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