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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.
@clinic/doctor
Advanced tools
Programmable interface to Clinic.js Doctor. Learn more about Clinic.js: https://clinicjs.org/
To open an issue, please use the main repository with the doctor
label.
npm i -S @clinic/doctor
const ClinicDoctor = require('@clinic/doctor')
const doctor = new ClinicDoctor()
doctor.collect(['node', './path-to-script.js'], function (err, filepath) {
if (err) throw err
doctor.visualize(filepath, filepath + '.html', function (err) {
if (err) throw err
});
})
You can find examples in node-clinic-doctor-examples
const ClinicDoctor = require('@clinic/doctor')
const doctor = new ClinicDoctor()
<Object>
<Number>
Time between each sample in milliseconds.
Default: 10<boolean>
Default: false<String>
The folder where the collected data is stored. Default: '.'<boolean>
If set to true, the generated html will not be minified.
Default: false<Number>
Default: 0doctor.collect(args, callback)
Starts a process by using:
const { spawn } = require('child_process')
spawn(args[0], ['-r', 'sampler.js'].concat(args.slice(1)))
The injected sampler will produce a file in the current working directory, with the process PID in its filename. The filepath relative to the current working directory will be the value in the callback.
stdout, stderr, and stdin will be relayed to the calling process. As will the
SIGINT
event.
doctor.visualize(dataFilename, outputFilename, callback)
Will consume the datafile specified by dataFilename
, this datafile will be
produced by the sampler using doctor.collect
.
doctor.visualize
will then output a standalone HTML file to outputFilename
.
When completed the callback
will be called with no extra arguments, except a
possible error.
FAQs
Programmable interface to Clinic.js Doctor
The npm package @clinic/doctor receives a total of 13,214 weekly downloads. As such, @clinic/doctor popularity was classified as popular.
We found that @clinic/doctor demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 4 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.
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