Research
Security News
Malicious npm Packages Inject SSH Backdoors via Typosquatted Libraries
Socket’s threat research team has detected six malicious npm packages typosquatting popular libraries to insert SSH backdoors.
swiss-address-parser
Advanced tools
parses 🇨🇭 address strings into structured data
swiss-address-parser is a library that parses 🇨🇭 address strings into structured data. It acknowledges the fact that user input varies and tries to parse as much as possible.
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
Install the package via npm:
npm install swiss-address-parser --save
or via yarn:
yarn add swiss-address-parser
import parse from 'swiss-address-parser';
const address = parse('Musterstrasse 1, 8000 Zürich');
console.log(address);
// {
// street: 'Musterstrasse',
// streetNumber: '1',
// zipCode: '8000',
// city: 'Zürich',
// canton: 'ZH',
// country: 'CH'
// }
Tests are written with jest. You can run them with the following command:
npm run test
FAQs
parses 🇨🇭 address strings into structured data
The npm package swiss-address-parser receives a total of 0 weekly downloads. As such, swiss-address-parser popularity was classified as not popular.
We found that swiss-address-parser 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
Socket’s threat research team has detected six malicious npm packages typosquatting popular libraries to insert SSH backdoors.
Security News
MITRE's 2024 CWE Top 25 highlights critical software vulnerabilities like XSS, SQL Injection, and CSRF, reflecting shifts due to a refined ranking methodology.
Security News
In this segment of the Risky Business podcast, Feross Aboukhadijeh and Patrick Gray discuss the challenges of tracking malware discovered in open source softare.