Comments (3)
This sounds like a problem with fortify rather than pandas to me, have you tried contacting them instead?
is it possible to address this concern directly within the pandas library to enhance its security profile?
No, the nature of how pickling works allows people to construct malicious pickle data, there is nothing we can do about that.
from pandas.
Thanks for the issue, but please view #48049 and related issues. As you mentioned you don't use read_pickle in your codebase so you should be safe to ignore that warning. Closing
from pandas.
Thank you very much @Aloqeely and @mroeschke for the clarification.
I have opened a ticket to Fortify as this is not a problem with Pandas.
from pandas.
Related Issues (20)
- ENH: Adding `skipna:bool` to Rolling.sum HOT 2
- BUG: Replace fails after NaN in a Series of `string` HOT 2
- DEPR: future.no_silent_downcasting option HOT 1
- BUILD: Python Docker Build Issues HOT 4
- DOC: Incorrect Documentation: pd.Dataframe.dropna HOT 2
- BUG: Spurious `FutureWarning` when using `pd.read_json()` HOT 2
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- ENH: support the Arrow PyCapsule Interface on pandas.Series (export) HOT 5
- BUG: HOT 3
- BUG: "Bad CRC-32 for file'docProps/core.xml" for Read large Excel file HOT 1
- BUG: Incorrect float32/float64 comparison result HOT 7
- BUG: import has error HOT 2
- BUG: subtracting datetime series from datetime dataframe, or datetime dataframe from datetime series, raises TypeError or UFuncTypeError HOT 2
- BUG: read_csv's usecols type hint isn't match with list of strings HOT 2
- BUG: OverflowError: value too large to convert to int when manipulating very large dataframes HOT 6
- DOC: Wrong bug number in what's new v3.0.0 HOT 3
- ENH: Checking gaps for time series HOT 2
- ENH: Support non-categorical values for pandas bar plots when x axis is datetime values HOT 2
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from pandas.