Security Scan Report: lensafocusconnect-dpjpocv8k604.edgeone.app

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Submitted: Jun 18, 2026, 12:23:49 AMCompleted: Jun 18, 2026, 12:24:57 AMpubliccompleted
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Summary

This website contacted 8 IPs in 3 countries across 8 domains to perform 2 HTTP transactions. The main domain is lensafocusconnect-dpjpocv8k604.edgeone.app and was registered NaN years ago.

Submitted URL: https://lensafocusconnect-dpjpocv8k604.edgeone.app/alex-pereira-walk-in.html

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

The page is a benign article with no malicious indicators; it poses low risk.

Risk Factors
Domain age unknown (sub‑domain could be newly created)
Low Cisco Umbrella ranking (455,732) for a domain claiming no major brand
Safety Factors
Absence of credential or payment collection forms
No malicious IoC, YARA, or IDS alerts
Content appears to be a legitimate article about a public figure
Domain age information unavailable

Details

Page Title

Inside Alex Pereira's Iconic Walk-Ins: How He Fires Up Crowds Before Fights

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

blog personal website

(67%)

Domain Information

The domain name 'lensafocusconnect-dpjpocv8k604.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'lensafocusconnect-dpjpocv8k604'. The registrable portion 'edgeone' spans 7 characters with 4 vowels and three consonants. Splitting it apart reveals 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://lensafocusconnect-dpjpocv8k604.edgeone.app/alex-pereira-walk-in.html

Page Load Overview

1.94s
Total Load Time
19
HTTP Requests
13
Domains
1.1 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:3,077 chars
Detector Agreement:100%

Website Classification

Primary Category

blog personal website67% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

blog personal website
67%
entertainment media
66%
download file sharing
65%
education learning
51%
adult content
46%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5192.178.183.95United States
AS15169Google LLC
2167.99.103.199Santa Clara, California, United States
AS14061DigitalOcean, LLC
2172.240.127.244United States
AS7979Servers.com, Inc.
2172.240.108.84United States
AS7979Servers.com, Inc.
243.152.26.58Singapore
2104.21.0.120United States
AS13335Cloudflare, Inc.
2146.75.121.74Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
23.160.148.3United States
AS16509Amazon.com, Inc.
198--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B6721813EFC15138A6320195B5C5B3FC79284826E342CCF178ADB339DB8AADB947169D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:hPWVhnYf8zX+1+t2bgM8qG5fzxiZZporWag4MVHC:ZWVhnz+8Zl5fzoZZ6rWag4Wi

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17461:BA8H0BKwyWQJJiJzwgPBGzUSSgjFKVBEUSCvIFUIhkJAMEEdIIfMYoUQAAJQFGgTdQAFQCQ0IQEODrAMYoTJEhwUbAQOgLf6

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:ffffff81838383ff
Perceptual Hash:add3d02c9379c790
Difference Hash:22002b2b2f273717
Wavelet Hash:9effff8181818183
Color Hash:#2d865f

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data