Spammers usually forge their email address (sometimes using the email addresses of legitimate users like yourself). They don't need to know your password, they just pretend like they're sending it on your behalf. The same thing applies to domains. Using either one for detecing spam is likely to be inaccurate.
The email headers (your email software should provide some way to see it) should actually provide IP information about where the email originated from. The IP address is one of the few ways to check for spam. First you can check it using something like MX Toolbox to check several blacklists, (including spamhaus)
Other methods for identifying spam include DKIM and SPF. Usually your email provider should automatically check these and rate the spam if they fail either SKIM or SPF.
As Chuck said it will not be a useful method to prevent e-mail spams. There are some other techniques looking the content and discretes if an e-mail is a spam or not using tokenizer methods. i suggest you to glance at SpamBayes
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垃圾邮件发送者通常会伪造他们的电子邮件地址（有时使用像您这样的合法用户的电子邮件地址）。他们不需要知道您的密码，他们只是假装代表您发送密码。同样的事情也适用于域。使用任何一种方法来检测垃圾邮件都可能不准确。
电子邮件标头（您的电子邮件软件应该提供某种方式来查看它）实际上应该提供有关电子邮件来源的 IP 信息。 IP 地址是检查垃圾邮件的少数方法之一。首先，您可以使用 MX Toolbox 之类的工具检查多个黑名单（包括 spamhaus
）识别垃圾邮件的方法包括DKIM和SPF。通常，您的电子邮件提供商应自动检查这些邮件，并在 SKIM 或 SPF 失败时对垃圾邮件进行评级。
Spammers usually forge their email address (sometimes using the email addresses of legitimate users like yourself). They don't need to know your password, they just pretend like they're sending it on your behalf. The same thing applies to domains. Using either one for detecing spam is likely to be inaccurate.
The email headers (your email software should provide some way to see it) should actually provide IP information about where the email originated from. The IP address is one of the few ways to check for spam. First you can check it using something like MX Toolbox to check several blacklists, (including spamhaus)
Other methods for identifying spam include DKIM and SPF. Usually your email provider should automatically check these and rate the spam if they fail either SKIM or SPF.
正如查克所说，这不是防止垃圾邮件的有用方法。还有一些其他技术可以查看内容并区分电子邮件是否是垃圾邮件或不使用分词器方法。我建议你看一下 SpamBayes
As Chuck said it will not be a useful method to prevent e-mail spams. There are some other techniques looking the content and discretes if an e-mail is a spam or not using tokenizer methods. i suggest you to glance at SpamBayes