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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.
This is a python wrapper for the Adobe Customer Journey API.
One important element when starting with CJA API is that you need to have your adobe console.io Project containing access to AEP and CJA.
You cannot use the API without having access to both elements.
Documentation is split in different places:
cjapy
: main documentationA documentation about the releases information can be found here : cjapy releases
Functionalities that are covered :
Project
classA documentation is provided to get started quickly with the CJA API wrapper in python.
You can find it here: get started on cjapy
To install the library with PIP use:
pip install cjapy
or, to get the latest version from github
python -m pip install --upgrade git+<https://github.com/pitchmuc/cjapy.git#egg=cjapy>
A logging capability is present on the module for debugging purposes.
There is a proper documentation in place to understand how you can add the logging messages to your runtime.
Documentation on logging in cjapy
In order to use this API in python, you would need to have those libraries installed :
TBW
You can find information about the CJA API here :
FAQs
Adobe Customer Journey Analytics (CJA) wrapper
We found that cjapy demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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