Security Scan Report: pikselharianstories-dpww1gjvh6sm.edgeone.app

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Submitted: Jun 18, 2026, 1:44:00 AMCompleted: Jun 18, 2026, 1:45:09 AMpubliccompleted
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Summary

This website contacted 5 IPs in 3 countries across 5 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/brian-shaw-linkedin.html

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

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

The page appears to be a low‑risk informational article about Brian Shaw; no phishing or malware indicators were found.

Risk Factors
Unknown subdomain creation date
Low domain ranking for a site mentioning a major brand
High JavaScript obfuscation score (likely due to minification)
Safety Factors
Absence of forms or credential collection fields
No external malicious links or suspicious network activity
Article content type (og:type=article) reduces impersonation risk
Domain age information unavailable

Details

Page Title

Brian Shaw's Growing Influence on LinkedIn and Beyond

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(88%)

Domain Information

The domain name '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 with four vowels and three consonants. It segments into 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pikselharianstories-dpww1gjvh6sm.edgeone.app/brian-shaw-linkedin.html

Page Load Overview

1.70s
Total Load Time
14
HTTP Requests
10
Domains
369 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:1,145 chars
Detector Agreement:80%

Website Classification

Primary Category

social media network88% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
88%
government public service
57%
blog personal website
47%
documentation technical
36%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6172.67.150.240United States
AS13335Cloudflare, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
2185.208.227.118Hungary
AS43359Tarhely.Eu Szolgaltato Kft.
2172.240.127.234United States
AS7979Servers.com, Inc.
2142.251.14.95United States
AS15169Google LLC
145--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17042F637EE81516C6771014AA1D2B2FC7C695037E3818CF4B5AAF36DCBCA7CB59A2244

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:jL6cm293VomvPYf85ZEQV+EgbQECtanQwz7xbJpYmoNjag4ooCFfpLgV9:X9hnYf8zX+Egb3CO3toNjag4n+mb

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12743:QKkJAEAh5QyPCDsWQKJRgZkgWeaSCAU3AiCsYoQJJB66QAIgIk2oUqFMSSGUaMBAAAOgJayHBYBwGwHAQstZIAFmCoBCowQw

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:f960000000600606
Perceptual Hash:926996c9949e69b6
Difference Hash:f1c119c1c5c1cc2c
Wavelet Hash:ff790101397d2707
Color Hash:#78743a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data