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HTTP header injection. HTTP request smuggling. HTTP response splitting. HTTP parameter pollution. v. t. e. HTTP 403 is an HTTP status code meaning access to the requested resource is forbidden. The server understood the request, but will not fulfill it, if it was correct.
The RFC specifies this code should be returned by teapots requested to brew coffee. [18] This HTTP status is used as an Easter egg in some websites, such as Google.com's "I'm a teapot" easter egg. [19] [20] [21] Sometimes, this status code is also used as a response to a blocked request, instead of the more appropriate 403 Forbidden. [22] [23]
Origin (data analysis software) English, German, Chinese and Japanese. Origin is a proprietary computer program for interactive scientific graphing and data analysis. It is produced by OriginLab Corporation, and runs on Microsoft Windows. It has inspired several platform-independent open-source clones and alternatives like LabPlot and SciDAVis.
The HTTP response status code 303 See Other is a way to redirect web applications to a new URI, particularly after a HTTP POST has been performed, since RFC 2616 (HTTP 1.1). According to RFC 7231, which obsoletes RFC 2616, "A 303 response to a GET request indicates that the origin server does not have a representation of the target resource ...
Same-origin policy. In computing, the same-origin policy (SOP) is a concept in the web application security model. Under the policy, a web browser permits scripts contained in a first web page to access data in a second web page, but only if both web pages have the same origin. An origin is defined as a combination of URI scheme, host name, and ...
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X.3.XXX Mail System Status. X.4.XXX Network and Routing Status. X.5.XXX Mail Delivery Protocol Status. X.6.XXX Message Content or Media Status. X.7.XXX Security or Policy Status. The meaning of the "detail" field depends on the class and the subject, and are listed in RFC 3463 and RFC 5248. A server capable of replying with an Enhanced Status ...
V is the number of false positives (Type I error) (also called "false discoveries") S is the number of true positives (also called "true discoveries") T is the number of false negatives (Type II error) U is the number of true negatives = + is the number of rejected null hypotheses (also called "discoveries", either true or false)