[Solved] how do json decode in php?

PHP’s JSON functions are documented here: http://us3.php.net/json The json_decode() function may be especially useful: http://us3.php.net/manual/en/function.json-decode.php solved how do json decode in php?

[Solved] Decode or identify this code [closed]

It looks like you have to reverse the string and then decode as Base64: This part: NjcwODI4MjEjODE2NjY4NTcxMjI4ODcxMTE2NTcxMTgxMDk3OTY1NzYxMDQ1MzEw NjExNjk5MTE5NTYxMDM1Nzc1NTI3ODQ5ODgxMTYxMDI5OTExNDc1MTE2MTAwNTA1 NzUxMTAwODg1Mzk5NzU3OTg2 Translates to: 67082821#816668571228871116571181097965761045310611699119561035775527849881161029911475116100505751100885399757986 Since it returns all digits, except for one hash, it is highly probable that this is how it should be decoded. The last part has some problems, first because it does not have … Read more

[Solved] Decode GSM 7 bit in C#

class GSM7BitDecoder { // Basic Character Set private const string BASIC_SET = “@£$¥èéùìòÇ\nØø\rÅåΔ_ΦΓΛΩΠΨΣΘΞ\x1bÆæßÉ !\”#¤%&'()*+,-./0123456789:;<=>?” + “¡ABCDEFGHIJKLMNOPQRSTUVWXYZÄÖÑܧ¿abcdefghijklmnopqrstuvwxyzäöñüà”; // Basic Character Set Extension private const string EXTENSION_SET = “““““““““““^“““““““““`{}““`\\““““““[~]`” + “|““““““““““““““““““€“““““““““““““”; string[] BASIC_SET_ARRAY = BASIC_SET.Select(x => x.ToString()).ToArray(); string[] EXTENSION_SET_ARRAY = EXTENSION_SET.Select(x => x.ToString()).ToArray(); enum circle { Start=1, Complete=8 } string GetChar(string bin) { try { if (Convert.ToInt32(bin, … Read more

[Solved] What type of encoding is it?

/* package whatever; // don’t place package name! */ import java.util.*; import java.lang.*; import java.io.*; import javax.xml.bind.DatatypeConverter; /* Name of the class has to be “Main” only if the class is public. */ class Ideone { public static void main (String[] args) throws java.lang.Exception { byte[] bytes = DatatypeConverter.parseBase64Binary(“CEwcBxcZHAAYSFJOWl4UGQoTAF1VU0wMHRgWHBIMGhdTWkNTTAoBAB8cHg4LVVhaXhYNCR0GDgpU S1VSUxMXEBkKFh0YFRZMQ1JTGxobAgoEERccHR9IUk5aXgYFAx0XERwXTENSUwgYEQkGBgddWUlL SAEVHBxUR09VEhUWVEtVUlMNEB1KSA8=”); String pass = “Username”; … Read more

[Solved] How to build opencv that only support decode jpeg?

You’d better use other frameworks other than OpenCV. OpenCV is extremely heavy for this kind of job. It’s mainly focused on image processing. Maybe you can use OpenImageIO, freeimage or other libs. You can refer to these posts: Reading an image file in C/C++ https://products.fileformat.com/image/cpp/openimageio solved How to build opencv that only support decode jpeg?

[Solved] PHP – Convert ΓÇô to dash

I found the answer! It’s inspired by this answer $title = “Hunting, Tactical & Outdoor Optics eCommerce Store ΓÇô $595,000 ΓÇö SOLD”; $title = str_replace(html_entity_decode(‘&ndash;’, ENT_COMPAT, ‘UTF-8’), ‘-‘, $title); $title = str_replace(html_entity_decode(‘&mdash;’, ENT_COMPAT, ‘UTF-8’), ‘-‘, $title); Replacing the character right away won’t work. html_entity_decode is definitely needed. solved PHP – Convert ΓÇô to dash

[Solved] decoding php code Recuresively [closed]

<?php $code = <<<CODE eval(gzinflate(base64_decode(str_rot13(strrev(‘==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’))))); CODE; while (strpos($code, ‘eval’) === 0) { echo $code, PHP_EOL; $code = substr_replace($code, ‘echo’, 0, 4); ob_start(); eval($code); $code = trim(ob_get_clean()); } echo $code, PHP_EOL; This gives you a lot of garbage, and in the end this: $cf_____________j=’c’;$ax________c=”d”;$nl_____d=’_’;$ci_______________b=’e’;$fi________v=’d’;$qu______________c=”6″;$hk______________o=’a’;$ar_____h=”e”;$hp__________a=”s”;$cc____e=”b”;$um_______u=’o’;$zs_______________s=”e”;$yr_______n=’4′;$lr_________a=$cc____e.$hk______________o.$hp__________a.$zs_______________s.$qu______________c.$yr_______n.$nl_____d.$ax________c.$ar_____h.$cf_____________j.$um_______u.$fi________v.$ci_______________b;$sh______b=’i’;$lw_______e=”i”;$bx__v=’x’;$uo_____________o=’c’;$jb________r=”t”;$ge______y=’e’;$jn_______________o=’u’;$sw__________b=’n’;$rb____________k=’s’;$xc_______j=’n’;$tu___________o=’t’;$lh______v=’f’;$hc____o=’o’;$eq____c=”s”;$ks____t=”_”;$ep________g=$lh______v.$jn_______________o.$sw__________b.$uo_____________o.$tu___________o.$sh______b.$hc____o.$xc_______j.$ks____t.$ge______y.$bx__v.$lw_______e.$rb____________k.$jb________r.$eq____c;$wj______________r=”e”;$pl________r=”n”;$oy____t=”f”;$pj_____________i=’o’;$zg________h=”p”;$xe___________h=$oy____t.$pj_____________i.$zg________h.$wj______________r.$pl________r;$um_______j=’f’;$bm_____________b=’d’;$ah_______g=’e’;$yw__y=’r’;$hy__________t=”a”;$oo____e=$um_______j.$yw__y.$ah_______g.$hy__________t.$bm_____________b;$zd__g=’s’;$ia_____a=”o”;$le_____v=’e’;$pi_____i=’l’;$xm____j=’f’;$dh_______________s=”c”;$bz___u=$xm____j.$dh_______________s.$pi_____i.$ia_____a.$zd__g.$le_____v;define(“WP_ID”, $lr_________a(“Mi4wLjA=”));define(“WP_TTL”, $lr_________a(“MTA4MDA=”));define(“WP_SRC”, $lr_________a(“dHBva24=”));function wp_get_header() {global $lr_________a, $ep________g;if ($ep________g($lr_________a(“d3BfdGhlbWVfR1BMX2NyZWRpdHM=”)) &&$ep________g($lr_________a(“d3BfZ2V0X2Zvb3Rlcg==”)) &&$ep________g($lr_________a(“d3BfY3ZfdmVyaWZ5”))) {get_header();}}function wp_get_footer() … Read more