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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.
HTTP response splitting is a form of web application vulnerability, resulting from the failure of the application or its environment to properly sanitize input values.It can be used to perform cross-site scripting attacks, cross-user defacement, web cache poisoning, and similar exploits.
A URL will often comprise a path, script name, and query string.The query string parameters dictate the content to show on the page, and frequently include information opaque or irrelevant to users—such as internal numeric identifiers for values in a database, illegibly encoded data, session IDs, implementation details, and so on.
In some file formats, unused portions of memory are saved that may still contain fragments of previous versions of the text. Where text is redacted, in Portable Document (PDF) or word processor formats, by overlaying graphical elements (usually black rectangles) over text, the original text remains in the file and can be uncovered by simply ...
A typical use case occurs when a web user submits a web form on a web page that uses CGI. The form's data is sent to the web server within a HTTP request with a URL denoting a CGI script. The web server then launches the CGI script in a new computer process , passing the form data to it.
This template places the article into both of the following categories: Category:All articles with bare URLs for citations — 36,075 pages; Category:Articles with bare URLs for citations or a dated subcategory thereof, currently
For a web application loaded from the file system, i.e., from a file:// URL, Dojo Storage will transparently use XPCOM on Firefox and ActiveX on Internet Explorer to persist information. The programmer using Dojo Storage is abstracted from the storage mechanism used and is presented with a simple hash table abstraction, with methods such as put ...
These data types are termed soft for electronic files and hard for physical media paper copies. Data sanitization methods are also applied for the cleaning of sensitive data, such as through heuristic-based methods, machine-learning based methods, and k-source anonymity.