isle-portable/tools/ghidra_scripts/lego_util/function_importer.py

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# This file can only be imported successfully when run from Ghidra using Ghidrathon.
# Disable spurious warnings in vscode / pylance
# pyright: reportMissingModuleSource=false
import logging
from typing import Optional
from abc import ABC, abstractmethod
from ghidra.program.model.listing import Function, Parameter
from ghidra.program.flatapi import FlatProgramAPI
from ghidra.program.model.listing import ParameterImpl
from ghidra.program.model.symbol import SourceType
from ghidra.program.model.data import (
TypeDef,
TypedefDataType,
Pointer,
ComponentOffsetSettingsDefinition,
)
from lego_util.pdb_extraction import (
PdbFunction,
CppRegisterSymbol,
CppStackSymbol,
)
from lego_util.ghidra_helper import (
add_data_type_or_reuse_existing,
create_ghidra_namespace,
get_or_add_pointer_type,
get_ghidra_namespace,
sanitize_name,
)
from lego_util.exceptions import StackOffsetMismatchError, Lego1Exception
from lego_util.type_importer import PdbTypeImporter
logger = logging.getLogger(__name__)
class PdbFunctionImporter(ABC):
"""A representation of a function from the PDB with each type replaced by a Ghidra type instance."""
def __init__(
self,
api: FlatProgramAPI,
func: PdbFunction,
type_importer: "PdbTypeImporter",
):
self.api = api
self.match_info = func.match_info
self.type_importer = type_importer
assert self.match_info.name is not None
colon_split = sanitize_name(self.match_info.name).split("::")
self.name = colon_split.pop()
namespace_hierachy = colon_split
self.namespace = self._do_get_namespace(namespace_hierachy)
def _do_get_namespace(self, namespace_hierarchy: list[str]):
return get_ghidra_namespace(self.api, namespace_hierarchy)
def get_full_name(self) -> str:
return f"{self.namespace.getName()}::{self.name}"
@staticmethod
def build(api: FlatProgramAPI, func: PdbFunction, type_importer: "PdbTypeImporter"):
return (
ThunkPdbFunctionImport(api, func, type_importer)
if func.signature is None
else FullPdbFunctionImporter(api, func, type_importer)
)
@abstractmethod
def matches_ghidra_function(self, ghidra_function: Function) -> bool:
...
@abstractmethod
def overwrite_ghidra_function(self, ghidra_function: Function):
...
class ThunkPdbFunctionImport(PdbFunctionImporter):
"""For importing thunk functions (like vtordisp or debug build thunks) into Ghidra.
Only the name of the function will be imported."""
def _do_get_namespace(self, namespace_hierarchy: list[str]):
"""We need to create the namespace because we don't import the return type here"""
return create_ghidra_namespace(self.api, namespace_hierarchy)
def matches_ghidra_function(self, ghidra_function: Function) -> bool:
name_match = self.name == ghidra_function.getName(False)
namespace_match = self.namespace == ghidra_function.getParentNamespace()
logger.debug("Matches: namespace=%s name=%s", namespace_match, name_match)
return name_match and namespace_match
def overwrite_ghidra_function(self, ghidra_function: Function):
ghidra_function.setName(self.name, SourceType.USER_DEFINED)
ghidra_function.setParentNamespace(self.namespace)
# pylint: disable=too-many-instance-attributes
class FullPdbFunctionImporter(PdbFunctionImporter):
"""For importing functions into Ghidra where all information are available."""
def __init__(
self,
api: FlatProgramAPI,
func: PdbFunction,
type_importer: "PdbTypeImporter",
):
super().__init__(api, func, type_importer)
assert func.signature is not None
self.signature = func.signature
self.is_stub = func.is_stub
if self.signature.class_type is not None:
# Import the base class so the namespace exists
self.type_importer.import_pdb_type_into_ghidra(self.signature.class_type)
self.return_type = type_importer.import_pdb_type_into_ghidra(
self.signature.return_type
)
self.arguments = [
ParameterImpl(
f"param{index}",
type_importer.import_pdb_type_into_ghidra(type_name),
api.getCurrentProgram(),
)
for (index, type_name) in enumerate(self.signature.arglist)
]
def matches_ghidra_function(self, ghidra_function: Function) -> bool:
"""Checks whether this function declaration already matches the description in Ghidra"""
name_match = self.name == ghidra_function.getName(False)
namespace_match = self.namespace == ghidra_function.getParentNamespace()
ghidra_return_type = ghidra_function.getReturnType()
return_type_match = self.return_type == ghidra_return_type
# Handle edge case: Return type X that is larger than the return register.
# In that case, the function returns `X*` and has another argument `X* __return_storage_ptr`.
if (
(not return_type_match)
and (self.return_type.getLength() > 4)
and (
get_or_add_pointer_type(self.api, self.return_type)
== ghidra_return_type
)
and any(
param
for param in ghidra_function.getParameters()
if param.getName() == "__return_storage_ptr__"
)
):
logger.debug(
"%s has a return type larger than 4 bytes", self.get_full_name()
)
return_type_match = True
# match arguments: decide if thiscall or not, and whether the `this` type matches
thiscall_matches = (
self.signature.call_type == ghidra_function.getCallingConventionName()
)
ghidra_params_without_this = list(ghidra_function.getParameters())
if thiscall_matches and self.signature.call_type == "__thiscall":
this_argument = ghidra_params_without_this.pop(0)
thiscall_matches = self._this_type_match(this_argument)
if self.is_stub:
# We do not import the argument list for stubs, so it should be excluded in matches
args_match = True
elif thiscall_matches:
args_match = self._parameter_lists_match(ghidra_params_without_this)
else:
args_match = False
logger.debug(
"Matches: namespace=%s name=%s return_type=%s thiscall=%s args=%s",
namespace_match,
name_match,
return_type_match,
thiscall_matches,
"ignored" if self.is_stub else args_match,
)
return (
name_match
and namespace_match
and return_type_match
and thiscall_matches
and args_match
)
def _this_type_match(self, this_parameter: Parameter) -> bool:
if this_parameter.getName() != "this":
logger.info("Expected first argument to be `this` in __thiscall")
return False
if self.signature.this_adjust != 0:
# In this case, the `this` argument should be custom defined
if not isinstance(this_parameter.getDataType(), TypeDef):
logger.info(
"`this` argument is not a typedef while `this adjust` = %d",
self.signature.this_adjust,
)
return False
# We are not checking for the _correct_ `this` type here, which we could do in the future
return True
def _parameter_lists_match(self, ghidra_params: "list[Parameter]") -> bool:
# Remove return storage pointer from comparison if present.
# This is relevant to returning values larger than 4 bytes, and is not mentioned in the PDB
ghidra_params = [
param
for param in ghidra_params
if param.getName() != "__return_storage_ptr__"
]
if len(self.arguments) != len(ghidra_params):
logger.info("Mismatching argument count")
return False
for this_arg, ghidra_arg in zip(self.arguments, ghidra_params):
# compare argument types
if this_arg.getDataType() != ghidra_arg.getDataType():
logger.debug(
"Mismatching arg type: expected %s, found %s",
this_arg.getDataType(),
ghidra_arg.getDataType(),
)
return False
# compare argument names
stack_match = self.get_matching_stack_symbol(ghidra_arg.getStackOffset())
if stack_match is None:
logger.debug("Not found on stack: %s", ghidra_arg)
return False
if stack_match.name.startswith("__formal"):
# "__formal" is the placeholder for arguments without a name
continue
if stack_match.name == "__$ReturnUdt":
# These appear in templates and cannot be set automatically, as they are a NOTYPE
continue
if stack_match.name != ghidra_arg.getName():
logger.debug(
"Argument name mismatch: expected %s, found %s",
stack_match.name,
ghidra_arg.getName(),
)
return False
return True
def overwrite_ghidra_function(self, ghidra_function: Function):
"""Replace the function declaration in Ghidra by the one derived from C++."""
if ghidra_function.hasCustomVariableStorage():
# Unfortunately, calling `ghidra_function.setCustomVariableStorage(False)`
# leads to two `this` parameters. Therefore, we first need to remove all `this` parameters
# and then re-generate a new one
ghidra_function.replaceParameters(
Function.FunctionUpdateType.DYNAMIC_STORAGE_ALL_PARAMS, # this implicitly sets custom variable storage to False
True,
SourceType.USER_DEFINED,
[
param
for param in ghidra_function.getParameters()
if param.getName() != "this"
],
)
if ghidra_function.hasCustomVariableStorage():
raise Lego1Exception("Failed to disable custom variable storage.")
ghidra_function.setName(self.name, SourceType.USER_DEFINED)
ghidra_function.setParentNamespace(self.namespace)
ghidra_function.setReturnType(self.return_type, SourceType.USER_DEFINED)
ghidra_function.setCallingConvention(self.signature.call_type)
if self.is_stub:
logger.debug(
"%s is a stub, skipping parameter import", self.get_full_name()
)
else:
ghidra_function.replaceParameters(
Function.FunctionUpdateType.DYNAMIC_STORAGE_ALL_PARAMS,
True, # force
SourceType.USER_DEFINED,
self.arguments,
)
self._import_parameter_names(ghidra_function)
# Special handling for `this adjust` and virtual inheritance
if self.signature.this_adjust != 0:
self._set_this_adjust(ghidra_function)
def _import_parameter_names(self, ghidra_function: Function):
# When we call `ghidra_function.replaceParameters`, Ghidra will generate the layout.
# Now we read the parameters again and match them against the stack layout in the PDB,
# both to verify the layout and to set the parameter names.
ghidra_parameters: list[Parameter] = ghidra_function.getParameters()
# Try to add Ghidra function names
for index, param in enumerate(ghidra_parameters):
if param.isStackVariable():
self._rename_stack_parameter(index, param)
else:
if param.getName() == "this":
# 'this' parameters are auto-generated and cannot be changed
continue
# Appears to never happen - could in theory be relevant to __fastcall__ functions,
# which we haven't seen yet
logger.warning(
"Unhandled register variable in %s", self.get_full_name()
)
continue
def _rename_stack_parameter(self, index: int, param: Parameter):
match = self.get_matching_stack_symbol(param.getStackOffset())
if match is None:
raise StackOffsetMismatchError(
f"Could not find a matching symbol at offset {param.getStackOffset()} in {self.get_full_name()}"
)
if match.data_type == "T_NOTYPE(0000)":
logger.warning("Skipping stack parameter of type NOTYPE")
return
if param.getDataType() != self.type_importer.import_pdb_type_into_ghidra(
match.data_type
):
logger.error(
"Type mismatch for parameter: %s in Ghidra, %s in PDB", param, match
)
return
name = match.name
if name == "__formal":
# these can cause name collisions if multiple ones are present
name = f"__formal_{index}"
param.setName(name, SourceType.USER_DEFINED)
def get_matching_stack_symbol(self, stack_offset: int) -> Optional[CppStackSymbol]:
return next(
(
symbol
for symbol in self.signature.stack_symbols
if isinstance(symbol, CppStackSymbol)
and symbol.stack_offset == stack_offset
),
None,
)
def get_matching_register_symbol(
self, register: str
) -> Optional[CppRegisterSymbol]:
return next(
(
symbol
for symbol in self.signature.stack_symbols
if isinstance(symbol, CppRegisterSymbol) and symbol.register == register
),
None,
)
def _set_this_adjust(
self,
ghidra_function: Function,
):
"""
When `this adjust` is non-zero, the pointer type of `this` needs to be replaced by an offset version.
The offset can only be set on a typedef on the pointer. We also must enable custom storage so we can modify
the auto-generated `this` parameter.
"""
# Necessary in order to overwite the auto-generated `this`
ghidra_function.setCustomVariableStorage(True)
this_parameter = next(
(
param
for param in ghidra_function.getParameters()
if param.isRegisterVariable() and param.getName() == "this"
),
None,
)
if this_parameter is None:
logger.error(
"Failed to find `this` parameter in a function with `this adjust = %d`",
self.signature.this_adjust,
)
else:
current_ghidra_type = this_parameter.getDataType()
assert isinstance(current_ghidra_type, Pointer)
class_name = current_ghidra_type.getDataType().getName()
typedef_name = f"{class_name}PtrOffset0x{self.signature.this_adjust:x}"
typedef_ghidra_type = TypedefDataType(
current_ghidra_type.getCategoryPath(),
typedef_name,
current_ghidra_type,
)
ComponentOffsetSettingsDefinition.DEF.setValue(
typedef_ghidra_type.getDefaultSettings(), self.signature.this_adjust
)
typedef_ghidra_type = add_data_type_or_reuse_existing(
self.api, typedef_ghidra_type
)
this_parameter.setDataType(typedef_ghidra_type, SourceType.USER_DEFINED)