Mon, 19 May 2025 14:33:49 +0200
Code Style Checker
- Updated the security checker to `bandit` v1.8.3.
# -*- coding: utf-8 -*- # Copyright (c) 2024 - 2025 Detlev Offenbach <detlev@die-offenbachs.de> # """ Module implementing checks for the use of 'torch.load' and 'torch.save'. """ # # This is a modified version of the one found in the bandit package. # # Original Copyright (c) 2024 Stacklok, Inc. # # SPDX-License-Identifier: Apache-2.0 # def getChecks(): """ Public method to get a dictionary with checks handled by this module. @return dictionary containing checker lists containing checker function and list of codes @rtype dict """ return { "Call": [ (checkPytorchLoad, ("S-614",)), ], } def checkPytorchLoad(reportError, context, _config): """ Function to check for the use of 'torch.load'. Using `torch.load` with untrusted data can lead to arbitrary code execution. The safe alternative is to use `weights_only=True` or the safetensors library. @param reportError function to be used to report errors @type func @param context security context object @type SecurityContext @param _config dictionary with configuration data (unused) @type dict """ imported = context.isModuleImportedExact("torch") qualname = context.callFunctionNameQual if not imported and isinstance(qualname, str): return qualnameList = qualname.split(".") func = qualnameList[-1] if all( [ "torch" in qualnameList, func == "load", ] ): # For torch.load, check if weights_only=True is specified weightsOnly = context.getCallArgValue("weights_only") if weightsOnly == "True" or weightsOnly is True: return reportError( context.node.lineno - 1, context.node.col_offset, "S-614", "M", "H", )