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 13 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-company-stock.html

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

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Low‑risk site with no malicious indicators; appears to be a legitimate article.

Risk Factors (2)
Low domain ranking (455,732) for the subdomain
Subdomain on hosting platform (.edgeone.app) with unknown creation date
Safety Factors (5)
Absence of forms that collect credentials or payment data
No Indicators of Compromise matches
No JavaScript malware detections
Article content type (og:type=article) suggests informational page
No IDS alerts or suspicious network activity
Domain age information unavailable

Details

Page Title

Brazilian Oil Company Stock: Key Trends and Market Outlook

Scan Type

public

Domain Name Analysis

The domain name 'pikselglobaljournal-dpp6yca56kr6.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'pikselglobaljournal-dpp6yca56kr6'. The registrable portion 'edgeone' spans 7 characters holding four vowels versus three consonants. Splitting it apart reveals 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.88s
Total Load Time
75 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:2,748 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service56% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
56%
corporate business
49%
blog personal website
45%
adult content
39%
documentation technical
38%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3104.18.11.207United States
AS13335Cloudflare, Inc.
292.113.16.196Frankfurt am Main, Hesse, Germany
AS47583Hostinger International Limited
2172.67.150.240United States
AS13335Cloudflare, Inc.
2172.240.127.234United States
AS7979Servers.com, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
2172.217.208.95United States
AS15169Google LLC
136--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17D620827AAA1942CB67211C6F0E272FC7E7D8417D79AC8E5B49CB3284BC63CB5935244

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:3rgqM2hnYf8zX+IxgUYfp5qv4LDFNjag4n++e:3Q2hnz+IxgUYfp6ANjag4+T

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14918:Jk8Ovk14IwFngIAIQRgACJOt4jMAAQw46WQTlQCFAZRgjlAE7MEMgEZImF5AJgYMSAZAIGXRBQ0eCByy0AYO2gQBEYAwAFAk

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:c3c3e7ffc3cfc3c3
Perceptual Hash:f5c730394c99c633
Difference Hash:0e0e080006161e16
Wavelet Hash:00c2e6fec2dec3c3
Color Hash:#c5ad87

Other Hashes

Crop Resistant:0e0e080006161e16

Scan History

Scan history not available

Unable to load historical scan data