Files
capa/scripts/show-object-layout.py
2025-01-15 12:09:16 +00:00

392 lines
13 KiB
Python

import sys
import logging
import sqlite3
import argparse
from typing import Optional
from pathlib import Path
from dataclasses import dataclass
import rich
import rich.table
import pefile
import lancelot
import lancelot.be2utils
import networkx as nx
from lancelot.be2utils import BinExport2Index,ReadMemoryError, AddressSpace
from lancelot.be2utils.binexport2_pb2 import BinExport2
import capa.main
logger = logging.getLogger(__name__)
def is_vertex_type(vertex: BinExport2.CallGraph.Vertex, type_: BinExport2.CallGraph.Vertex.Type.ValueType) -> bool:
return vertex.HasField("type") and vertex.type == type_
def is_vertex_thunk(vertex: BinExport2.CallGraph.Vertex) -> bool:
return is_vertex_type(vertex, BinExport2.CallGraph.Vertex.Type.THUNK)
THUNK_CHAIN_DEPTH_DELTA = 5
def compute_thunks(be2: BinExport2, idx: BinExport2Index) -> dict[int, int]:
# from thunk address to target function address
thunks: dict[int, int] = {}
for addr, vertex_idx in idx.vertex_index_by_address.items():
vertex: BinExport2.CallGraph.Vertex = be2.call_graph.vertex[vertex_idx]
if not is_vertex_thunk(vertex):
continue
curr_vertex_idx: int = vertex_idx
for _ in range(THUNK_CHAIN_DEPTH_DELTA):
thunk_callees: list[int] = idx.callees_by_vertex_index[curr_vertex_idx]
# if this doesn't hold, then it doesn't seem like this is a thunk,
# because either, len is:
# 0 and the thunk doesn't point to anything, such as `jmp eax`, or
# >1 and the thunk may end up at many functions.
if not thunk_callees:
# maybe we have an indirect jump, like `jmp eax`
# that we can't actually resolve here.
break
assert len(thunk_callees) == 1, f"thunk @ {hex(addr)} failed"
thunked_vertex_idx: int = thunk_callees[0]
thunked_vertex: BinExport2.CallGraph.Vertex = be2.call_graph.vertex[thunked_vertex_idx]
if not is_vertex_thunk(thunked_vertex):
assert thunked_vertex.HasField("address")
thunks[addr] = thunked_vertex.address
break
curr_vertex_idx = thunked_vertex_idx
return thunks
def read_string(address_space: AddressSpace, address: int) -> Optional[str]:
try:
# if at end of segment then there might be an overrun here.
buf: bytes = address_space.read_memory(address, 0x100)
except ReadMemoryError:
logger.debug("failed to read memory: 0x%x", address)
return None
string: Optional[str] = None
# note: we *always* break after the first iteration
for s in capa.features.extractors.strings.extract_ascii_strings(buf):
if s.offset != 0:
break
return string
# note: we *always* break after the first iteration
for s in capa.features.extractors.strings.extract_unicode_strings(buf):
if s.offset != 0:
break
return string
return None
@dataclass
class AssemblageRow:
# from table: binaries
binary_id: int
file_name: str
platform: str
build_mode: str
toolset_version: str
github_url: str
optimization: str
repo_last_update: int
size: int
path: str
license: str
binary_hash: str
repo_commit_hash: str
# from table: functions
function_id: int
function_name: str
function_hash: str
top_comments: str
source_codes: str
prototype: str
_source_file: str
# from table: rvas
rva_id: int
start_rva: int
end_rva: int
@property
def source_file(self):
# cleanup some extra metadata provided by assemblage
return self._source_file.partition(" (MD5: ")[0].partition(" (0x3: ")[0]
class Assemblage:
conn: sqlite3.Connection
samples: Path
def __init__(self, db: Path, samples: Path):
super().__init__()
self.db = db
self.samples = samples
self.conn = sqlite3.connect(self.db)
with self.conn:
self.conn.executescript("""
PRAGMA journal_mode = WAL;
PRAGMA synchronous = NORMAL;
PRAGMA busy_timeout = 5000;
PRAGMA cache_size = -20000; -- 20MB
PRAGMA foreign_keys = true;
PRAGMA temp_store = memory;
BEGIN IMMEDIATE TRANSACTION;
CREATE INDEX IF NOT EXISTS idx__functions__binary_id ON functions (binary_id);
CREATE INDEX IF NOT EXISTS idx__rvas__function_id ON rvas (function_id);
CREATE VIEW IF NOT EXISTS assemblage AS
SELECT
binaries.id AS binary_id,
binaries.file_name AS file_name,
binaries.platform AS platform,
binaries.build_mode AS build_mode,
binaries.toolset_version AS toolset_version,
binaries.github_url AS github_url,
binaries.optimization AS optimization,
binaries.repo_last_update AS repo_last_update,
binaries.size AS size,
binaries.path AS path,
binaries.license AS license,
binaries.hash AS hash,
binaries.repo_commit_hash AS repo_commit_hash,
functions.id AS function_id,
functions.name AS function_name,
functions.hash AS function_hash,
functions.top_comments AS top_comments,
functions.source_codes AS source_codes,
functions.prototype AS prototype,
functions.source_file AS source_file,
rvas.id AS rva_id,
rvas.start AS start_rva,
rvas.end AS end_rva
FROM binaries
JOIN functions ON binaries.id = functions.binary_id
JOIN rvas ON functions.id = rvas.function_id;
""")
def get_row_by_binary_id(self, binary_id: int) -> AssemblageRow:
with self.conn:
cur = self.conn.execute("SELECT * FROM assemblage WHERE binary_id = ? LIMIT 1;", (binary_id, ))
return AssemblageRow(*cur.fetchone())
def get_rows_by_binary_id(self, binary_id: int) -> AssemblageRow:
with self.conn:
cur = self.conn.execute("SELECT * FROM assemblage WHERE binary_id = ?;", (binary_id, ))
row = cur.fetchone()
while row:
yield AssemblageRow(*row)
row = cur.fetchone()
def get_path_by_binary_id(self, binary_id: int) -> Path:
with self.conn:
cur = self.conn.execute("""SELECT path FROM assemblage WHERE binary_id = ? LIMIT 1""", (binary_id, ))
return self.samples / cur.fetchone()[0]
def get_pe_by_binary_id(self, binary_id: int) -> pefile.PE:
path = self.get_path_by_binary_id(binary_id)
return pefile.PE(data=path.read_bytes(), fast_load=True)
def main(argv=None):
if argv is None:
argv = sys.argv[1:]
parser = argparse.ArgumentParser(description="Inspect object boundaries in compiled programs")
capa.main.install_common_args(parser, wanted={})
parser.add_argument("assemblage_database", type=Path, help="path to Assemblage database")
parser.add_argument("assemblage_directory", type=Path, help="path to Assemblage samples directory")
parser.add_argument("binary_id", type=int, help="primary key of binary to inspect")
args = parser.parse_args(args=argv)
try:
capa.main.handle_common_args(args)
except capa.main.ShouldExitError as e:
return e.status_code
import logging
logging.getLogger("goblin.pe").setLevel(logging.WARNING)
if not args.assemblage_database.is_file():
raise ValueError("database doesn't exist")
db = Assemblage(args.assemblage_database, args.assemblage_directory)
@dataclass
class Function:
file: str
name: str
start_rva: int
end_rva: int
functions = [
Function(
file=m.source_file,
name=m.function_name,
start_rva=m.start_rva,
end_rva=m.end_rva,
)
for m in db.get_rows_by_binary_id(args.binary_id)
]
pe = db.get_pe_by_binary_id(args.binary_id)
base_address: int = pe.OPTIONAL_HEADER.ImageBase
pe_path = db.get_path_by_binary_id(args.binary_id)
be2: BinExport2 = lancelot.get_binexport2_from_bytes(
pe_path.read_bytes(),
function_hints=[
base_address + function.start_rva
for function in functions
]
)
idx = lancelot.be2utils.BinExport2Index(be2)
address_space = lancelot.be2utils.AddressSpace.from_pe(pe, base_address)
thunks = compute_thunks(be2, idx)
g = nx.MultiDiGraph()
for flow_graph_index, flow_graph in enumerate(be2.flow_graph):
datas: set[int] = set()
callees: set[str] = set()
entry_basic_block_index: int = flow_graph.entry_basic_block_index
flow_graph_address: int = idx.get_basic_block_address(entry_basic_block_index)
for basic_block_index in flow_graph.basic_block_index:
basic_block: BinExport2.BasicBlock = be2.basic_block[basic_block_index]
for instruction_index, instruction, instruction_address in idx.basic_block_instructions(basic_block):
for addr in instruction.call_target:
addr = thunks.get(addr, addr)
if addr not in idx.vertex_index_by_address:
# disassembler did not define function at address
logger.debug("0x%x is not a vertex", addr)
continue
vertex_idx: int = idx.vertex_index_by_address[addr]
vertex: BinExport2.CallGraph.Vertex = be2.call_graph.vertex[vertex_idx]
callees.add(vertex.address)
for data_reference_index in idx.data_reference_index_by_source_instruction_index.get(instruction_index, []):
data_reference: BinExport2.DataReference = be2.data_reference[data_reference_index]
data_reference_address: int = data_reference.address
if data_reference_address in idx.insn_address_by_index:
# appears to be code
continue
datas.add(data_reference_address)
vertex_index = idx.vertex_index_by_address[flow_graph_address]
name = idx.get_function_name_by_vertex(vertex_index)
g.add_node(
flow_graph_address,
address=flow_graph_address,
type="function",
)
if datas or callees:
logger.info("%s @ 0x%X:", name, flow_graph_address)
for data in sorted(datas):
logger.info(" - 0x%X", data)
g.add_node(
data,
address=data,
type="data",
)
g.add_edge(
flow_graph_address,
data,
key="reference",
source_address=flow_graph_address,
destination_address=data,
)
for callee in sorted(callees):
logger.info(" - %s", idx.get_function_name_by_address(callee))
g.add_node(
callee,
address=callee,
type="function",
)
g.add_edge(
flow_graph_address,
callee,
key="call",
source_address=flow_graph_address,
destination_address=callee,
)
else:
logger.info("%s @ 0x%X: (none)", name, flow_graph_address)
for section in pe.sections:
# within each section, emit a neighbor edge for each pair of neighbors.
section_nodes = [
node for node, attrs in g.nodes(data=True)
if (section.VirtualAddress + base_address) <= attrs["address"] < (base_address + section.VirtualAddress + section.Misc_VirtualSize)
]
for i in range(1, len(section_nodes)):
a = section_nodes[i-1]
b = section_nodes[i]
g.add_edge(
a,
b,
key="neighbor",
source_address=a,
destination_address=b,
)
for function in functions:
g.nodes[base_address+function.start_rva]["name"] = function.name
g.nodes[base_address+function.start_rva]["file"] = function.file
for line in nx.generate_gexf(g):
print(line)
communities = nx.algorithms.community.louvain_communities(g)
for i, community in enumerate(communities):
print(f"[{i}]:")
for node in community:
if "name" in g.nodes[node]:
print(f" - {hex(node)}: {g.nodes[node]['file']}")
else:
print(f" - {hex(node)}")
# db.conn.close()
if __name__ == "__main__":
sys.exit(main())