The ultimate guide to Python pickle
Blog post from Snyk
Python’s pickle module serializes Python objects into binary byte streams for storage or transmission and reconstructs them later, supporting primitives, nested collections, and many class instances through functions such as dump, dumps, load, and loads. A game-state example demonstrates saving custom objects to a binary file and restoring them for features such as save and resume. Because unpickling can invoke callable code defined through mechanisms like the special __reduce__ method, malicious pickle data can execute arbitrary commands or code, making it unsafe to deserialize data from untrusted sources. JSON is recommended for untrusted input despite its more limited support for Python-specific and custom data types. When pickle data originates from a trusted application but could be altered during storage or transmission, an HMAC signature using a securely stored secret key can verify integrity before unpickling.
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