Research
Security News
Malicious npm Package Targets Solana Developers and Hijacks Funds
A malicious npm package targets Solana developers, rerouting funds in 2% of transactions to a hardcoded address.
github.com/dvwright/xss-mw
XssMw is an middleware written in Golang for the Gin web framework. Although, it should be useable with any Go web framework which utilizes Golang's "net/http" native library in a similiar way to Gin.
The idea behind XssMw is to "auto remove XSS" from user submitted input.
It's applied on http GET, POST and PUT Requests only
The XSS filtering is performed by HTML sanitizer Bluemonday.
The default is to the strictest policy - StrictPolicy()
Using the defaults, It will skip filtering for a field named 'password' but will run the filter on everything else. Uses the Bluemonday strictest policy - StrictPolicy()
package main
import "gopkg.in/gin-gonic/gin.v1"
import "github.com/dvwright/xss-mw"
func main() {
r := gin.Default()
// include as standard middleware
var xssMdlwr xss.XssMw
r.Use(xssMdlwr.RemoveXss())
r.GET("/ping", func(c *gin.Context) {
c.JSON(200, gin.H{
"message": "pong",
})
})
r.Run() // listen and serve on 0.0.0.0:8080
}
Using some config options, here It will skip filtering for a fields named 'password', "create_date" and "token" but will run the filter on everything else.
Uses Bluemonday UGCPolicy
package main
import "gopkg.in/gin-gonic/gin.v1"
import "github.com/dvwright/xss-mw"
func main() {
r := gin.Default()
xssMdlwr := &xss.XssMw{
FieldsToSkip: []string{"password", "create_date", "token"},
BmPolicy: "UGCPolicy",
}
r.Use(xssMdlwr.RemoveXss())
r.GET("/ping", func(c *gin.Context) {
c.JSON(200, gin.H{
"message": "pong",
})
})
r.Run() // listen and serve on 0.0.0.0:8080
}
Currently, it removes (deletes) all HTML and malicious detected input from user input on
the submitted request to the server.
It handles three Request types:
JSON requests - Content-Type application/json
Form Encoded - Content-Type application/x-www-form-urlencoded
Multipart Form Data - Content-Type multipart/form-data
A future plan is have a feature to store all user submitted data intact and have the option to
filter it out on the http Response, so you can choose your preference. - in other words - data would be stored in the database as it was submitted and removed in Responses back to the user. pros: data integrity, cons: XSS exploits still present
You are welcome to contribute to this project.
Please update/add tests as appropriate.
Send pull request against the Develop branch.
Please use the same formatting as the Go authors. Run code through gofmt before submitting.
Thanks
Thanks to
https://github.com/goware/jsonp
https://github.com/appleboy/gin-jwt/tree/v2.1.1
Whose source I read throughly to aid in writing this
and of course
https://github.com/microcosm-cc/bluemonday
and the gin middleware
and
https://static.googleusercontent.com/intl/hu/about/appsecurity/learning/xss/
for inspiring me to to look for and not finding a framework, so attempting to write one.
A note on manually escaping input Writing your own code for escaping input and then properly and consistently applying it is extremely difficult. We do not recommend that you manually escape user-supplied data. Instead, we strongly recommend that you use a templating system or web development framework that provides context-aware auto-escaping.
FAQs
Unknown package
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Research
Security News
A malicious npm package targets Solana developers, rerouting funds in 2% of transactions to a hardcoded address.
Security News
Research
Socket researchers have discovered malicious npm packages targeting crypto developers, stealing credentials and wallet data using spyware delivered through typosquats of popular cryptographic libraries.
Security News
Socket's package search now displays weekly downloads for npm packages, helping developers quickly assess popularity and make more informed decisions.