ScanMalware.com

Security Scan Report: ceritanetworkstudio-dp7attp567n1.edgeone.app

Site favicon
Submitted: Jun 24, 2026, 4:22:19 AMCompleted: Jun 24, 2026, 4:23:27 AMpubliccompleted
Loading additional data...

Summary

This website contacted 5 IPs in 3 countries across 5 domains to perform 2 HTTP transactions. The main domain is ceritanetworkstudio-dp7attp567n1.edgeone.app and was registered NaN years ago.

Submitted URL: https://ceritanetworkstudio-dp7attp567n1.edgeone.app/alex-pereira-payout-for-mma.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 article page with no malicious indicators; likely benign content.

Risk Factors
Domain is a subdomain on edgeone.app with unknown creation date
Low Cisco Umbrella ranking (455,732) indicating limited reputation
Safety Factors
Absence of forms that collect credentials or payment data
No malicious IoC or YARA detections
No IDS alerts indicating phishing or malware activity
JavaScript obfuscation score high but attributed to normal minification
Domain age information unavailable

Details

Page Title

Alex Pereira’s MMA Payouts: What Fighters Can Learn From His Earnings

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(50%)

Domain Information

The domain name 'ceritanetworkstudio-dp7attp567n1.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'ceritanetworkstudio-dp7attp567n1'. Count 7 characters in 'edgeone' holding 4 vowels versus 3 consonants. Tokenizing the label suggests 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://ceritanetworkstudio-dp7attp567n1.edgeone.app/alex-pereira-payout-for-mma.html

Page Load Overview

1.72s
Total Load Time
13
HTTP Requests
10
Domains
3.1 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:4,444 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content50% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
50%
education learning
49%
documentation technical
40%
blog personal website
40%
finance banking
39%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5142.251.13.95United States
AS15169Google LLC
2104.21.0.120United States
AS13335Cloudflare, Inc.
243.152.26.58Singapore
AS139341ACE
2172.240.253.132Ashburn, Virginia, United States
AS7979Servers.com, Inc.
291.210.235.20Dublin, Leinster, Ireland
AS39122Blacknight Internet Solutions Limited
135--

Detected Technologies3

Open-Graph-Protocolvarticle
100%
WordPress
75%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T171721C67FEC002381673111A91D977FC7A298426D387CCF578ADB338A7C6AD75476288

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:7CPhnYf8zX+rsrd3xwn2mGNPMbymJnSvfRoNjag4n+oWJy:7CPhnz+rsrd3xw2zPMewSHSNjag4+nQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16443:IpIIMMAqgiIgG6CCKqxKgpwAqQgiIsQQWSY0knUYCUAjAUE0ZIWYR7RNEMBgjBhFRIAURpAiBAClFmGCAQBNVGJIARdYlYAx

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:e787ffffc7838383
Perceptual Hash:bcc634b2e3c3c1c3
Difference Hash:0e26200616363b3f
Wavelet Hash:e782feff83818181
Color Hash:#291f93

Other Hashes

Crop Resistant:0e26200616363b3f

Scan History

Scan history not available

Unable to load historical scan data