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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.
AI Augmented ESBMC processing. Passes the output from ESBMC to an AI model that allows the user to use natural language to understand the output. As the output from ESBMC can be quite technical in nature. The AI can also be asked other questions, such as suggestions on how to fix the problem outputted by ESBMC, and to offer further explanations.
This is an area of active research.
More videos can be found on the ESBMC-AI Youtube Channel
For full documentation, see the ESBMC-AI Wiki. The README file contains quick setup instructions, however it is recommended to read the following two pages, to fully guide you on how to download, set-up and run ESBMC-AI.
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
ESBMC-AI is made possible by the following listed entities:
FAQs
LLM driven development and automatic repair kit.
We found that esbmc-ai 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.
Security News
Research
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
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