def _find_leafs(self):
# Loop through every function
for func_ea in idautils.Functions():
# Count the number of xrefs to this function
func = idaapi.get_func(func_ea)
if func:
leaf_function = True
ea = ida_shims.start_ea(func)
end_ea = ida_shims.end_ea(func)
# Loop through all instructions in this function looking
# for call instructions; if found, then this is not a leaf.
while ea <= end_ea:
insn = ida_shims.decode_insn(ea)
if idaapi.is_call_insn(ea):
leaf_function = False
break
ea = ida_shims.next_head(ea)
if leaf_function:
self.functions.append(
Function(start=ida_shims.start_ea(func),
end=ida_shims.end_ea(func),
leaf=True,
loop=self.has_loop(func),
argc=self.argp.argc(func)))
# Sort leafs by xref count, largest first
self.functions.sort(key=lambda f: f.xrefs, reverse=True)
def colorize_node(self, ea, color):
func = idaapi.get_func(ea)
if func:
for block in idaapi.FlowChart(func):
block_start_ea = ida_shims.start_ea(block)
block_end_ea = ida_shims.end_ea(block)
if block_start_ea <= ea and block_end_ea > ea:
ea = block_start_ea
while ea < block_end_ea:
idaapi.set_item_color(ea, color)
ea = ida_shims.next_head(ea)
break
def block(self, block):
'''
Returns a tuple:
([formal, block, signatures], [fuzzy, block, signatures],
set([unique, immediate, values]), [called, function, names])
'''
formal = []
fuzzy = []
functions = []
immediates = []
ea = ida_shims.start_ea(block)
while ea < ida_shims.end_ea(block):
insn = ida_shims.decode_insn(ea)
# Get a list of all data/code refs from the current instruction
drefs = [x for x in idautils.DataRefsFrom(ea)]
crefs = [x for x in idautils.CodeRefsFrom(ea, False)]
# Add all instruction mnemonics to the formal block hash
formal.append(ida_shims.print_insn_mnem(ea))
# If this is a call instruction, be sure to note the name of the
# function being called. This is used to apply call-based
# signatures to functions.
#
# For fuzzy signatures, we can't use the actual name or EA of the
# function, but rather just want to note that a function call was
# made.
#
# Formal signatures already have the call instruction mnemonic,
# which is more specific than just saying that a call was made.
if idaapi.is_call_insn(ea):
for cref in crefs:
func_name = ida_shims.get_name(cref)
if func_name:
functions.append(func_name)
fuzzy.append("funcref")
# If there are data references from the instruction, check to see
# if any of them are strings. These are looked up in the
# pre-generated strings dictionary.
#
# String values are easily identifiable, and are used as part of
# both the fuzzy and the formal signatures.
#
# It is more difficult to determine if non-string values are
# constants or not; for both fuzzy and formal signatures, just use
# "data" to indicate that some data was referenced.
elif drefs:
for dref in drefs:
if self.strings.has_key(dref):
formal.append(self.strings[dref].value)
fuzzy.append(self.strings[dref].value)
else:
formal.append("dataref")
fuzzy.append("dataref")
# If there are no data or code references from the instruction, use
# every operand as part of the formal signature.
#
# Fuzzy signatures are only concerned with interesting immediate
# values, that is, values that are greater than 65,535, are not
# memory addresses, and are not displayed as negative values.
elif not drefs and not crefs:
ops = ida_shims.get_operands(insn)
for n in range(0, len(ops)):
opnd_text = ida_shims.print_operand(ea, n)
formal.append(opnd_text)
if ops[n].type == idaapi.o_imm and \
not opnd_text.startswith('-'):
if ops[n].value >= 0xFFFF:
if ida_shims.get_full_flags(ops[n].value) == 0:
fuzzy.append(str(ops[n].value))
immediates.append(ops[n].value)
ea = ida_shims.next_head(ea)
return (self.sighash(''.join(formal)), self.sighash(''.join(fuzzy)),
immediates, functions)
def _profile_function(self):
current_ea = ida_shims.get_screen_ea()
current_function = ida_shims.get_func_name(current_ea)
current_function_ea = ida_shims.get_name_ea_simple(current_function)
if current_function:
self.function = current_function
ea = ida_shims.get_func_attr(current_function_ea, idc.FUNCATTR_START)
end_ea = ida_shims.get_func_attr(current_function_ea, idc.FUNCATTR_END)
self.highlighted = ida_shims.get_highlighted_identifier()
while ea < end_ea and ea != idc.BADADDR and self.highlighted:
i = 0
match = False
optype = self.READ
insn = ida_shims.decode_insn(ea)
mnem = ida_shims.print_insn_mnem(ea)
if self.highlighted in mnem:
match = True
elif idaapi.is_call_insn(ea):
for xref in idautils.XrefsFrom(ea):
if xref.type != 21:
name = ida_shims.get_name(xref.to)
if name and self.highlighted in name:
match = True
break
else:
while True:
opnd = ida_shims.print_operand(ea, i)
if opnd:
if self.highlighted in opnd:
canon_feature = ida_shims.get_canon_feature(insn)
match = True
if canon_feature & self.OPND_WRITE_FLAGS[i]:
optype = self.WRITE
i += 1
else:
break
if not match:
comment = idc.GetCommentEx(ea, 0)
if comment and self.highlighted in comment:
match = True
else:
comment = idc.GetCommentEx(ea, 1)
if comment and self.highlighted in comment:
match = True
else:
comment = None
if match:
if ea > current_ea:
direction = self.DOWN
elif ea < current_ea:
direction = self.UP
else:
direction = self.THIS
self.xrefs[ea] = {
'offset': ida_shims.get_func_off_str(ea),
'mnem': mnem,
'type': optype,
'direction': direction,
'text': idc.GetDisasm(ea),
}
ea = ida_shims.next_head(ea)