有很多MD5 JavaScript实现。 有人知道哪一个是最先进的，修复最多的，最快的吗?
我需要它来做这个工具。
当前回答
我听说Joseph的Myers实现非常快。此外，他还有一篇关于Javascript优化的长篇文章，描述了他在编写实现时学到的东西。对于任何对性能javascript感兴趣的人来说，这是一本很好的读物。
http://www.webreference.com/programming/javascript/jkm3/
他的MD5实现可以在这里找到
其他回答
我只需要支持支持类型化数组(DataView, ArrayBuffer等)的HTML5浏览器。 我认为我采取了约瑟夫迈尔斯代码，并修改它，以支持传递在Uint8Array。我没有捕捉到所有的改进，仍然可能有一些char()数组构件可以改进。我需要它来添加到PouchDB项目。
var PouchUtils = {};
PouchUtils.Crypto = {};
(function () {
PouchUtils.Crypto.MD5 = function (uint8Array) {
function md5cycle(x, k) {
var a = x[0], b = x[1], c = x[2], d = x[3];
a = ff(a, b, c, d, k[0], 7, -680876936);
d = ff(d, a, b, c, k[1], 12, -389564586);
c = ff(c, d, a, b, k[2], 17, 606105819);
b = ff(b, c, d, a, k[3], 22, -1044525330);
a = ff(a, b, c, d, k[4], 7, -176418897);
d = ff(d, a, b, c, k[5], 12, 1200080426);
c = ff(c, d, a, b, k[6], 17, -1473231341);
b = ff(b, c, d, a, k[7], 22, -45705983);
a = ff(a, b, c, d, k[8], 7, 1770035416);
d = ff(d, a, b, c, k[9], 12, -1958414417);
c = ff(c, d, a, b, k[10], 17, -42063);
b = ff(b, c, d, a, k[11], 22, -1990404162);
a = ff(a, b, c, d, k[12], 7, 1804603682);
d = ff(d, a, b, c, k[13], 12, -40341101);
c = ff(c, d, a, b, k[14], 17, -1502002290);
b = ff(b, c, d, a, k[15], 22, 1236535329);
a = gg(a, b, c, d, k[1], 5, -165796510);
d = gg(d, a, b, c, k[6], 9, -1069501632);
c = gg(c, d, a, b, k[11], 14, 643717713);
b = gg(b, c, d, a, k[0], 20, -373897302);
a = gg(a, b, c, d, k[5], 5, -701558691);
d = gg(d, a, b, c, k[10], 9, 38016083);
c = gg(c, d, a, b, k[15], 14, -660478335);
b = gg(b, c, d, a, k[4], 20, -405537848);
a = gg(a, b, c, d, k[9], 5, 568446438);
d = gg(d, a, b, c, k[14], 9, -1019803690);
c = gg(c, d, a, b, k[3], 14, -187363961);
b = gg(b, c, d, a, k[8], 20, 1163531501);
a = gg(a, b, c, d, k[13], 5, -1444681467);
d = gg(d, a, b, c, k[2], 9, -51403784);
c = gg(c, d, a, b, k[7], 14, 1735328473);
b = gg(b, c, d, a, k[12], 20, -1926607734);
a = hh(a, b, c, d, k[5], 4, -378558);
d = hh(d, a, b, c, k[8], 11, -2022574463);
c = hh(c, d, a, b, k[11], 16, 1839030562);
b = hh(b, c, d, a, k[14], 23, -35309556);
a = hh(a, b, c, d, k[1], 4, -1530992060);
d = hh(d, a, b, c, k[4], 11, 1272893353);
c = hh(c, d, a, b, k[7], 16, -155497632);
b = hh(b, c, d, a, k[10], 23, -1094730640);
a = hh(a, b, c, d, k[13], 4, 681279174);
d = hh(d, a, b, c, k[0], 11, -358537222);
c = hh(c, d, a, b, k[3], 16, -722521979);
b = hh(b, c, d, a, k[6], 23, 76029189);
a = hh(a, b, c, d, k[9], 4, -640364487);
d = hh(d, a, b, c, k[12], 11, -421815835);
c = hh(c, d, a, b, k[15], 16, 530742520);
b = hh(b, c, d, a, k[2], 23, -995338651);
a = ii(a, b, c, d, k[0], 6, -198630844);
d = ii(d, a, b, c, k[7], 10, 1126891415);
c = ii(c, d, a, b, k[14], 15, -1416354905);
b = ii(b, c, d, a, k[5], 21, -57434055);
a = ii(a, b, c, d, k[12], 6, 1700485571);
d = ii(d, a, b, c, k[3], 10, -1894986606);
c = ii(c, d, a, b, k[10], 15, -1051523);
b = ii(b, c, d, a, k[1], 21, -2054922799);
a = ii(a, b, c, d, k[8], 6, 1873313359);
d = ii(d, a, b, c, k[15], 10, -30611744);
c = ii(c, d, a, b, k[6], 15, -1560198380);
b = ii(b, c, d, a, k[13], 21, 1309151649);
a = ii(a, b, c, d, k[4], 6, -145523070);
d = ii(d, a, b, c, k[11], 10, -1120210379);
c = ii(c, d, a, b, k[2], 15, 718787259);
b = ii(b, c, d, a, k[9], 21, -343485551);
x[0] = add32(a, x[0]);
x[1] = add32(b, x[1]);
x[2] = add32(c, x[2]);
x[3] = add32(d, x[3]);
}
function cmn(q, a, b, x, s, t) {
a = add32(add32(a, q), add32(x, t));
return add32((a << s) | (a >>> (32 - s)), b);
}
function ff(a, b, c, d, x, s, t) {
return cmn((b & c) | ((~b) & d), a, b, x, s, t);
}
function gg(a, b, c, d, x, s, t) {
return cmn((b & d) | (c & (~d)), a, b, x, s, t);
}
function hh(a, b, c, d, x, s, t) {
return cmn(b ^ c ^ d, a, b, x, s, t);
}
function ii(a, b, c, d, x, s, t) {
return cmn(c ^ (b | (~d)), a, b, x, s, t);
}
function md51(s) {
txt = '';
var n = s.length,
state = [1732584193, -271733879, -1732584194, 271733878], i;
for (i = 64; i <= s.length; i += 64) {
md5cycle(state, md5blk(s.subarray(i - 64, i)));
}
s = s.subarray(i - 64);
var tail = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0];
for (i = 0; i < s.length; i++)
tail[i >> 2] |= s[i] << ((i % 4) << 3);
tail[i >> 2] |= 0x80 << ((i % 4) << 3);
if (i > 55) {
md5cycle(state, tail);
for (i = 0; i < 16; i++) tail[i] = 0;
}
tail[14] = n * 8;
md5cycle(state, tail);
return state;
}
/* there needs to be support for Unicode here,
* unless we pretend that we can redefine the MD-5
* algorithm for multi-byte characters (perhaps
* by adding every four 16-bit characters and
* shortening the sum to 32 bits). Otherwise
* I suggest performing MD-5 as if every character
* was two bytes--e.g., 0040 0025 = @%--but then
* how will an ordinary MD-5 sum be matched?
* There is no way to standardize text to something
* like UTF-8 before transformation; speed cost is
* utterly prohibitive. The JavaScript standard
* itself needs to look at this: it should start
* providing access to strings as preformed UTF-8
* 8-bit unsigned value arrays.
*/
function md5blk(s) { /* I figured global was faster. */
var md5blks = [], i; /* Andy King said do it this way. */
for (i = 0; i < 64; i += 4) {
md5blks[i >> 2] = s[i]
+ (s[i + 1] << 8)
+ (s[i + 2] << 16)
+ (s[i + 3] << 24);
}
return md5blks;
}
var hex_chr = '0123456789abcdef'.split('');
function rhex(n) {
var s = '', j = 0;
for (; j < 4; j++)
s += hex_chr[(n >> (j * 8 + 4)) & 0x0F]
+ hex_chr[(n >> (j * 8)) & 0x0F];
return s;
}
function hex(x) {
for (var i = 0; i < x.length; i++)
x[i] = rhex(x[i]);
return x.join('');
}
function md5(s) {
return hex(md51(s));
}
function add32(a, b) {
return (a + b) & 0xFFFFFFFF;
}
return md5(uint8Array);
};
})();
我听说Joseph的Myers实现非常快。此外，他还有一篇关于Javascript优化的长篇文章，描述了他在编写实现时学到的东西。对于任何对性能javascript感兴趣的人来说，这是一本很好的读物。
http://www.webreference.com/programming/javascript/jkm3/
他的MD5实现可以在这里找到
这是另一个比我的快25%的 前一个 : D
function MD5(r) { var o, e, n, f = [ -680876936, -389564586, 606105819, -1044525330, -176418897, 1200080426, -1473231341, -45705983, 1770035416, -1958414417, -42063, -1990404162, 1804603682, -40341101, -1502002290, 1236535329, -165796510, -1069501632, 643717713, -373897302, -701558691, 38016083, -660478335, -405537848, 568446438, -1019803690, -187363961, 1163531501, -1444681467, -51403784, 1735328473, -1926607734, -378558, -2022574463, 1839030562, -35309556, -1530992060, 1272893353, -155497632, -1094730640, 681279174, -358537222, -722521979, 76029189, -640364487, -421815835, 530742520, -995338651, -198630844, 1126891415, -1416354905, -57434055, 1700485571, -1894986606, -1051523, -2054922799, 1873313359, -30611744, -1560198380, 1309151649, -145523070, -1120210379, 718787259, -343485551 ], t = [ o = 1732584193, e = 4023233417, ~o, ~e ], c = [], a = unescape(encodeURI(r)) + "\u0080", d = a.length; for (r = --d / 4 + 2 | 15, c[--r] = 8 * d; ~d; ) c[d >> 2] |= a.charCodeAt(d) << 8 * d--; for (i = a = 0; i < r; i += 16) { for (d = t; 64 > a; d = [ n = d[3], o + ((n = d[0] + [ o & e | ~o & n, n & o | ~n & e, o ^ e ^ n, e ^ (o | ~n) ][d = a >> 4] + f[a] + ~~c[i | 15 & [ a, 5 * a + 1, 3 * a + 5, 7 * a ][d]]) << (d = [ 7, 12, 17, 22, 5, 9, 14, 20, 4, 11, 16, 23, 6, 10, 15, 21 ][4 * d + a++ % 4]) | n >>> -d), o, e ]) o = 0 | d[1], e = d[2]; for (a = 4; a; ) t[--a] += d[a]; } for (r = ""; 32 > a; ) r += (t[a >> 3] >> 4 * (1 ^ a++) & 15).toString(16); return r; } <!DOCTYPE html> <html> <body onload="md5.value=MD5(a.value);"> <form oninput="md5.value=MD5(a.value)">Enter String: <input type="string" id="a" name="a" value="https://www.zibri.org"></br></br>MD5:<output id="md5" name="md5" for="a"></output> </form> </body> </html>
如果应用程序的性能受到MD5的Javascript实现的限制，那么您确实做错了什么。考虑架构变化(提示:减少使用MD5)
在选择库时，也要看它是否支持现代框架(如Bower)，是否通过jslint，是否支持JQuery插件模型或模块系统(如AMD/RequireJS)，以及是否正在积极开发中，是否有超过1个贡献者。有几个选项可以满足这些附加条件的一部分或全部:
CryptoJS: This is perhaps the most expansive library where each algorithm can be used separately without adding fat in to your JS code. Plus it as encoder/decoders for UTF8, UTF16 and Base64. I maintain github repository that is registered as Bower package plus instructions on how to use it with RequireJS. Spark MD5: This is based on JKM code that other answer mentions which is also the faster implementation. However in addition, Spark implementation adds AMD support, passes jslint plus has incremental mode. It doesn't have Base64 o/p but it does have raw o/p (i.e. array of 32-bit int insead of string). JQuery MD5 plugin: Very simple down to earth but doesn't seem to have raw mode. JavaScript-MD5: Not as fancy or fast as Spark but simpler.
来自CryptoJS的例子:
//just include md5.js from the CryptoJS rollups folder
var hash = CryptoJS.MD5("Message");
console.log(hash.toString());
在http://jsperf.com/md5-shootout/7上有上述库之间的性能比较。在我的机器上，当前的测试(不可否认是旧的)表明，如果您正在寻找速度，Spark MD5是您的最佳选择(普通JKM代码也是如此)。然而，如果你正在寻找更全面的库，那么CryptoJS是你最好的选择，尽管它比Spark MD5慢79%。然而，我想CryptoJS最终会达到同样的速度，因为它是一个更活跃的项目。
