Let's have this sample text given in $_POST:Ī backslash ( \ ), a single-quote ( ' ), a double-quote ( " ) and a null character ( \0 ) The goal is to leave the input untouched in PHP 5.2.8. $f1 = trim ( filter_var ( stripslashes ( $_POST ), FILTER_SANITIZE_STRING )) This code shows the behavior (copy into "test.php"). After several hours I found that stripslashes() made the string longer and hence it wasn't "equal" for the query. When matching strings with approstrophes against the mysql database, my query kept failing while it worked fine when I copied the same query directly to perform the database query. $result->$column = stripslashes($result->$column) Printp(sprintf("strip_slashes_mysql_results: %s",strip_slashes_mysql_results)) While($row = mysql_fetch_object($queryresult))įunction strip_slashes_mysql_results($result, $columns) $row_meta = $this->strip_slashes_mysql_results($row, $columns) ![]() While($row = mysql_fetch_row($queryresult)) $columns = mysql_field_names ($queryresult) $queryresult = mysql_query($querystring, $this->link) This way, my data is already clean by the time I want to use it.įunction db_query($querystring, $array, $columns) I do it by passing the sql result and the sql columns to the function strip_slashes_mysql_results. Here is code I use to clean the results from a MySQL query using the stripslashes function. When talking to mysql these are the real_escape_string functions for instance, for HTML it is htmlentities() or htmlspecialchars().Getting Started Introduction A simple tutorial Language Reference Basic syntax Types Variables Constants Expressions Operators Control Structures Functions Classes and Objects Namespaces Enumerations Errors Exceptions Fibers Generators Attributes References Explained Predefined Variables Predefined Exceptions Predefined Interfaces and Classes Predefined Attributes Context options and parameters Supported Protocols and Wrappers Security Introduction General considerations Installed as CGI binary Installed as an Apache module Session Security Filesystem Security Database Security Error Reporting User Submitted Data Hiding PHP Keeping Current Features HTTP authentication with PHP Cookies Sessions Dealing with XForms Handling file uploads Using remote files Connection handling Persistent Database Connections Command line usage Garbage Collection DTrace Dynamic Tracing Function Reference Affecting PHP's Behaviour Audio Formats Manipulation Authentication Services Command Line Specific Extensions Compression and Archive Extensions Cryptography Extensions Database Extensions Date and Time Related Extensions File System Related Extensions Human Language and Character Encoding Support Image Processing and Generation Mail Related Extensions Mathematical Extensions Non-Text MIME Output Process Control Extensions Other Basic Extensions Other Services Search Engine Extensions Server Specific Extensions Session Extensions Text Processing Variable and Type Related Extensions Web Services Windows Only Extensions XML Manipulation GUI Extensions Keyboard Shortcuts ? This help j Next menu item k Previous menu item g p Previous man page g n Next man page G Scroll to bottom g g Scroll to top g h Goto homepage g s Goto search You should do that for all data, even when you verfied the format beforehand to be on the safe side. ![]() Then when sending data of to a database or putting it in HTML or any of these things oyu have to escape it accordingly to the system you are using. Sometimes it makes sense to clean first an validate then or doing it at once (preg_replace) While "early" depends on your achitecture. Which is good.īoth of these things should be done early in your script. ![]() This has no security benefit but improves the overall quality of your data. The tools there depend on the case, regular expression (preg_match) are often a good choice.Ĭleaning data is often not really needed, but nice, for instance if a user types in some value use trim() to split of some whitespaces, which might be mistakes from copy and paste or such. ![]() This not only has security benefits but also prevents some (not all) errors of wrong data. For instance if you expect a birth date you check whether the format is correct and maybe even whether the date amkes sense. The validation is to check whether the data you've got makes any sense.
0 Comments
Leave a Reply. |