Security Scan Report: pikselglobaljournal-dpp6yca56kr6.edgeone.app

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Submitted: Completed: publiccompleted
This website contacted 6 IPs in 2 countries across 12 domains to perform 15 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-news.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 low‑risk informational article with no forms, IoCs, or malware indicators.

Risk Factors (2)
Low Cisco Umbrella ranking (outside top 100K)
Subdomain creation date unknown (could be newly created)
Safety Factors (5)
Page type is article (og:type=article) – informational content
Hosted on edgeone.app platform, a legitimate hosting service
No network IDS alerts or suspicious external links
No credential exfiltration or cross‑origin form submissions
No brand impersonation or malicious redirects
Domain age information unavailable

Details

Page Title

How Brazilian Oil and Gas Innovations Address Energy Challenges for Everyday Users

Scan Type

public

Domain Name Analysis

You're looking at domain 'pikselglobaljournal-dpp6yca56kr6.edgeone.app' on the application-focused generic top-level domain (.app) with subdomain 'pikselglobaljournal-dpp6yca56kr6'. The second-level label 'edgeone' is 7 characters long split between 4 vowels and 3 consonants. Splitting it apart reveals 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://pikselglobaljournal-dpp6yca56kr6.edgeone.app/brazilian-oil-and-gas-news.html

Page Load Overview

2.08s
Total Load Time
107 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:7,694 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism82% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
82%
documentation technical
70%
adult content
58%
government public service
39%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5172.240.127.244United States
AS7979Servers.com, Inc.
2172.66.1.220United States
AS13335Cloudflare, Inc.
2142.251.13.95United States
AS15169Google LLC
2104.21.0.120United States
AS13335Cloudflare, Inc.
2104.18.11.207United States
AS13335Cloudflare, Inc.
243.152.26.58Singapore
156--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14F922D33AB916238DA231386E4D3B2FDFE3C8456A3558CE2349D632C5F852CB5677648

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:3rgqM+hnYf8zX+IYw9wlpc9VgOPkBFngWVJKWicaaFNjag4n+KV:3Q+hnz+IYw9wlp0vPkBFlNfNjag4+m

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20927:KYtCHABgZLjmIvkMiICFEa3AaIY+1kxQ1oIqw0RBgBZ6HIYRAREHg1RQmgQjGCCICiACVTwIwDIShBCIgMlwjQRaDRBJCzMa

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:c7c7efffc3c3c3c3
Perceptual Hash:b4d7753c88881ee3
Difference Hash:0e0e080016161616
Wavelet Hash:00c2e6ffc3c3c3c3
Color Hash:#2dc5d2

Other Hashes

Crop Resistant:0e0e080016161616

Scan History

Scan history not available

Unable to load historical scan data