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Security Scan Report: rasacreativestudio-dp19pts6d5j2.edgeone.app

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Submitted: Jun 29, 2026, 4:46:49 PMCompleted: Jun 29, 2026, 4:47:58 PMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 7 domains to perform 2 HTTP transactions. The main domain is rasacreativestudio-dp19pts6d5j2.edgeone.app and was registered NaN years ago.

Submitted URL: https://rasacreativestudio-dp19pts6d5j2.edgeone.app/alex-pereira-vs-ankalaev-when.html

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

Low‑risk informational article with no malicious indicators; likely a legitimate blog page.

Risk Factors
Domain is unranked in Cisco Umbrella
Domain age is unknown (sub‑domain could be newly created)
Hosted on a generic PaaS sub‑domain (edgeone.app)
Safety Factors
Absence of any forms that collect credentials or payment data
No external malicious links or suspicious resources
No IDS/Suricata alerts or network‑level threats
JavaScript obfuscation is consistent with normal minification
Domain age information unavailable

Details

Page Title

Alex Pereira vs Ankalaev: Upcoming Fight Details and Analysis

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

blog personal website

(76%)

Domain Information

The domain 'rasacreativestudio-dp19pts6d5j2.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'rasacreativestudio-dp19pts6d5j2'. The second-level label 'edgeone' is 7 characters long split between 4 vowels and 3 consonants. Word splitting yields 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://rasacreativestudio-dp19pts6d5j2.edgeone.app/alex-pereira-vs-ankalaev-when.html

Page Load Overview

2.65s
Total Load Time
18
HTTP Requests
12
Domains
432 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:3,309 chars
Detector Agreement:100%

Website Classification

Primary Category

blog personal website76% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

blog personal website
76%
download file sharing
75%
phishing scam
74%
government public service
69%
social media network
68%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6104.21.0.120United States
AS13335Cloudflare, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
2104.18.2.157United States
AS13335Cloudflare, Inc.
2172.240.127.242United States
AS7979Servers.com, Inc.
223.52.180.149Frankfurt am Main, Hesse, Germany
AS16625Akamai Technologies, Inc.
2192.178.170.95United States
AS15169Google LLC
2146.75.120.84Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
187--

Detected Technologies2

Open-Graph-Protocolvarticle
100%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CC82F967B7C08338B7224466E597B7FCB854841BE7C2CCB0B4ACA729E7C5AD748B1158

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:dGyhnYf8zX+f022Gi8/a0tmQyWzbvdZSoNjag4n+w2:0yhnz+f022GG01vr/Njag4+r

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17736:AJBhESSBiYoK5Hg3wgQkIGpA4QAAUYAJIArRxECRdERJBhNEGolmFgIJDRoiAooIhGGCJAxCrpAh4yBJCgMQAUj1ZoQJaEFQ

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:8287ffcfc3df8383
Perceptual Hash:bcc334317171d3c3
Difference Hash:0e2c000b07323736
Wavelet Hash:00bfffc3838f8183
Color Hash:#c587a5

Other Hashes

Crop Resistant:0e2c000b07323736

Scan History

Scan history not available

Unable to load historical scan data