Security Scan Report: lensanetworkblog-dpmeobwj7c3a.edgeone.app

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Submitted: Jun 17, 2026, 12:42:30 PMCompleted: Jun 17, 2026, 12:43:41 PMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 9 domains to perform 2 HTTP transactions. The main domain is lensanetworkblog-dpmeobwj7c3a.edgeone.app and was registered NaN years ago.

Submitted URL: https://lensanetworkblog-dpmeobwj7c3a.edgeone.app/acl-festival-austin-2026.html

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

AI Security Verdict

Low Risk

Confidence: 82%

2
Risk Score

Low risk – the page is an informational article with no malicious indicators.

Risk Factors
Low Cisco Umbrella ranking (455,732) for the sub‑domain
Domain age unknown (sub‑domain could be newly created)
Hosted on a generic edgeone.app sub‑domain
Safety Factors
Absence of forms that collect credentials or payment data
No external malicious script or network activity detected
No IoC or YARA malware matches
Content appears to be a standard informational article about a public event
Domain age information unavailable

Details

Page Title

ACL Festival Austin 2026: What to Expect from the Upcoming Event

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(83%)

Domain Information

Within the application-focused generic top-level domain (.app), 'lensanetworkblog-dpmeobwj7c3a.edgeone.app' is registered; it also runs on subdomain 'lensanetworkblog-dpmeobwj7c3a'. The registrable portion 'edgeone' spans 7 characters split between 4 vowels and 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://lensanetworkblog-dpmeobwj7c3a.edgeone.app/acl-festival-austin-2026.html

Page Load Overview

2.04s
Total Load Time
18
HTTP Requests
14
Domains
447 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:3,386 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media83% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
83%
e-commerce shopping
51%
government public service
50%
documentation technical
43%
adult content
39%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2104.21.0.120United States
AS13335Cloudflare, Inc.
2172.240.127.242United States
AS7979Servers.com, Inc.
2188.114.97.3United States
AS13335Cloudflare, Inc.
2162.240.46.209Phoenix, Arizona, United States
AS46606Unified Layer
2192.124.249.68Menifee, California, United States
AS30148Sucuri
218.66.112.70United States
AS16509Amazon.com, Inc.
274.125.29.95United States
AS15169Google LLC
243.152.26.58Singapore
254.192.35.86United States
AS16509Amazon.com, Inc.
189--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F472F727EAC0211867620145B5D2B7EC793C9027D3028DE1B4ECF338DBC5BEB59B2299

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:SG7hnYf8zX+zL6Vrl6siDc6bnsq2Mq6NG1SoNjag4n+Ku:R7hnz+zgjiDbbsqXNG1/Njag4+D

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16909:LgARBwESYpg4IWL1kikqDyAGMCHC6EywdQDHAAI4gyMsDipAAQgBAiJAjYkZTKkpFhMYhKGSKFkAFw8GBMQwU0iMeiEShB5g

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:1000000000007878
Perceptual Hash:cb36c936c91c3cc9
Difference Hash:f1c10161d165d1d3
Wavelet Hash:197901017d7d7979
Color Hash:#d2799a

Scan History

Scan history not available

Unable to load historical scan data