Created
March 4, 2021 20:28
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Flattening Heuristic Implementation
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# (c) Tim Blazytko 2021 | |
# implementation based on the blog post "Automated Detection of Control-flow Flattening" | |
# https://synthesis.to/2021/03/03/flattening_detection.html | |
import sys | |
from miasm.analysis.binary import Container | |
from miasm.analysis.machine import Machine | |
from miasm.core.locationdb import LocationDB | |
def calc_flattening_score(asm_graph, loc_db): | |
# init score | |
score = 0.0 | |
# walk over all entry nodes in the graph | |
for head in asm_graph.heads_iter(): | |
# compute dominator tree | |
dominator_tree = asm_graph.compute_dominator_tree(head) | |
# walk over all basic blocks | |
for block in asm_graph.blocks: | |
# get location key for basic block via basic block address | |
block_key = loc_db.get_offset_location(block.lines[0].offset) | |
# get all blocks that are dominated by the current block | |
dominated = set( | |
[block_key] + [b for b in dominator_tree.walk_depth_first_forward(block_key)]) | |
# check for a back edge | |
if not any([b in dominated for b in asm_graph.predecessors(block_key)]): | |
continue | |
# calculate relation of dominated blocks to the blocks in the graph | |
score = max(score, len(dominated)/len(asm_graph.nodes())) | |
return score | |
# check args | |
if len(sys.argv) < 3: | |
print("[x] Syntax: {} <file> <addr>".format(sys.argv[0])) | |
sys.exit() | |
# parse stdin | |
file_path = sys.argv[1] | |
start_addr = int(sys.argv[2], 16) | |
# init symbol table | |
loc_db = LocationDB() | |
# open the binary for analysis | |
container = Container.from_stream(open(file_path, 'rb'), loc_db) | |
# cpu abstraction | |
machine = Machine(container.arch) | |
# init disassemble engine | |
mdis = machine.dis_engine(container.bin_stream, loc_db=loc_db) | |
# disassemble the function at address | |
asm_cfg = mdis.dis_multiblock(start_addr) | |
flattening_score = calc_flattening_score(asm_cfg, loc_db) | |
print(f"flattening score {flattening_score} for function {hex(start_addr)}") |
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