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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.
A code sanitizer is a programming tool that detects bugs in the form of undefined or suspicious behavior by a compiler inserting instrumentation code at runtime. The class of tools was first introduced by Google's AddressSanitizer (or ASan) of 2012, which uses directly mapped shadow memory to detect memory corruption such as buffer overflows or accesses to a dangling pointer (use-after-free).
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 ...
The following restaurant inspections with critical violations were conducted by Richland Public Health between March 20 and March 26: GLCAP Migrant and Seasonal Head Start Shiloh Center, 26 ...
Food containers were seen washed but not sanitized. The restaurant had a required followup inspection on June 27 and got an A grade. Saltwater Cowboys at 130 Mill Street in Mount Pleasant.
"What you had to do, the hard work, the commitment, the dedication, the lucky breaks, the bounces that went your way." He adds that both of his Super Bowl wins weren't exactly expected.
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.