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Security Scan Report: ddsgrowthblog-wqpqqsqjms.edgeone.app

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Submitted: Completed: publiccompleted

Summary

API
This view is built from:
Scan result: counts, verdicts, details, IPs, technologies, hashes/api/v1/result/dd0a01b6-adb5-41f3-95a8-cd3ddf02799cDomain and IP registration (RDAP)/api/v1/rdap/dd0a01b6-adb5-41f3-95a8-cd3ddf02799cCertificate Transparency/api/v1/ct/ddsgrowthblog-wqpqqsqjms.edgeone.appHow often this domain was scanned/api/v1/domain/stats/ddsgrowthblog-wqpqqsqjms.edgeone.appScan history for this domain/api/v1/domain/history/ddsgrowthblog-wqpqqsqjms.edgeone.app?limit=15
This website contacted 8 IPs in 2 countries across 13 domains to perform 14 HTTP transactions. The main domain is edgeone.app and was registered 3 years 5 months ago.

Submitted URL: https://ddsgrowthblog-wqpqqsqjms.edgeone.app/14166-top-10-college-football-linebackers-of-all-time-ft-lawrence-taylor-jack-ham-and-more.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

The site appears to be a low‑risk article page; no phishing, malware, or credential collection observed.

Risk Factors (2)
Unknown subdomain age on hosting platform
Low Cisco Umbrella ranking
Safety Factors (5)
No forms collecting credentials or payments
No Indicators of Compromise detected
No JavaScript malware patterns
No network IDS alerts
Page type is an article (og:type=article) with no brand impersonation
Domain age information unavailable

Details

Page Title

Top 10 college football linebackers of all time ft. Lawrence Taylor, Jack Ham, and more

Scan Type

public

Domain Name Analysis

The domain name 'ddsgrowthblog-wqpqqsqjms.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'ddsgrowthblog-wqpqqsqjms'. The core label 'edgeone' covers 7 characters holding four vowels versus three consonants. Word splitting yields two 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://ddsgrowthblog-wqpqqsqjms.edgeone.app/14166-top-10-college-football-linebackers-of-all-time-ft-lawrence-taylor-jack-ham-and-more.html

Page Load Overview

90.16s
Total Load Time
78 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:10,549 chars
Detector Agreement:100%

Website Classification

Primary Category

gambling betting82% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

gambling betting
82%
news media journalism
75%
adult content
64%
government public service
60%
social media network
53%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7172.240.127.242United States
AS7979Servers.com, Inc.
1104.20.8.223United States
AS13335Cloudflare, Inc.
1104.21.0.120United States
AS13335Cloudflare, Inc.
1142.251.13.95United States
AS15169Google LLC
1142.251.14.94United States
AS15169Google LLC
143.152.26.58Singapore
AS139341ACE
1104.20.23.96United States
AS13335Cloudflare, Inc.
1104.18.11.207United States
AS13335Cloudflare, Inc.
148--

Detected Technologies4

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

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1DBA22C2BF591273C0A637375648273FC7B3E541397928CF474A893381B8A5DB8576AC8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:brgqMThnYf8zX+G0J/cCy+OxH7Htgj4kDhLILv2wO02y/dvBwW3CRgJzYTdag4lM:bQThnz+G0JUCy+OxH7Htgj4kdMKwD2yE

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:21984:EABGaaQUCMAbSEoQasigAkkB7kJAZgIERkgBBAwKHilCdAhDoAs0ExLiAUkK5KyEGQCocDgqGSGADMJIYZGIIkAUIdyCQQUa

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:83dfc3c3c3c3c3ff
Perceptual Hash:b47fcb2a4b24c38a
Difference Hash:1736161616161636
Wavelet Hash:81c3c2c2c3c3c3df
Color Hash:#6c81e0

Other Hashes

Crop Resistant:1736161616161636

Scan History

Scan history not available

Unable to load historical scan data