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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.
DESHIMA code for data analysis
pip install decode==2024.11.0
de:code ships with a quick look command decode-qlook
, which will be available from the CUI after installation. It has several subcommands for each observation type. For example, to quick-look at a raster observation:
$ decode-qlook raster /path/to/dems.zarr.zip
where dems.zarr.zip
is the merged observation data (DESHIMA measurement set: DEMS) to be checked. By default, it will output an image of the result plots by a simple analysis (e.g. continuum map, etc). You can also get the result data themselves by changing the output format:
$ decode-qlook raster /path/to/dems.zarr.zip --format zarr.zip
See the command help for all available options:
# list of the subcommands and descriptions
$ decode-qlook --help
# list of the available command options
$ decode-qlook raster --help
If you are not sure about the observation type, the auto
subcommand may be useful to automatically select the appropriate command to use:
$ decode-qlook auto /path/to/dems.zarr.zip
Finally, all subcommands are available as functions in the qlook
submodule. For example, the raster
command corresponds to decode.qlook.raster
and the following Python code is equivalent to the CUI:
import decode
decode.qlook.raster("/path/to/dems.zarr.zip")
See the qlook module documentation for more information.
FAQs
DESHIMA code for data analysis
We found that decode demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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