| |
|
|
| |
| import pandas |
| import re |
| import os |
| import subprocess |
| import sys |
| from tempfile import NamedTemporaryFile |
|
|
| gname = sys.argv[1] |
| bname = sys.argv[2] |
| oname = sys.argv[3] |
|
|
| linere = re.compile(r"symbol\(([^,]+), (func|method), '([^)]+)'\)\.") |
|
|
|
|
| anafile = NamedTemporaryFile(prefix=os.path.basename(bname) + "_", suffix=".bat_ana") |
| ananame = anafile.name |
|
|
|
|
| def get_all_dis(addrs=None): |
|
|
| addrstr = "" |
| if addrs is not None: |
| addrstr = " ".join([f"--function-at {x}" for x in addrs]) |
|
|
| subprocess.check_output(f"/data/research/rose/install-latest/bin/bat-ana {addrstr} --no-post-analysis -o {ananame} {bname} 2>/dev/null", shell=True) |
|
|
|
|
| output = subprocess.check_output(f"/data/research/rose/install-latest/bin/bat-dis --no-insn-address --no-bb-cfg-arrows --color=off {ananame} 2>/dev/null", shell=True) |
| output = re.sub(b' +', b' ', output) |
|
|
| func_dis = {} |
| last_func = None |
| current_output = [] |
|
|
| for l in output.splitlines(): |
| if l.startswith(b";;; function 0x"): |
| if last_func is not None: |
| func_dis[last_func] = b"\n".join(current_output) |
| last_func = int(l.split()[2], 16) |
| current_output.clear() |
|
|
| if not b";;" in l: |
| current_output.append(l) |
|
|
| if last_func is not None: |
| if last_func in func_dis: |
| print("Warning: Ignoring multiple functions at the same address") |
| else: |
| func_dis[last_func] = b"\n".join(current_output) |
|
|
| return func_dis |
|
|
| def get_dis_from_all_dis(addr): |
| if addr in all_dis: |
| return all_dis[addr] |
| else: |
| return None |
|
|
| def get_dis(addr): |
| try: |
| output = subprocess.check_output("/data/research/rose/install-latest/bin/bat-dis --no-bb-cfg-arrows --function %s --color=off %s 2>/dev/null | fgrep -v ';;'" % (addr, ananame), shell=True) |
| output = re.sub(b' +', b' ', output) |
| |
| return output |
| except subprocess.CalledProcessError: |
| return None |
|
|
| |
| df = pandas.DataFrame(columns=['Binary', 'Addr', 'Name', 'Type', 'Disassembly']) |
|
|
| parsed_data = [] |
|
|
| with open(gname, "r") as f: |
| for l in f: |
|
|
| if linere.match(l): |
| m = linere.match(l) |
| addr = m.group(1) |
| typ = m.group(2) |
| name = m.group(3) |
| |
|
|
| parsed_data.append((addr,typ,name)) |
|
|
| |
|
|
| all_addrs = set(x[0] for x in parsed_data) |
|
|
| all_dis = get_all_dis(all_addrs) |
|
|
| for addr, typ, name in parsed_data: |
|
|
| dis = get_dis_from_all_dis(int(addr, 16)) |
| |
| if dis is None: |
| dis = "" |
| typ = "notfound" |
| else: |
| dis = dis.decode("utf8") |
|
|
| df = df.append({'Binary': bname, 'Addr': addr, 'Name': name, 'Type': typ, 'Disassembly': dis}, ignore_index=True) |
| |
| df.to_csv(oname, index=False) |
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