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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.
The Feagi-agent is the core of the Feagi agent and it serves multiple purposes. It works behind the scenes and serves as an API for Feagi. Keep in mind, you will need Feagi to connect with feagi_agent. Feagi can be running on a website, Docker, or locally on your computer.
If you would like to learn more about how to run Feagi, please visit: https://github.com/feagi/feagi/tree/staging
You can start with any of the quick start options. The easiest and simplest method is to use feagi_agent_video_capture, which focuses solely on video capture functionality. Once you have installed it using pip3 install feagi_agent_video_controller, simply type python3 -m feagi_agent_video_controller --ip 127.0.0.1 to run it.
If you would like to create your own code using the Feagi API and call feagi_interface
or retina
, you can use the following code:
from feagi_agent import feagi_interface
from feagi_agent import retina
Currently, we have more than 2 packages: feagi_agent_video_controller
, feagi_agent_freenove
, and feagi_agent_mycobot
. You can find more packages here: https://github.com/feagi/feagi/tree/feature-mycobot-updated/peripherals
The requirements for feagi-agent
can be found here: feagi-agent requirements
FAQs
Feagi agent to work with general and simulation robots
We found that feagi-agent 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.
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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