En este tema
Training · Labs · Publications · Exercises · Careers · Communities
Guías prácticas
Build a cybersecurity learning path
How can cybersecurity progress be measured? Choose a task you must explain and carry out in an authorised lab. Define prerequisites, documentation, exercises and the expected outcome. Learning evidence can be an annotated configuration, log analysis or reproducible report. Distinguish observed results, assumptions and lab limitations before applying an exercise to a real environment.
Leer la guía ENVigilancia informativa
Toda la actualidad internacional →Titulares guardados · actualización no disponible · Última recuperación correcta : 22 oct 2026, 21:24
China abre una investigación de ciberseguridad contra Palo Alto Networks - Business Insider España
via Google News · aggregatorChina abre investigación de ciberseguridad sobre los productos de Palo Alto Networks - El Economista
via Google News · aggregatorEl Incibe viaja a Barcelona para impulsar la investigación en Ciberseguridad - Heraldo de León
via Google News · aggregatorReferencias: datos, usos y límites
Documentación consultada el .
Las notas detalladas de esta edición están disponibles en inglés.
| Fuente y finalidad | Dato o referencia verificada | Cómo utilizarla | Límite que debe conservarse |
|---|---|---|---|
| MITRE · Common Weakness Enumeration Name classes of software and hardware weakness. |
A CWE describes a weakness that can contribute to vulnerabilities. It does not represent a particular incident. | Connect the weakness to the observed mechanism: input, processing and missing control. Use it to fix the cause and plan regression tests. | A keyword in a report alone does not establish the correct CWE classification. |
| W3C · WCAG 2.2 Evaluate accessibility criteria for web content. |
WCAG 2.2 is a W3C Recommendation. Success criteria have A, AA and AAA levels. | Define tasks, pages and states, then combine inspection, keyboard, zoom and relevant assistive technology. Keep reproduction steps for barriers. | An automated scanner does not establish conformity of a complete journey. Evaluation must cover interactive states and actual content. |
| Google · Core Web Vitals Distinguish loading, responsiveness and visual stability. |
Good thresholds are LCP ≤ 2.5 s, INP ≤ 200 ms and CLS ≤ 0.1 at the 75th percentile, segmented by mobile and desktop. | Separate field measurement from laboratory tests. Record period, URL, device, population and sample size before comparing changes. | These thresholds are not measured results for this site. A good lab score alone does not establish visitor experience. |