Security Scan Report: lensacerdascorner-dpuv9krdmclz.edgeone.app

Site favicon
Submitted: Completed: publiccompleted
This website contacted 8 IPs in 3 countries across 14 domains to perform 19 HTTP transactions. The main domain is edgeone.app and was registered 3 years 5 months ago.

Submitted URL: https://lensacerdascorner-dpuv9krdmclz.edgeone.app/alex-pereira-upcoming-fights.html

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

AI Security Verdict

Low Risk

Confidence: 68%

2
Risk Score

Low‑risk page with no malicious indicators; likely a benign article.

Risk Factors (2)
Low Cisco Umbrella ranking (455,732)
Subdomain on hosting platform with unknown creation date
Safety Factors (3)
Absence of credential or payment collection
No malicious scripts or exfiltration behavior detected
Content appears to be a standard news/article page
Domain age information unavailable

Details

Page Title

Alex Pereira's Upcoming Fights: What's Next for the Fighter?

Scan Type

public

Domain Name Analysis

You're looking at domain 'lensacerdascorner-dpuv9krdmclz.edgeone.app' on the application-focused generic top-level domain (.app) and includes subdomain 'lensacerdascorner-dpuv9krdmclz'. The core label 'edgeone' covers 7 characters with 4 vowels and 3 consonants. Breaking it apart gives two 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://lensacerdascorner-dpuv9krdmclz.edgeone.app/alex-pereira-upcoming-fights.html

Page Load Overview

2.08s
Total Load Time
255 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:2,600 chars
Detector Agreement:60%

Website Classification

Primary Category

social media network87% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
87%
adult content
59%
blog personal website
57%
documentation technical
40%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5104.18.11.207United States
AS13335Cloudflare, Inc.
22.19.126.157Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2172.67.150.240United States
AS13335Cloudflare, Inc.
2188.114.97.3United States
AS13335Cloudflare, Inc.
243.152.26.58Singapore
2146.75.30.73Ashburn, Virginia, United States
AS54113Fastly, Inc.
2142.251.110.95United States
AS15169Google LLC
2172.240.127.234United States
AS7979Servers.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

T10D722B67EAE11239E251119AD0C6F6FC792D8027AB43CCF438DD735D5BC6AC78876218

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:PnxqBChnYf8zX+TDdJgl8qo1iKV7pC80Njag4n+DiC:PQChnz+TDdJglfUiQpYNjag4+h

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16162:hIi9QCToSEeTErbPESMJKMLKqCsgZIyoLQFAAJCBAg5kYggYjURqcQQDQIugWBABhJECSCCRGQwRW4Eo0JGsJqYJFzBEApCE

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:1818000000303878
Perceptual Hash:cf30cf3231ce30cd
Difference Hash:6171310d69616555
Wavelet Hash:ff3d19013d213939
Color Hash:#d2799a

Scan History

Scan history not available

Unable to load historical scan data