Security Scan Report: pikselharianstories-dpww1gjvh6sm.edgeone.app

Site favicon
Submitted: Jun 24, 2026, 3:43:19 AMCompleted: Jun 24, 2026, 3:44:28 AMpubliccompleted
Loading additional data...

Summary

This website contacted 8 IPs in 2 countries across 9 domains to perform 2 HTTP transactions. The main domain is pikselharianstories-dpww1gjvh6sm.edgeone.app and was registered NaN years ago.

Submitted URL: https://pikselharianstories-dpww1gjvh6sm.edgeone.app/atlanta-braves-marcell-ozuna.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 page with no malicious indicators; likely a benign article about the Atlanta Braves.

Risk Factors
Low Cisco Umbrella ranking (455,732) for the subdomain
Unknown creation date of the subdomain (could be very new)
Safety Factors
Absence of login, password, or payment forms
No external malicious domains or suspicious redirects
No IDS/Suricata alerts
JavaScript obfuscation score high but attributed to normal minification
Content appears to be an informational article about a sports team
Domain age information unavailable

Details

Page Title

Marcell Ozuna Brings Power to the Atlanta Braves

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(72%)

Domain Information

Domain 'pikselharianstories-dpww1gjvh6sm.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'pikselharianstories-dpww1gjvh6sm'. The core label 'edgeone' covers 7 characters containing four vowels alongside 3 consonants. Segmentation suggests 2 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://pikselharianstories-dpww1gjvh6sm.edgeone.app/atlanta-braves-marcell-ozuna.html

Page Load Overview

2.00s
Total Load Time
17
HTTP Requests
14
Domains
1.1 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:2,663 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content72% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
72%
news media journalism
66%
entertainment media
65%
documentation technical
61%
government public service
60%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
399.84.149.94United States
AS16509Amazon.com, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
2142.251.13.95United States
AS15169Google LLC
254.192.35.73United States
AS16509Amazon.com, Inc.
2188.114.96.3United States
AS13335Cloudflare, Inc.
243.152.26.58Singapore
2104.20.45.66United States
AS13335Cloudflare, Inc.
2172.240.108.68United States
AS7979Servers.com, Inc.
178--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T10462F927EEC101356E611248A6C6F7FDBC9D451BE31149E1B8AD732C9B85FDB4C72A08

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:jL6cm2TK3VomvPYf85ZEQV+/NaTE1ZEans3wZvrcIEu8WmetXcBP8goNjag4ooCo:X+hnYf8zX+/9vtcP8goNjag4n+Ur

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15466:MigRUqEU0wv3FHAQSIwBkSg5dYJCiAR4IABCQAADEBcZCFCIoLDAYsQfxAQ0wxSiywMloWdVAWBwqIZgL6YX9ilgK5ALF2Y2

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:1000000000007e7e
Perceptual Hash:c23cc7389c9e3cc3
Difference Hash:f1c511e1c1d9c0c0
Wavelet Hash:ff71010101617f7f
Color Hash:#291f93

Scan History

Scan history not available

Unable to load historical scan data