Security Scan Report: lensanetworkcorner-dp73d2pc3rnz.edgeone.app

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Submitted: Completed: publiccompleted

AI Security Verdict

Moderate Risk

Confidence: 75%

5
Risk Score

The page appears to be a news article without credential collection; moderate risk due to unknown subdomain age and obfuscated JavaScript.

Risk Factors (4)
Unknown subdomain creation date on a hosting platform
Domain is unranked in Cisco Umbrella (no reputation)
High JavaScript obfuscation score with base64 and concatenation
External third‑party domains (e.g., cockygoodness.com, accedelid.com) loaded
Safety Factors (5)
Absence of login, credential, or payment forms
No malicious IoC or YARA detections
No network‑level IDS alerts
Page type is an article (informational) rather than a login/checkout page
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 5 to 5
Domain age information unavailable

Details

Page Title

Alex Pereira Salary in Glory: How Kickboxing Earnings Translate to the UFC

Scan Type

public

Domain Name Analysis

You're looking at domain 'lensanetworkcorner-dp73d2pc3rnz.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'lensanetworkcorner-dp73d2pc3rnz'. The core label 'edgeone' covers 7 characters containing four vowels alongside 3 consonants. Splitting it apart reveals two 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/alex-pereira-salary-in-glory.html

Page Load Overview

1.92s
Total Load Time
124 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:4,765 chars
Detector Agreement:80%

Website Classification

Primary Category

corporate business37% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate business
37%
corporate
35%
adult content
35%
blog personal website
33%
government public service
32%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.240.127.243United States
AS7979Servers.com, Inc.
243.152.26.58Singapore
2172.67.150.240United States
AS13335Cloudflare, Inc.
2172.240.127.242United States
AS7979Servers.com, Inc.
2104.18.10.207United States
AS13335Cloudflare, Inc.
2172.66.160.236United States
AS13335Cloudflare, Inc.
2142.251.127.95United States
AS15169Google LLC
157--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T112820A67AA9041385F32024AA1C5B3FC7E7C982BE743CCF4B49CB338AB869C75475658

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:3rgqMWhnYf8zX+n8jXoui3mgLu7oPIzmvFrWag4MVNr:3QWhnz+n8jXoui3hLu8rWag4W5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17796:zIdUziZCxSWtsgACAkMBAYLCQGADiQAxgsDECE2Jrg5EqEOUohXEr2BQJYVyd0BEGETAADVUgpnNoD5AoIpKWGURDCSOMgAl

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:c3c3e7ffc3c7c3c7
Perceptual Hash:b147316c98ce9367
Difference Hash:0e0e0e0006161e1e
Wavelet Hash:80c2c2ffc3c3c3c7
Color Hash:#643a78

Other Hashes

Crop Resistant:0e0e0e0006161e1e

Scan History

Scan history not available

Unable to load historical scan data