Revert "Run overflow detection in a thread pool"

pull/212/head
Bernhard Mueller 7 years ago committed by GitHub
parent ffa8cfb284
commit 320ef63250
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  1. 113
      mythril/analysis/modules/integer.py
  2. 2
      mythril/analysis/modules/transaction_order_independence.py
  3. 12
      mythril/analysis/solver.py

@ -4,13 +4,10 @@ from mythril.analysis.ops import *
from mythril.analysis.report import Issue
from mythril.exceptions import UnsatError
from laser.ethereum.taint_analysis import TaintRunner
from multiprocessing.pool import ThreadPool
from threading import RLock
import re
import copy
import logging
import datetime
locker = RLock()
'''
MODULE DESCRIPTION:
@ -25,47 +22,19 @@ def execute(statespace):
:param statespace: Statespace to analyse
:return: Found issues
"""
pool = ThreadPool(4)
logging.debug("Executing module: INTEGER")
issues = []
results = []
durations = []
start = datetime.datetime.now()
for k in statespace.nodes:
node = statespace.nodes[k]
results.append(pool.apply_async(check_node, [statespace, node]))
pool.close()
pool.join()
for k in statespace.nodes:
node = statespace.nodes[k]
for state in node.states:
results += _check_integer_underflow(statespace, state, node)
for result in results:
g, d = result.get()
if g is not None:
issues += g
durations.append(d)
t = durations[0]
for i in durations[1:]:
t += i
for state in node.states:
issues += _check_integer_underflow(statespace, state, node)
issues += _check_integer_overflow(statespace, state, node)
stop = datetime.datetime.now()
print(t)
print(stop-start)
return issues
def check_node(statespace, node):
start = datetime.datetime.now()
results = []
for state in node.states:
results += _check_integer_overflow(statespace, state, node)
end = datetime.datetime.now()
return results, end - start
def _check_integer_overflow(statespace, state, node):
"""
@ -76,7 +45,6 @@ def _check_integer_overflow(statespace, state, node):
:return: found issue
"""
issues = []
# try:
# Check the instruction
instruction = state.get_current_instruction()
@ -84,10 +52,8 @@ def _check_integer_overflow(statespace, state, node):
return issues
# Formulate overflow constraints
ctx = state.context
stack = state.mstate.stack
op0, op1 = stack[1], stack[-2]
op0, op1 = stack[-1], stack[-2]
# An integer overflow is possible if op0 + op1 or op0 * op1 > MAX_UINT
# Do a type check
@ -97,9 +63,9 @@ def _check_integer_overflow(statespace, state, node):
# Change ints to BitVec
if type(op0) is int:
op0 = BitVecVal(op0, 256, ctx)
op0 = BitVecVal(op0, 256)
if type(op1) is int:
op1 = BitVecVal(op1, 256, ctx)
op1 = BitVecVal(op1, 256)
# Formulate expression
if instruction['opcode'] == "ADD":
@ -107,20 +73,17 @@ def _check_integer_overflow(statespace, state, node):
else:
expr = op1 * op0
assert op0.ctx == op1.ctx
assert expr.ctx == ctx
# Check satisfiable
constraint = Or(And(ULT(expr, op0), op1 != 0, ctx), And(ULT(expr, op1), op0 != 0, ctx), ctx)
constraint = Or(And(ULT(expr, op0), op1 != 0), And(ULT(expr, op1), op0 != 0))
model = _try_constraints(node.constraints, [constraint])
if model is None:
logging.debug("[INTEGER_OVERFLOW] no model found")
return issues
if not _verify_integer_overflow(statespace, node, state, constraint):
if not _verify_integer_overflow(statespace, node, expr, state, model, constraint, op0, op1):
return issues
# Build issue
issue = Issue(node.contract_name, node.function_name, instruction['address'], "Integer Overflow ", "Warning")
@ -133,11 +96,11 @@ def _check_integer_overflow(statespace, state, node):
return issues
def _verify_integer_overflow(statespace, node, state, constraint):
def _verify_integer_overflow(statespace, node, expr, state, model, constraint, op0, op1):
""" Verifies existence of integer overflow """
# If we get to this point then there has been an integer overflow
# Find out if the overflowed value is actually used
interesting_usages = _search_children(statespace, node, constraint=[constraint], index=node.states.index(state))
interesting_usages = _search_children(statespace, node, expr, constraint=[constraint], index=node.states.index(state))
# Stop if it isn't
if len(interesting_usages) == 0:
@ -151,13 +114,9 @@ def _try_constraints(constraints, new_constraints):
Tries new constraints
:return Model if satisfiable otherwise None
"""
_constraints = constraints[:]
ctx = constraints[0].ctx if len(constraints) > 0 else None
_constraints = copy.deepcopy(constraints)
for constraint in new_constraints:
if ctx is not None:
_constraints.append(copy.deepcopy(constraint).translate(ctx))
else:
_constraints.append(copy.deepcopy(constraint))
_constraints.append(copy.deepcopy(constraint))
try:
model = solver.get_model(_constraints)
return model
@ -177,9 +136,12 @@ def _check_integer_underflow(statespace, state, node):
if instruction['opcode'] == "SUB":
stack = state.mstate.stack
op0 = stack[-1]
op1 = stack[-2]
constraints = copy.deepcopy(node.constraints)
# Filter for patterns that indicate benign underflows
# Pattern 1: (96 + calldatasize_MAIN) - (96), where (96 + calldatasize_MAIN) would underflow if calldatasize is very large.
@ -197,33 +159,32 @@ def _check_integer_underflow(statespace, state, node):
str(instruction['address'])))
allowed_types = [int, BitVecRef, BitVecNumRef]
if not (type(op0) in allowed_types and type(op1) in allowed_types):
return []
if type(op0) in allowed_types and type(op1) in allowed_types:
constraints.append(UGT(op1, op0))
c = UGT(op1, op0)
try:
model = _try_constraints(node.constraints, [c])
if model is None:
logging.debug("[INTEGER_UNDERFLOW] no model found")
return []
model = solver.get_model(constraints)
# If we get to this point then there has been an integer underflow
# Find out if the overflowed value is actually used
interesting_usages = _search_children(statespace, node, index=node.states.index(state))
# If we get to this point then there has been an integer overflow
# Find out if the overflowed value is actually used
interesting_usages = _search_children(statespace, node, (op0 - op1), index=node.states.index(state))
# Stop if it isn't
if len(interesting_usages) == 0:
return issues
# Stop if it isn't
if len(interesting_usages) == 0:
return issues
issue = Issue(node.contract_name, node.function_name, instruction['address'], "Integer Underflow",
"Warning")
issue = Issue(node.contract_name, node.function_name, instruction['address'], "Integer Underflow",
"Warning")
issue.description = "A possible integer underflow exists in the function `" + node.function_name + "`.\n" \
"The subtraction may result in a value < 0."
issue.description = "A possible integer underflow exists in the function `" + node.function_name + "`.\n" \
"The subtraction may result in a value < 0."
issue.debug = solver.pretty_print_model(model)
issues.append(issue)
issue.debug = solver.pretty_print_model(model)
issues.append(issue)
except UnsatError:
logging.debug("[INTEGER_UNDERFLOW] no model found")
return issues
@ -251,7 +212,7 @@ def _check_sstore(state, taint_result):
return taint_result.check(state, -2)
def _search_children(statespace, node, taint_result=None, constraint=[], index=0, depth=0, max_depth=64):
def _search_children(statespace, node, expression, taint_result=None, constraint=[], index=0, depth=0, max_depth=64):
"""
Checks the statespace for children states, with JUMPI or SSTORE instuctions,
for dependency on expression
@ -299,7 +260,7 @@ def _search_children(statespace, node, taint_result=None, constraint=[], index=0
]
for child in children:
results += _search_children(statespace, child, taint_result, depth=depth + 1, max_depth=max_depth)
results += _search_children(statespace, child, expression, taint_result, depth=depth + 1, max_depth=max_depth)
return results

@ -128,7 +128,7 @@ def _try_constraints(constraints, new_constraints):
"""
_constraints = copy.deepcopy(constraints)
for constraint in new_constraints:
_constraints.append(copy.deepcopy(constraint).translate(constraints[0].ctx))
_constraints.append(copy.deepcopy(constraint))
try:
model = solver.get_model(_constraints)
return model

@ -1,13 +1,13 @@
from z3 import Solver, simplify, sat, ExprRef, SolverFor
from z3 import Solver, simplify, sat
from mythril.exceptions import UnsatError
def get_model(constraints):
context = constraints[0].ctx
s = Solver(ctx=context)
s.set("timeout", 5000)
s.add(constraints)
s = Solver()
s.set("timeout", 10000)
for constraint in constraints:
s.add(constraint)
if (s.check() == sat):

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