Security Scan Report: lideresenprevencion.netlify.app

Redirected to:
https://lideresenprevencion.netlify.app/
Submitted: Completed: publiccompleted
This website contacted 18 IPs in 2 countries across 11 domains to perform 32 HTTP transactions. The main domain is netlify.app and was registered 8 years ago.

Submitted URL: http://lideresenprevencion.netlify.app/

Effective URL:
https://lideresenprevencion.netlify.app/
Redirected

AI Security Verdict

Safe Website

Confidence: 80%

1
Risk Score

Small occupational-safety consultancy site with matching self-branding, a plain contact form and no credential/payment collection. No Indicators of Compromise or malicious content detected; the Netlify subdomain's unknown age is not evidence of abuse.

Safety Factors (5)
No credential or payment collection (password, disguised password and payment field counts all zero)
Self-branding consistent with the domain — no impersonation of another entity
Contact form uses a recognised third-party form backend delivering to the site's own brand email
No Indicators of Compromise, hunting rule, Safe Browsing or IDS hits
Rich, coherent content describing real services, owner name and legal pages
Domain age information unavailable

Details

Page Title

Líderes en Prevención

Scan Type

public

Domain Name Analysis

The domain 'lideresenprevencion.netlify.app' uses the application-focused generic top-level domain (.app) with subdomain 'lideresenprevencion'. The core label 'netlify' covers 7 characters with two vowels and 5 consonants. Breaking it apart gives 3 words: net, li, fy. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Contacto Nosotros Servicios Primer cons Sobre mi Soy psicologa especialista en gerencia de seguridad y salud en el trabajo, con « más de 10 años de experiencia en diferentes actividades económicas...

Page Load Overview

1.38s
Total Load Time
2.0 MB
Total Size

Language Analysis

Primary Language

🇪🇸Spanish
Code: es
Confidence:52%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en
Text Length:2,578 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as es

All Detected Languages

🇪🇸es(97%)🇵🇹pt(3%)

Website Classification

Primary Category

government public service80% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
80%
healthcare medical
79%
corporate business
71%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1763.176.8.218Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
2104.16.180.112Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
2104.17.25.14Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
135.157.26.135Aws · CLOUDFrankfurt am Main, Hesse, Germany
AS16509Amazon.com, Inc.
1142.251.20.97Google · CDNUnited States
AS15169Google LLC
1142.251.14.95Google · CDNUnited States
AS15169Google LLC
1192.178.183.94Google · CDNUnited States
AS15169Google LLC
1142.251.20.154Google · CDNUnited States
AS15169Google LLC
1142.251.155.119Google · CDNUnited States
AS15169Google LLC
1142.250.154.149Google · CDNUnited States
AS15169Google LLC
3218--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T112025330A6842623825B18CDBB61934F38F7C30DDA2B4955A3FC87995BC6D89DE1648A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nm5KMMCpD4+vnpfRohNXjIWg/NiSbAcWcBG7lBcTwL0CYTi6qldOgow6/WqSvHQD:mgMpvnpGhNXjITiSbAcWQG7ru3vWqC3C

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:8514:jIBKU0GsElY6E6RwAwYJAawMspympLAkFJYfGMME+bCMFQAAoEAJqRIG4AKIIIZYQiBABcCYERgRUaIGUC2kciZIoQZMmgQ4

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:ff00e0c0301000ff
Perceptual Hash:c4f3bb94c2b9d302
Difference Hash:94234585e5b4b5c5
Wavelet Hash:ff90e0e07c1801ff
Color Hash:06201000180

Scan History

Scan history not available

Unable to load historical scan data