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In data sanitization, HTML sanitization is the process of examining an HTML document and producing a new HTML document that preserves only whatever tags and attributes are designated "safe" and desired. HTML sanitization can be used to protect against attacks such as cross-site scripting (XSS) by sanitizing any HTML code submitted by a user.
TemplateStyles allow custom CSS pages to be used to style content without an interface administrator having to edit sitewide CSS. TemplateStyles make it more convenient for editors to style templates; for example, those templates for which the sitewide CSS for the mobile skin or another skin (e.g. Timeless) currently negatively affects the display of the template.
creating pages that end in ".css" fits with the requirement at mw:Help:TemplateStyles #How does it work? that stylesheet pages "must have the sanitized-css (Sanitized CSS) content model, which is the default for subpages in the Template namespace that end with .css" and technical advantage that we automatically get a sanitized-css page if we ...
Over in the deli department, an employee said none of the deli slicers, cutting boards, utensils or the meat grinder — the food contact equipment — were sanitized after being cleaned. A Stop ...
An HTML Application (HTA; file extension .hta) is a Microsoft Windows application that uses HTML and Dynamic HTML in a browser to provide the application's graphical interface. A regular HTML file is confined to the security model of the web browser's security , communicating only to web servers and manipulating only web page objects and site ...
Certain foods were seen not kept at proper holding temperatures. An accumulation of grime and food debris was seen on non-contact surfaces. The restaurant had a required followup inspection on May ...
The future of TikTok remains murky as the U.S. Supreme Court considers whether to uphold a law that could ban the social media app due to national security concerns starting Sunday. But there's ...
Furthermore, data sanitization methods may remove useful, non-sensitive information, which then renders the sanitized dataset less useful and altered from the original. There have been iterations of common data sanitization techniques that attempt to correct the issue of the loss of original dataset integrity.