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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.
"Inspect BigQuery metadata faster"
python >= 3.10
fzf - https://github.com/junegunn/fzf (required)
brew install fzf
search through list of values (i.e. project, dataset, tables) is done using fzf
Install as python package using pypi, this will create executable in /usr/local/bin/bq-meta
pip install bq-meta
Initialize bq-meta
bq-meta --init
Follow on screen prompts
gcloud
cli)To open interactive CLI, simply run
bq-meta
To view table metadata, press o
key and select through project, dataset, table.
Table metadata can be refreshed, press r
to fetch fresh metadata
It's also possible to run bq-meta
directly with FULL_TABLE_ID
bq-meta bigquery-public-data:github_repos.commits
Once table metadata is opened, press s
key to view it's schema
You can open table in console.cloud.google.com by pressing c
key
Every viewed table is saved to the history. To search through history, press h
key
Usage: python -m bq_meta [OPTIONS] [FULL_TABLE_ID]
BiqQuery metadata
Options:
--raw View raw response from the BigQuery for specific 'FULL_TABLE_ID'
--init Initialize 'bq-meta' configuration
--info Print info of currently used account
--fetch-projects Fetch available google projects
--version Show the version and exit.
--help Show this message and exit.
FAQs
BigQuery metadata
We found that bq-meta 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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