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#!/usr/bin/env python
#
# Copyright (C) 2017 The Android Open Source Project
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Outputs quantitative information about Address Sanitizer traces."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from collections import Counter
from datetime import datetime
import argparse
import bisect
import os
import re
def find_match(list_substrings, big_string):
"""Returns the category a trace belongs to by searching substrings."""
for ind, substr in enumerate(list_substrings):
if big_string.find(substr) != -1:
return ind
return list_substrings.index("Uncategorized")
def absolute_to_relative(data_lists, symbol_traces):
"""Address changed to Dex File offset and shifting time to 0 min in ms."""
offsets = data_lists["offsets"]
time_offsets = data_lists["times"]
# Format of time provided by logcat
time_format_str = "%H:%M:%S.%f"
first_access_time = datetime.strptime(data_lists["plot_list"][0][0],
time_format_str)
for ind, elem in enumerate(data_lists["plot_list"]):
elem_date_time = datetime.strptime(elem[0], time_format_str)
# Shift time values so that first access is at time 0 milliseconds
elem[0] = int((elem_date_time - first_access_time).total_seconds() *
1000)
address_access = int(elem[1], 16)
# For each poisoned address, find highest Dex File starting address less
# than address_access
dex_start_list, dex_size_list = zip(*data_lists["dex_ends_list"])
dex_file_ind = bisect.bisect(dex_start_list, address_access) - 1
dex_offset = address_access - dex_start_list[dex_file_ind]
# Assumes that offsets is already sorted and constrains offset to be
# within range of the dex_file
max_offset = min(offsets[1], dex_size_list[dex_file_ind])
# Meant to nullify data that does not meet offset criteria if specified
if (dex_offset >= offsets[0] and dex_offset < max_offset and
elem[0] >= time_offsets[0] and elem[0] < time_offsets[1]):
elem.insert(1, dex_offset)
# Category that a data point belongs to
elem.insert(2, data_lists["cat_list"][ind])
else:
elem[:] = 4 * [None]
symbol_traces[ind] = None
data_lists["cat_list"][ind] = None
def print_category_info(cat_split, outname, out_dir_name, title):
"""Prints information of category and puts related traces in a files."""
trace_counts_dict = Counter(cat_split)
trace_counts_list_ordered = trace_counts_dict.most_common()
print(53 * "-")
print(title)
print("\tNumber of distinct traces: " +
str(len(trace_counts_list_ordered)))
print("\tSum of trace counts: " +
str(sum([trace[1] for trace in trace_counts_list_ordered])))
print("\n\tCount: How many traces appeared with count\n\t", end="")
print(Counter([trace[1] for trace in trace_counts_list_ordered]))
with open(os.path.join(out_dir_name, outname), "w") as output_file:
for trace in trace_counts_list_ordered:
output_file.write("\n\nNumber of times appeared: " +
str(trace[1]) +
"\n")
output_file.write(trace[0].strip())
def print_categories(categories, symbol_file_split, out_dir_name):
"""Prints details of all categories."""
symbol_file_split = [trace for trace in symbol_file_split
if trace is not None]
# Info of traces containing a call to current category
for cat_num, cat_name in enumerate(categories[1:]):
print("\nCategory #%d" % (cat_num + 1))
cat_split = [trace for trace in symbol_file_split
if cat_name in trace]
cat_file_name = cat_name.lower() + "cat_output"
print_category_info(cat_split, cat_file_name, out_dir_name,
"Traces containing: " + cat_name)
noncat_split = [trace for trace in symbol_file_split
if cat_name not in trace]
print_category_info(noncat_split, "non" + cat_file_name,
out_dir_name,
"Traces not containing: " +
cat_name)
# All traces (including uncategorized) together
print_category_info(symbol_file_split, "allcat_output",
out_dir_name,
"All traces together:")
# Traces containing none of keywords
# Only used if categories are passed in
if len(categories) > 1:
noncat_split = [trace for trace in symbol_file_split if
all(cat_name not in trace
for cat_name in categories)]
print_category_info(noncat_split, "noncat_output",
out_dir_name,
"Uncategorized calls")
def is_directory(path_name):
"""Checks if a path is an actual directory."""
if not os.path.isdir(path_name):
dir_error = "%s is not a directory" % (path_name)
raise argparse.ArgumentTypeError(dir_error)
return path_name
def parse_args(argv):
"""Parses arguments passed in."""
parser = argparse.ArgumentParser()
parser.add_argument("-d", action="store",
default="", dest="out_dir_name", type=is_directory,
help="Output Directory")
parser.add_argument("--dex-file", action="store",
default=None, dest="dex_file",
type=argparse.FileType("r"),
help="Baksmali Dex File Dump")
parser.add_argument("--offsets", action="store", nargs=2,
default=[float(0), float("inf")],
dest="offsets",
metavar="OFFSET",
type=float,
help="Filters out accesses not between provided"
" offsets if provided. Can provide 'inf'"
" for infinity")
parser.add_argument("--times", action="store", nargs=2,
default=[float(0), float("inf")],
dest="times",
metavar="TIME",
type=float,
help="Filters out accesses not between provided"
" time offsets if provided. Can provide 'inf'"
" for infinity")
parser.add_argument("sanitizer_trace", action="store",
type=argparse.FileType("r"),
help="File containing sanitizer traces filtered by "
"prune_sanitizer_output.py")
parser.add_argument("symbol_trace", action="store",
type=argparse.FileType("r"),
help="File containing symbolized traces that match "
"sanitizer_trace")
parser.add_argument("dex_starts", action="store",
type=argparse.FileType("r"),
help="File containing starting addresses of Dex Files")
parser.add_argument("categories", action="store", nargs="*",
help="Keywords expected to show in large amounts of"
" symbolized traces")
return parser.parse_args(argv)
def get_dex_offset_data(line, dex_file_item):
""" Returns a tuple of dex file offset, item name, and data of a line."""
return (int(line[:line.find(":")], 16),
(dex_file_item,
line.split("|")[1].strip())
)
def read_data(parsed_argv):
"""Reads data from filepath arguments and parses them into lists."""
# Using a dictionary to establish relation between lists added
data_lists = {}
categories = parsed_argv.categories
# Makes sure each trace maps to some category
categories.insert(0, "Uncategorized")
data_lists["offsets"] = parsed_argv.offsets
data_lists["offsets"].sort()
data_lists["times"] = parsed_argv.times
data_lists["times"].sort()
logcat_file_data = parsed_argv.sanitizer_trace.readlines()
parsed_argv.sanitizer_trace.close()
symbol_file_split = parsed_argv.symbol_trace.read().split("Stack Trace")
# Removes text before first trace
symbol_file_split = symbol_file_split[1:]
parsed_argv.symbol_trace.close()
dex_start_file_data = parsed_argv.dex_starts.readlines()
parsed_argv.dex_starts.close()
if parsed_argv.dex_file is not None:
dex_file_data = parsed_argv.dex_file.read()
parsed_argv.dex_file.close()
# Splits baksmali dump by each item
item_split = [s.splitlines() for s in re.split(r"\|\[[0-9]+\] ",
dex_file_data)]
# Splits each item by line and creates a list of offsets and a
# corresponding list of the data associated with that line
offset_list, offset_data = zip(*[get_dex_offset_data(line, item[0])
for item in item_split
for line in item[1:]
if re.search("[0-9a-f]{6}:", line)
is not None and
line.find("|") != -1])
data_lists["offset_list"] = offset_list
data_lists["offset_data"] = offset_data
else:
dex_file_data = None
# Each element is a tuple of time and address accessed
data_lists["plot_list"] = [[elem[1] for elem in enumerate(line.split())
if elem[0] in (1, 11)
]
for line in logcat_file_data
if "use-after-poison" in line or
"unknown-crash" in line
]
# Contains a mapping between traces and the category they belong to
# based on arguments
data_lists["cat_list"] = [categories[find_match(categories, trace)]
for trace in symbol_file_split]
# Contains a list of starting address of all dex files to calculate dex
# offsets
data_lists["dex_ends_list"] = [(int(line.split()[9], 16),
int(line.split()[12])
)
for line in dex_start_file_data
if "RegisterDexFile" in line
]
# Dex File Starting addresses must be sorted because bisect requires sorted
# lists.
data_lists["dex_ends_list"].sort()
return data_lists, categories, symbol_file_split
def main():
"""Takes in trace information and outputs details about them."""
parsed_argv = parse_args(None)
data_lists, categories, symbol_file_split = read_data(parsed_argv)
# Formats plot_list such that each element is a data point
absolute_to_relative(data_lists, symbol_file_split)
for file_ext, cat_name in enumerate(categories):
out_file_name = os.path.join(parsed_argv.out_dir_name, "time_output_" +
str(file_ext) +
".dat")
with open(out_file_name, "w") as output_file:
output_file.write("# Category: " + cat_name + "\n")
output_file.write("# Time, Dex File Offset_10, Dex File Offset_16,"
" Address, Item Accessed, Item Member Accessed"
" Unaligned\n")
for time, dex_offset, category, address in data_lists["plot_list"]:
if category == cat_name:
output_file.write(
str(time) +
" " +
str(dex_offset) +
" #" +
hex(dex_offset) +
" " +
str(address))
if "offset_list" in data_lists:
dex_offset_index = bisect.bisect(
data_lists["offset_list"],
dex_offset) - 1
aligned_dex_offset = (data_lists["offset_list"]
[dex_offset_index])
dex_offset_data = (data_lists["offset_data"]
[dex_offset_index])
output_file.write(
" " +
"|".join(dex_offset_data) +
" " +
str(aligned_dex_offset != dex_offset))
output_file.write("\n")
print_categories(categories, symbol_file_split, parsed_argv.out_dir_name)
if __name__ == "__main__":
main()