
Research
/Security News
Contagious Interview Campaign Escalates With 67 Malicious npm Packages and New Malware Loader
North Korean threat actors deploy 67 malicious npm packages using the newly discovered XORIndex malware loader.
Ensure your JavaScript is readable by humans.
human.js lays out a set of guiding principles for writing code which is more readable. To accompy these principles and allow you to incorporate them into your work more easily, it also provides a set of eslint rules, exported as a plugin.
NOTE: Currently under reconstruction. I'll be adding new rules and principles as often as I can. When this becomes useful, I'll cut 1.0.0 and publish this.
$ npm install --save-dev human.js
The project exports an eslint plugin. You should configure your .eslintrc
or package.json
files to use these
rules.
{
"env": {
"es6": true
},
"plugins": [
"human.js"
],
"rules": {
"human/no-loops": "error",
"human/no-else": "error",
"human/no-numeric-literal-calls": "error",
"human/no-plus-new": "error",
"human/no-tilde-floor": "error",
"human/no-unary-index-of": "error",
"human/no-bang-bang": "error"
}
}
FAQs
test
The npm package human.js receives a total of 7 weekly downloads. As such, human.js popularity was classified as not popular.
We found that human.js demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 1 open source maintainer collaborating on the project.
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
North Korean threat actors deploy 67 malicious npm packages using the newly discovered XORIndex malware loader.
Security News
Meet Socket at Black Hat & DEF CON 2025 for 1:1s, insider security talks at Allegiant Stadium, and a private dinner with top minds in software supply chain security.
Security News
CAI is a new open source AI framework that automates penetration testing tasks like scanning and exploitation up to 3,600× faster than humans.