Harden pickle.load() against deserialization attacks#77
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pixeebot[bot] wants to merge 1 commit intodevelopfrom
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Harden pickle.load() against deserialization attacks#77pixeebot[bot] wants to merge 1 commit intodevelopfrom
pickle.load() against deserialization attacks#77pixeebot[bot] wants to merge 1 commit intodevelopfrom
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| requests = "^2.28.1" | ||
| jupyter = "^1.0.0" | ||
| ipython = "^8.5.0" | ||
| fickling = ">=0.1.3,~=0.1.0" |
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This package provides analysis of pickled data to help identify potential security vulnerabilities.
License: LGPL-3.0 ✅ Open Source ✅ More facts
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I'm confident in this change, but I'm not a maintainer of this project. Do you see any reason not to merge it? If this change was not helpful, or you have suggestions for improvements, please let me know! |
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Just a friendly ping to remind you about this change. If there are concerns about it, we'd love to hear about them! |
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This change may not be a priority right now, so I'll close it. If there was something I could have done better, please let me know! You can also customize me to make sure I'm working with you in the way you want. |
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Python's
picklemodule is notoriouly insecure. While it is very useful for serializing and deserializing Python objects, it is not safe to usepickleto load data from untrusted sources. This is becausepicklecan execute arbitrary code when loading data. This can be exploited by an attacker to execute arbitrary code on your system. Unlikeyamlthere is no concept of a "safe" loader inpickle. Therefore, it is recommended to avoidpickleand to use a different serialization format such asjsonoryamlwhen working with untrusted data.However, if you must use
pickleto load data from an untrusted source, we recommend using the open-sourceficklinglibrary.ficklingis a drop-in replacement forpicklethat validates the data before loading it and checks for the possibility of code execution. This makes it much safer (although still not entirely safe) to usepickleto load data from untrusted sources.This codemod replaces calls to
pickle.loadwithfickling.loadin Python code. It also adds an import statement forficklingif it is not already present.The changes look like the following:
Dependency Updates
This codemod relies on an external dependency. We have automatically added this dependency to your project's
pyproject.tomlfile.This package provides analysis of pickled data to help identify potential security vulnerabilities.
There are a number of places where Python project dependencies can be expressed, including
setup.py,pyproject.toml,setup.cfg, andrequirements.txtfiles. If this change is incorrect, or if you are using another packaging system such aspoetry, it may be necessary for you to manually add the dependency to the proper location in your project.More reading
I have additional improvements ready for this repo! If you want to see them, leave the comment:
... and I will open a new PR right away!
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