Security Scan Report: pikselglobaljournal-dpp6yca56kr6.edgeone.app

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Submitted: Completed: publiccompleted
This website contacted 6 IPs in 2 countries across 11 domains to perform 14 HTTP transactions. The main domain is edgeone.app and was registered 3 years 5 months ago.

Submitted URL: https://pikselglobaljournal-dpp6yca56kr6.edgeone.app/brazilian-oil-and-gas.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 appears to be a simple article page with no forms, no malicious indicators, and only weak signals such as unknown subdomain age; classified as low risk.

Risk Factors (3)
Unknown creation date of the subdomain (could be brand‑new)
Low Cisco Umbrella ranking (#455,732) – weak signal
High JavaScript obfuscation score (likely minified code, not malicious)
Safety Factors (3)
Page type is an article (og:type=article) with no credential collection
No external links to known malicious domains
No brand impersonation or mismatched branding
Domain age information unavailable

Details

Page Title

Brazilian Oil and Gas: An Overview of the Industry

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'pikselglobaljournal-dpp6yca56kr6.edgeone.app' is registered; it also runs on subdomain 'pikselglobaljournal-dpp6yca56kr6'. The core label 'edgeone' covers 7 characters split between 4 vowels and three consonants. Segmentation suggests two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pikselglobaljournal-dpp6yca56kr6.edgeone.app/brazilian-oil-and-gas.html

Page Load Overview

1.76s
Total Load Time
143 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en-US
Text Length:3,041 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content57% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
57%
government public service
54%
corporate business
43%
news media journalism
39%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
443.152.26.58Singapore
2104.18.11.207United States
AS13335Cloudflare, Inc.
265.9.175.57United States
AS16509Amazon.com, Inc.
2172.240.127.244United States
AS7979Servers.com, Inc.
2192.178.183.95United States
AS15169Google LLC
2104.21.0.120United States
AS13335Cloudflare, Inc.
146--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F0822A277E81A638E73223E9A4C275EC6E394027E765CCE1749CB7294B872CF5933644

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:3rgqMYhnYf8zX+I0gRP2xypZMlA4BE8P70FNjag4n+mA:3QYhnz+I0C+xypZi9BHP7WNjag4+R

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18491:AgISgRYAjRDts0SWyYCTEgoEQAgCAwCVEoCYaRhBWqV5UYAeAAKFBw9LAkQBdJA2wKACHYzAAAQgCAAdARI5+CMJIIMBJyUc

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:ffffffffffc7c7c7
Perceptual Hash:b0cd32cfcd32cd21
Difference Hash:0e0e000e168d8d9d
Wavelet Hash:00c2fefec2c6c6c6
Color Hash:#8a53ac

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data