With the development of the Internet, verification codes have increasingly become a common security verification measure for websites and applications. Verification code is a human-computer interaction technology based on images, sounds, text, etc., with the purpose of preventing malicious attacks and abuse by robots.
In this article, we will introduce how to use the Gin framework of Go language to implement verification code generation and verification functions. Gin is a lightweight web framework that can quickly build RESTful API and WEB applications.
Before we start, we need to install the Gin framework first. You can use the Go command line tool to install:
go get -u github.com/gin-gonic/gin
In order to generate the verification code image, we need to use a third-party library github.com/mojocn /base64Captcha. The library provides multiple verification code types and supports custom parameters. The following is a sample code for generating an image verification code:
package main import ( "fmt" "time" "github.com/gin-gonic/gin" "github.com/mojocn/base64Captcha" ) func main() { r := gin.Default() // 生成验证码图片 r.GET("/captcha", func(c *gin.Context) { // 配置 driver := base64Captcha.NewDriverDigit(80, 240, 4, 0.5, 80) store := base64Captcha.DefaultMemStore captcha := base64Captcha.NewCaptcha(driver, store) // 生成验证码 id, b64s, err := captcha.Generate() if err != nil { c.JSON(500, gin.H{"error": err.Error()}) return } // 返回验证码图片 c.JSON(200, gin.H{ "id": id, "image": b64s, "expires": time.Now().Add(time.Minute * 5).Unix(), }) }) r.Run(":8080") }
In this example, we use the default Memeory storage to store the verification code information (other storage such as Redis can also be used). The number-based CAPTCHA driver creates CAPTCHAs using a width of 80 pixels, a height of 240 pixels, a length of four characters, and a noise intensity of 0.5. The Generate method will return the generated verification code ID, verification code image and error information. Here, we return the verification code image to the client in base64-encoded form, and specify the expiration time in the response.
When the client submits the verification code, it needs to be verified whether the user input matches the generated verification code. Still use the Verify function provided by the github.com/mojocn/base64Captcha library to verify the verification code. Here is a sample code to verify the image captcha:
package main import ( "fmt" "github.com/gin-gonic/gin" "github.com/mojocn/base64Captcha" ) func main() { r := gin.Default() // 验证验证码 r.POST("/verify", func(c *gin.Context) { var form struct { ID string `form:"id" binding:"required"` Code string `form:"code" binding:"required"` } if err := c.ShouldBind(&form); err != nil { c.JSON(400, gin.H{"error": err.Error()}) return } // 验证验证码 if base64Captcha.VerifyCaptcha(form.ID, form.Code) { c.JSON(200, gin.H{"success": true}) } else { c.JSON(401, gin.H{"error": "验证码错误"}) } }) r.Run(":8080") }
In this example, we define a structure to store the captcha ID and captcha value submitted from the client. Use the ShouldBind function to bind the request body to the structure. If the binding fails, a 400 error is returned. When verifying the verification code, you can use the VerifyCaptcha function to verify whether the verification code value submitted by the client is correct. If the verification is successful, a 200 response is returned; otherwise, a 401 error is returned and the reason for the verification code error is prompted.
Combining the above sample codes for generating verification codes and verifying verification codes, we can get a complete code, as shown below:
package main import ( "fmt" "time" "github.com/gin-gonic/gin" "github.com/mojocn/base64Captcha" ) func main() { r := gin.Default() // 生成验证码图片 r.GET("/captcha", func(c *gin.Context) { // 配置 driver := base64Captcha.NewDriverDigit(80, 240, 4, 0.5, 80) store := base64Captcha.DefaultMemStore captcha := base64Captcha.NewCaptcha(driver, store) // 生成验证码 id, b64s, err := captcha.Generate() if err != nil { c.JSON(500, gin.H{"error": err.Error()}) return } // 返回验证码图片 c.JSON(200, gin.H{ "id": id, "image": b64s, "expires": time.Now().Add(time.Minute * 5).Unix(), }) }) // 验证验证码 r.POST("/verify", func(c *gin.Context) { var form struct { ID string `form:"id" binding:"required"` Code string `form:"code" binding:"required"` } if err := c.ShouldBind(&form); err != nil { c.JSON(400, gin.H{"error": err.Error()}) return } // 验证验证码 if base64Captcha.VerifyCaptcha(form.ID, form.Code) { c.JSON(200, gin.H{"success": true}) } else { c.JSON(401, gin.H{"error": "验证码错误"}) } }) r.Run(":8080") }
This article introduces how to use the Gin framework and the github.com/mojocn/base64Captcha library to implement verification code generation and verification functions. Verification code technology is a widely used security verification method, which can effectively prevent robot attacks and malicious abuse. In practice, other verification code types and storage methods can also be selected according to actual needs, and combined with other security measures to enhance the security and reliability of the application.
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