Security Scan Report: lensanetworkcorner-dp73d2pc3rnz.edgeone.app

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Submitted: Jun 22, 2026, 12:19:49 AMCompleted: Jun 22, 2026, 12:20:56 AMpubliccompleted
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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 lensanetworkcorner-dp73d2pc3rnz.edgeone.app and was registered NaN years ago.

Submitted URL: https://lensanetworkcorner-dp73d2pc3rnz.edgeone.app/acl-tickets-austin-resale.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%

3
Risk Score

The site shows a highly obfuscated script and low reputation but lacks forms or brand impersonation, resulting in a moderate risk rating.

Risk Factors
High JavaScript obfuscation (potential hidden malicious behavior)
Unknown sub‑domain age on edgeone.app
Low domain reputation ranking
External references to low‑reputation domains (e.g., cockygoodness.com, histats.com)
Safety Factors
No login, credential, or payment forms
Page marked as an article (og:type=article) – brand mentions are reporting, not impersonation
No Indicators of Compromise or malware detections
No network IDS alerts
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 4 to 3
Domain age information unavailable

Details

Page Title

ACL Tickets Austin Resale: How to Secure Seats Before They Sell Out

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(78%)

Domain Information

The domain 'lensanetworkcorner-dp73d2pc3rnz.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'lensanetworkcorner-dp73d2pc3rnz'. The core label 'edgeone' covers 7 characters with 4 vowels and three consonants. Segmentation suggests 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://lensanetworkcorner-dp73d2pc3rnz.edgeone.app/acl-tickets-austin-resale.html

Page Load Overview

1.61s
Total Load Time
14
HTTP Requests
12
Domains
88 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:3,826 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media78% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
78%
e-commerce shopping
63%
travel tourism
55%
government public service
52%
finance banking
51%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2104.21.49.239United States
AS13335Cloudflare, Inc.
2104.18.11.207United States
AS13335Cloudflare, Inc.
2192.178.183.95United States
AS15169Google LLC
2172.240.127.243United States
AS7979Servers.com, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
2172.240.127.244United States
AS7979Servers.com, Inc.
243.152.26.58Singapore
147--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T161721827AE9162389A320289A4D177EC7E3D8023E747CCF4B5DDB3249BC16CB2475A60

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:3rgqMEhnYf8zX+nYrPmsid7ZH9h2mFrWag4MVeA:3QEhnz+nYrPmsiVZdh2MrWag4WX

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16437:IEgAvwxdOB/ZBQAOGpGJDMAC1JFDHAUljMGQCQCGAgQgkEwMCoGEJssodCddHCEAg4AgBAgwUEmRCBwYujguIktUFTQ2EhmA

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:c3c3e7ffc3c7c3c3
Perceptual Hash:b5c73028cc96d766
Difference Hash:0e0e0c00161e1e1e
Wavelet Hash:00c2e6fec3c7c3c3
Color Hash:#ac5372

Other Hashes

Crop Resistant:0e0e0c00161e1e1e

Scan History

Scan history not available

Unable to load historical scan data