This describes how security issues will be addressed and how they can be reported.
Typed-dfs will mostly share security issues with Pandas. Serialization and IO are the major attack surface. In particular, avoid using Pickle along with XLSM, XLTX, XLTM, XLS, and XLSB files (which support macros).
You can disable reading and writing these formats with .secure() in the builders.
For example: TypedDfs.typed("MyDf").secure().build().
These files can be added with .write_file(df, file_hash=True)
and verified with .read_file(path, check_hash="file").
.secure() will also disable sha-1 and md5 as choices for sha1sum-style file hashes,
and reading from http://.
You can still read directly from buffers.
Please report security problems with the security issue template. If there is a remarkably significant vulnerability, please exclude details and request contact information in the issue.