Cross
Everything on SkillVeris tagged Cross — collected across the glossary, study notes, blog, and cheat sheets.
14 resources across 2 libraries
Study Notes(13)
What Is .NET Core?
An overview of .NET Core as Microsoft's open-source, cross-platform runtime and how it evolved into the unified modern .NET.
Anti-Forgery Tokens
How ASP.NET MVC prevents Cross-Site Request Forgery (CSRF) using the @Html.AntiForgeryToken helper and the ValidateAntiForgeryToken filter.
What Is ASP.NET Core?
A cross-platform, open-source, high-performance framework from Microsoft for building web apps, APIs, and microservices on .NET.
Cross-Browser and Device Emulation
How Playwright's project configuration runs the same suite across Chromium, Firefox, and WebKit, and emulates mobile devices, locales, and permissions.
Cross-Browser Testing
Learn how to write and run Selenium tests that validate application behavior consistently across Chrome, Firefox, Edge, and Safari.
Dashboards vs Reports
The structural and behavioral differences between Power BI reports and dashboards — interactivity, refresh timing, alerts, and mobile layout.
Cross-Site WebSocket Hijacking
How attackers exploit the lack of same-origin enforcement on WebSocket handshakes, and the defenses that stop them.
Cross-Site Scripting (XSS) Explained
Understand how attackers inject malicious scripts into web pages viewed by other users, and the three major categories of XSS: stored, reflected, and DOM-based.
Cross-Browser Compatibility
Techniques and tools for ensuring HTML and CSS work consistently across different browsers, including vendor prefixes, feature detection, and testing.
CROSS JOIN and Set Operations
Produce a Cartesian product with CROSS JOIN, and combine query results with UNION, UNION ALL, INTERSECT, and EXCEPT.
Cross-Site Scripting (XSS)
Stored, reflected, and DOM-based XSS explained, with output encoding and CSP as the core defenses.
Cross-Validation Strategies
Learn how k-fold, stratified, and time-series cross-validation give more reliable estimates of model performance than a single train-test split.
Train/Test Split and Cross-Validation
Understand how holding out data and using k-fold cross-validation give an honest estimate of how a model will perform on unseen data.