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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.
sagemaker-feature-store-pyspark
Advanced tools
SageMaker FeatureStore Spark is a connector library for Amazon SageMaker FeatureStore.
With this spark connector, you can easily ingest data to FeatureGroup's online and offline store from Spark DataFrame
. Also, this connector contains the functionality to automatically load feature definitions to help with creating feature groups.
Note: For more information about installation, code samples etc, please reference the FeatureStore AWS documentation.
FAQs
Amazon SageMaker FeatureStore PySpark Bindings
We found that sagemaker-feature-store-pyspark 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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The Ultralytics' PyPI Package was compromised four times in one weekend through GitHub Actions cache poisoning and failure to rotate previously compromised API tokens.