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Security Scan Report: kanvasnetworkstudio-dpl60w24k4ab.edgeone.app

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Submitted: Jun 25, 2026, 8:07:44 AMCompleted: Jun 25, 2026, 8:08:53 AMpubliccompleted
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Summary

This website contacted 6 IPs in 3 countries across 6 domains to perform 2 HTTP transactions. The main domain is kanvasnetworkstudio-dpl60w24k4ab.edgeone.app and was registered NaN years ago.

Submitted URL: https://kanvasnetworkstudio-dpl60w24k4ab.edgeone.app/braves-baseball-season-2025.html

AI Security Verdict

Low Risk

Confidence: 78%

3
Risk Score

The site appears to be a benign article without phishing or malware, but unknown subdomain age and a high IDS alert suggest moderate caution.

Risk Factors
Subdomain on edgeone.app with unknown creation date
Domain is unranked in Cisco Umbrella (no reputation)
High severity IDS alert indicating potentially bad traffic
Safety Factors
Page type is an informational article
No forms or credential collection mechanisms
No malicious JavaScript or external exfiltration observed
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 4 to 3
Domain age information unavailable

Details

Page Title

What to Watch in the Braves Baseball Season 2025: A Step‑by‑Step Guide

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

Domain Information

Domain 'kanvasnetworkstudio-dpl60w24k4ab.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'kanvasnetworkstudio-dpl60w24k4ab'. Its registrable label 'edgeone' stretches across 7 characters containing 4 vowels alongside 3 consonants. Word splitting yields 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://kanvasnetworkstudio-dpl60w24k4ab.edgeone.app/braves-baseball-season-2025.html

Page Load Overview

1.71s
Total Load Time
14
HTTP Requests
11
Domains
76 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:4,780 chars
Detector Agreement:80%

Website Classification

Primary Category

corporate70% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
70%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
443.152.26.58Singapore
AS139341ACE
2185.178.210.194Russia
AS57724Ddos-guard Ltd
2104.18.11.207United States
AS13335Cloudflare, Inc.
2172.240.127.244United States
AS7979Servers.com, Inc.
2142.251.20.95United States
AS15169Google LLC
2172.67.150.240United States
AS13335Cloudflare, Inc.
146--

Detected Technologies3

Open-Graph-Protocolvarticle
100%
Bootstrapv4.1.3
100%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T183721C67AE80123C152202CDA4C6B3FC7D39843BF752CDF8789EB3285785ACB4576698

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:PnxqBPhnYf8zX+0ymYHWNp5zj2lO80Njag4n+gs:PQPhnz+0ymVhzj2GNjag4+n

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17530:BQuw2AUT8JFCJQZHECAgPAGiCCNQCgYEIISKwBQlgRMqAAhkQxFPCw5gCSSITEkAFBHyQA0BBDs1irEBIsAjgtJMAiBgQPAC

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:3d1911013d313d3d
Perceptual Hash:8a3ccfceb32630c9
Difference Hash:7171310d61616169
Wavelet Hash:3d3d19013d313d3d
Color Hash:#2dc5d2

Other Hashes

Crop Resistant:564646000200200e,7171310d61616169

Scan History

Scan history not available

Unable to load historical scan data