JavaScript的Eval与JSON.parse的区别

时间:2024-08-09 12:03:50

JavaScript的Eval与JSON.parse的区别

json的定义以及用法:

  JSON(JavaScript Object Notation)是一种轻量级的数据格式,采用完全独立于语言的文本格式,是理想的数据交换格式。同时,JSON是Javascript原生格式,这意味着在javascript中处理JSON数据不需要任何特殊的API或工具包,而且效率非常高。

基本格式:varjsonData='{"data1":"Hello,","data2":"world!"}'

很多json数据存入数组

{"name":"LiLei","age":19,"sex":"male"},{"name":"HanMei","age":18,"sex":"famale"}]

总体而言,json是相对比较容易的理解和使用的,但同时存在很多的陷阱,如果不注意的话很容易掉进去。

json与eval对比:

  json格式非常受欢迎,而解析json的方式通常用JSON.parse()但是eval()方法也可以解析,这两者之间有什么区别呢?

JSON.parse()之可以解析json格式的数据,并且会对要解析的字符串进行格式检查,如果格式不正确则不进行解析,而eval()则可以解析任何字符串,eval是不安全的。

例如下面代码:

function EvalTest() {

    var content = "console.log('javascript')";
eval(content); } function JSONTest() {
var content ="console.log('jvascript')";
JSON.parse(content); }

它们的执行结果为:

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" alt="" />

  用eval可以解析,并且会在控制台中输入出需要打印的字符串,而用JSON.parse()则解析不了。eval在解析字符串时,会执行该字符串中的代码, 其实console.log并没有什么坏处,可怕的是如果用恶意用户在json字符串中注入了向页面插入木马链接的脚本,用eval也是可以操作的,而用JSON.parse()则不必担心这个问题。