
2172.240.108.76United States
AS7979Servers.com, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
2142.251.110.94United States
AS15169Google LLC
2104.20.7.223United States
AS13335Cloudflare, Inc.
178--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T132820B33B781023C17710695614AB2BCBB2E8836DB92C9B5A4EC933863C65DFB5719F4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:brgqMEhnYf8zX+srPuoCJLAyVGMesZjVNZ64NJi6Ys6FzYTdag4lDd:bQEhnz+S8JMyzVP646G6YTdag4xd

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18441:0qDqEAgLW/QCKhRCBMBWwURMSMJYxsg6wCgQAgIKiBNmUAaIowGoUlEzjAZVlQowDAEByTz0ELwA1WgQlzLoFMQoAACAbAoJ

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:c3dfc3c3c3c3c3c7
Perceptual Hash:b49b8a2c4b65cb2b
Difference Hash:2736161616161616
Wavelet Hash:83c7c3c3c3c3c3c3
Color Hash:#51bf40

Other Hashes

Crop Resistant:2736161616161616

Scan History

Scan history not available

Unable to load historical scan data