Security News
Research
Data Theft Repackaged: A Case Study in Malicious Wrapper Packages on npm
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
more-entropy
Advanced tools
Generate more entropy to combine with Node's crypto.rng or window.crypto
The easiest way to generate good pseudorandom numbers in the browser is with window.crypto.getRandomValues
, and in Node.js you can use crypto.rng
.
But for the truly paranoid, getting even more entropy is a good idea. For example, one might seed their own key generator with a combination
of window.crypto
and a series of coordinates collected from mouse movements or key mashes.
Even though the mouse movements of the user are not very random, it's extra noise, adding a layer of safety. Perhaps each [x,y] mouse location is worth a bit or two of entropy.
more-entropy
achieves similar results but without user interaction or ugly integration with your DOM.
It generates large numbers by counting how many operations it can perform in a unit of time, which fluctuates
unpredictably based on other system processes and low-level architectural specifics (like cache misses and FPU pipelines).
A good use of this module is to combine its output with
window.crypto.getRandomValue
or crypto.rng
, and use the
result as a seed for a deterministic random bit generator (like
HMAC_DRBG).
You'll have an extra layer of protection if you're afraid that the
standard random number generators are compromised.
npm install -g more-entropy
var m = require('more-entropy');
// create a generator, which can provide you with some entropy
var c = new m.Generator();
// get an array of integers with at least 100 bits of combined entropy:
c.get_entropy(100, function(vals) {
console.log(vals); // [-4358,543,9089,...]
});
This generator repeatedly does as many floating point operations as it can in 1ms-2ms time periods (typically many thousands), and compares this value to previous attempts. The delta is then added to a collection with a very conservative estimate for bits of entropy.
Much like the mouse movement technique, we are collecting a lot of data and assuming it's just a little bit random.
get_entropy
can be called as many times as you like, even concurrently; it will call back with uniquely calculated data to each requestnew m.Generator()
can be called with extra options:
var c = new m.Generator({
'loop_delay': 10 // how many milliseconds to pause between each operation loop. A lower value will generate entropy faster, but will also be harder on the CPU
'work_min': 1 // milliseconds per loop; a higher value blocks the CPU more, so 1 is recommended
'auto_stop_bits': 4096 // the generator prepares entropy for you before you request it; if it reaches this much unclaimed entropy it will stop working
'max_bits_per_delta': 4 // a safety cap on how much entropy it can claim per value; 4 (default) is very conservative. a larger value will allow faster entropy generation
});
FAQs
Generate more entropy to combine with Node's crypto.rng or window.crypto
We found that more-entropy demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 2 open source maintainers 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.
Security News
Research
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
Research
Security News
Attackers used a malicious npm package typosquatting a popular ESLint plugin to steal sensitive data, execute commands, and exploit developer systems.
Security News
The Ultralytics' PyPI Package was compromised four times in one weekend through GitHub Actions cache poisoning and failure to rotate previously compromised API tokens.