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Security Scan Report: lensanetworkcorner-dp73d2pc3rnz.edgeone.app

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Submitted: Jun 27, 2026, 6:41:12 AMCompleted: Jun 27, 2026, 6:42:21 AMpubliccompleted
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Summary

This website contacted 7 IPs in 3 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-in-austin-texas.html

AI Security Verdict

Low Risk

Confidence: 85%

3
Risk Score

The site appears to be a low‑risk informational article with no credential collection or malicious indicators.

Risk Factors
High JavaScript obfuscation score (critical)
Unranked domain with unknown sub‑domain age
Presence of several external third‑party domains
Safety Factors
Absence of any login, password, or payment fields
No malicious threat‑intel matches (IoC, YARA, IDS)
Content type is an article/news piece rather than a phishing kit
Domain age information unavailable

Details

Page Title

ACL in Austin Texas: Common Mistakes and Smarter Alternatives

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(85%)

Domain Information

The domain name 'lensanetworkcorner-dp73d2pc3rnz.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'lensanetworkcorner-dp73d2pc3rnz'. The registrable portion 'edgeone' spans 7 characters with 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://lensanetworkcorner-dp73d2pc3rnz.edgeone.app/acl-in-austin-texas.html

Page Load Overview

1.83s
Total Load Time
15
HTTP Requests
13
Domains
285 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:2,739 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical85% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
85%
government public service
57%
blog personal website
47%
adult content
44%
education learning
39%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.240.127.242United States
AS7979Servers.com, Inc.
2172.240.253.132Ashburn, Virginia, United States
AS7979Servers.com, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
2142.251.110.95United States
AS15169Google LLC
245.43.142.102United Kingdom
AS16276OVH SAS
2104.18.11.207United States
AS13335Cloudflare, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
157--

Detected Technologies3

Open-Graph-Protocolvarticle
100%
Bootstrapv4.1.3
100%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1CD620967BFC1502C96220289A582B7FC7A7D8027E742DCF574ACB3788BC26C79475728

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:3rgqMVhnYf8zX+nraIkIiJUQTE/AtKFrWag4MVI8:3QVhnz+nraIkIiJgRrWag4WN

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:14950:Aj7OzCiBE11SgCAEQAIQCGJeTDPABQM4WcGzIQcATgYwTLzg4mVcwMVJYuRARJbAAgEkTAqQwg1onNnQAiOqsEABCIEBoBBk

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:b547302eccd3c732
Difference Hash:0e0e0c00161e1e1e
Wavelet Hash:00c2c2fec3dfc3c3
Color Hash:#d24e2d

Other Hashes

Crop Resistant:0e0e0c00161e1e1e

Scan History

Scan history not available

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