Security Scan Report: www.lecturacancha.com.mx

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Submitted: Completed: publiccompleted
This website contacted 5 IPs in 1 country across 3 domains to perform 86 HTTP transactions. The main domain is lecturacancha.com.mx and was registered 1 month ago.

Submitted URL: https://www.lecturacancha.com.mx/manchester-city-vs-paris-saint-germain-pronstico-2-2-uefa-champions-league/

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

New, unranked Mexican football-prediction blog with search-only forms, no credential/payment capture, no impersonation and no threat-intel hits — weak priors only, low risk.

Risk Factors (3)
Domain only 53 days old and unranked, on a topic (sports betting predictions) commonly used for spam/affiliate abuse
Content classifier flags gambling/betting content, which is monetization-sensitive in some jurisdictions
Third-party script/analytics host sporttrack.ggseo.hk originates outside the site's own domain and is unfamiliar
Safety Factors (6)
No credential, password or payment collection anywhere on the page
No brand impersonation — the site displays its own brand (Lectura Cancha) and discusses clubs as subject matter
Site declares a physical address and includes 'Sobre Nosotros'/'Contacto' pages
Explicit responsible-gambling disclaimer stating the analysis is not a betting recommendation
Same-site redirects only; no cross-domain navigation chains
Zero threat-intelligence, YARA, IDS or Safe Browsing hits
Domain age information unavailable

Details

Page Title

Manchester City vs Paris Saint Germain: pronóstico 2-2, UEFA Champions League | Análisis Predicciones Fútbol Durango México

Scan Type

public

Domain Name Analysis

The domain 'www.lecturacancha.com.mx' uses the Mexican country-code top-level domain (.com.mx) and includes subdomain 'www'. The registrable portion 'lecturacancha' spans 13 characters containing five vowels alongside 8 consonants. Tokenizing the label suggests 4 words: lec, tura, can, cha. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.lecturacancha.com.mx/manchester-city-vs-paris-saint-germain-pronstico-2-2-uefa-champions-league/

Page Load Overview

4.83s
Total Load Time
1006 KB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:es
Text Length:10,603 chars
Detector Agreement:40%

Website Classification

Primary Category

gambling betting80% confidence
Type: spa
Method: ml+structural

All Detected Categories

gambling betting
80%
news media journalism
76%
adult content
66%
entertainment media
62%
government public service
53%

Detected Features

Search
Articles
OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
18188.114.96.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
17104.17.208.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
17216.152.154.180Dallas, Texas, United States
AS63023GTHost
17188.114.97.9Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
17104.17.207.5Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
865--

Detected Technologies11

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18014C4A13C8B1039211F728F9047B75CB19278DADD64B2E2F3B94106BBB5DD537D2A0A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:+OCCVPlMcNvdQqNlfLRAn9CXTnJfMyWItxp42:+AVPlMcNvdDl9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:191102:FEdQgEhDILu6LQh4nJBEkhQxeoJiAUUSCUKDFIQYEAyIuMQg4QQOFNgE6QCIHFACACEoIAhmBAmOoAABhQE2dcsQ8Dgki6Qp

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:00ffe1e3e3e1f3ff
Perceptual Hash:e31b9c6d1c72634c
Difference Hash:79070f0f030b0726
Wavelet Hash:00e3e1e1e1e1e1f7
Color Hash:#9f53ac

Scan History

Scan history not available

Unable to load historical scan data