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Security Scan Report: lensacerdascorner-dpuv9krdmclz.edgeone.app

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Submitted: Jun 24, 2026, 3:36:11 PMCompleted: Jun 24, 2026, 3:37:19 PMpubliccompleted
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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 lensacerdascorner-dpuv9krdmclz.edgeone.app and was registered NaN years ago.

Submitted URL: https://lensacerdascorner-dpuv9krdmclz.edgeone.app/alex-pereira-vs-jamahal.html

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

Low‑risk article page; no credential collection or malicious activity detected.

Risk Factors
Unranked domain (not in Cisco Umbrella top 1M)
Subdomain on a hosting platform with unknown age
High JavaScript obfuscation score (though likely benign)
Safety Factors
Page type is an article (og:type=article) with no phishing intent
No external malicious links or IoC domains referenced
No credential exfiltration or cross‑origin form submissions
Domain age information unavailable

Details

Page Title

Alex Pereira vs. Jamahal Hill: Analyzing Strategies and Pitfalls in MMA

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(35%)

Domain Information

Within the application-focused generic top-level domain (.app), 'lensacerdascorner-dpuv9krdmclz.edgeone.app' is registered, featuring subdomain 'lensacerdascorner-dpuv9krdmclz'. The second-level label 'edgeone' is 7 characters long containing four vowels alongside 3 consonants. Tokenizing the label suggests 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://lensacerdascorner-dpuv9krdmclz.edgeone.app/alex-pereira-vs-jamahal.html

Page Load Overview

1.94s
Total Load Time
13
HTTP Requests
11
Domains
33 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:7,623 chars
Detector Agreement:80%

Website Classification

Primary Category

corporate35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate
35%
adult content
31%
documentation technical
29%
news media journalism
29%
government public service
25%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3142.251.13.95United States
AS15169Google LLC
2128.65.195.112Switzerland
AS29222Infomaniak Network SA
2104.18.10.207United States
AS13335Cloudflare, Inc.
2172.240.108.68United States
AS7979Servers.com, Inc.
243.152.26.58Singapore
AS139341ACE
2104.21.0.120United States
AS13335Cloudflare, Inc.
136--

Detected Technologies4

Open-Graph-Protocolvarticle
100%
Bootstrapv4.1.3
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

T15D920A37BB901338663201A7908AF6FCBB2DD82AE742CCF574AC632C67859975476394

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:PnxqBohnYf8zX+BO7LgI4LqW8TrHUBqx9BRaJVnU2jwn688Q6+b2W80Njag4n+aN:PQohnz+BO7LgI4j8TrUUApjOR8j+b2Ew

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:20070:FwqeYQIK8EGGJSYEsGsPgQw4gCgbCMJIwW8AOwAREUNVJNAAKjwIqy2AQAKBfhDg1bLADjEBBSoUHMNAnMSCDAMcCGDbHgIY

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:391801013d3d3d3d
Perceptual Hash:8a3ccfcb2626c66c
Difference Hash:7171310d69696969
Wavelet Hash:393d11013d3d3d3d
Color Hash:#6f931f

Other Hashes

Crop Resistant:464646800200200e,7171310d69696969

Scan History

Scan history not available

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