golang log desensitization solution

With the development of the Internet, more and more programmers choose to use Go language to develop applications. Go language has the advantages of efficiency, simplicity, and easy maintenance, so it is very popular. In the development process, logging is essential, and the security of logs is increasingly valued.

Logging can help us understand the running status of the application, which is very helpful for debugging and troubleshooting. However, the logs may contain sensitive information, and if the logs are not desensitized, sensitive information may be leaked. Therefore, in practical applications, we need to desensitize sensitive information in logs.

Go language provides us with powerful logging libraries, such as Logrus, Zap, etc. These libraries are easy to use, but when desensitizing logs, we need to perform some additional operations. This article will introduce how to use the logging library in the Go language to desensitize logs.

1. The need for log desensitization

In the application, we will record a variety of information, such as: user’s login name, password, mobile phone number, email address, IP Address etc. This information is very important, but if it is recorded directly in the log, it may lead to information leakage.

Therefore, when recording logs, we need to desensitize this sensitive information. After desensitization, even if the logs are leaked, the user's sensitive information will not be directly exposed, thereby ensuring the user's privacy and security.

2. Log desensitization methods

We can desensitize sensitive information in logs in a variety of ways. Here are several common methods:

1. Directly replace sensitive information with "*"

This is the most common method, directly replace sensitive information with "*", for example:

Login name: Password: *

Mobile number: *

email address:*@. com

This method is simple to operate, but sometimes the information is not clear enough. Especially when a field contains multiple sensitive information, it is not easy to distinguish which is which.

2. Partial desensitization of sensitive information

For some scenarios, we can partially desensitize sensitive information, for example:

Mobile phone number: 138**1234

ID number: ##*1234

Bank card number:

##1234This method can retain some information, but there is still a certain degree of security risk.

Encrypt sensitive information

3. For some scenarios with high security requirements, we can choose to encrypt sensitive information, such as:

Mobile phones Number: f4e2be33ca0637acb68a562e012b0e9d

ID card number: f5a0e74752ae1be43956b4d5e8b915f8

Bank card number: 72bb75e6b76f891deab8349735dc6058

This method is more secure, but It will also increase the complexity of the system and handle it More cumbersome.

3. Logging libraries in Go language

Go language has a wealth of third-party logging libraries, among which the more popular ones are Logrus and Zap. Here we take Logrus as an example to introduce. Logrus is a powerful log library that can meet our various needs for logs.

Install Logrus

1. Before starting the practice, we need to install Logrus first. Use the following command to complete the installation:

go get github.com /sirupsen/logrus

Introduce Logrus

2. Introduce Logrus into the code:

import "github.com/sirupsen/logrus"

Output general information

3. Logrus provides a variety of log levels, including Debug, Info, Warning, Error, Fatal, Panic, etc. We can use the following code to output general information:

logrus.Info("Hello, world!")

Output logs with contextual information

4. In practical applications, we may need to record logs with contextual information. Here is an example of outputting a log with contextual information:

logrus.WithFields(logrus.Fields{

"animal": "walrus",

}).Info("A walrus appears")

Log level

5. In Logrus, the default log level is Info. If you want to adjust the log level, you can use the following code:

logrus.SetLevel(logrus.DebugLevel )

Output to file

6. In addition to outputting to the console, we can also log to a file. The following is an example of outputting to a file:

file, err := os.OpenFile("logs/app.log", os.O_CREATE|os.O_APPEND|os.O_WRONLY, 0666)

if err != nil {

logrus.Error("Failed to open log file: ", err)
return

}

defer file.Close()

logrus.SetOutput(file)

Log desensitization

7. For some sensitive information , we need to desensitize it to protect user privacy. The following is an example of desensitizing a mobile phone number:

mobile := "13812345678"

if len(mobile) > 7 {

mobile = mobile[0:3] + "****" + mobile[7:]

}

logrus.WithFields(logrus.Fields{

"mobile": mobile,

}).Info("User login")

With the above code, we can retain the first three and last four digits of the mobile phone number, and replace all the information in the middle with "*".

4. Summary

Through the introduction of this article, we understand the necessity of log desensitization and common desensitization methods. We also learned how to use the logging library in the Go language to desensitize logs, which will help us better protect user privacy.

In practical applications, we need to choose an appropriate desensitization method based on our own business needs and logging characteristics, and use it flexibly. The ultimate goal is to protect user privacy as much as possible and improve system security.

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