def exec_instruction(mn_str, init_values, results, index=0, offset=0):
"""Symbolically execute an instruction and check the expected results."""
# Assemble and disassemble the instruction
instr = mn_mep.fromstring(mn_str, "b")
instr.mode = "b"
mn_bin = mn_mep.asm(instr)[index]
try:
instr = mn_mep.dis(mn_bin, "b")
except Disasm_Exception:
assert (False) # miasm don't know what to do
# Specify the instruction offset and compute the destination label
instr.offset = offset
loc_db = LocationDB()
if instr.dstflow():
instr.dstflow2label(loc_db)
# Get the IR
im = ir_mepb(loc_db)
iir, eiir = im.get_ir(instr)
# Filter out IRDst
iir = [
ir for ir in iir
if not (isinstance(ir, ExprAff) and isinstance(ir.dst, ExprId)
and ir.dst.name == "IRDst")
]
# Prepare symbolic execution
sb = SymbolicExecutionEngine(ir_a_mepb(loc_db), regs_init)
# Assign int values before symbolic evaluation
for expr_id, expr_value in init_values:
sb.symbols[expr_id] = expr_value
# Execute the IR
ab = AssignBlock(iir)
sb.eval_updt_assignblk(ab)
# Check if expected expr_id were modified
matched_results = 0
for expr_id, expr_value in results:
result = sb.eval_expr(expr_id)
if isinstance(result, ExprLoc):
addr = loc_db.get_location_offset(result.loc_key)
if expr_value.arg == addr:
matched_results += 1
continue
elif result == expr_value:
matched_results += 1
continue
# Ensure that all expected results were verified
if len(results) is not matched_results:
print "Expected:", results
print "Modified:", [r for r in sb.modified(mems=False)]
assert (False)
def exec_instruction(mn_str, init_values, results, index=0, offset=0):
"""Symbolically execute an instruction and check the expected results."""
# Assemble and disassemble the instruction
instr = mn_mep.fromstring(mn_str, "b")
instr.mode = "b"
mn_bin = mn_mep.asm(instr)[index]
try:
instr = mn_mep.dis(mn_bin, "b")
except Disasm_Exception:
assert(False) # miasm don't know what to do
# Specify the instruction offset and compute the destination label
instr.offset = offset
loc_db = LocationDB()
if instr.dstflow():
instr.dstflow2label(loc_db)
# Get the IR
im = ir_mepb(loc_db)
iir, eiir = im.get_ir(instr)
# Filter out IRDst
iir = [ir for ir in iir if not (isinstance(ir, ExprAssign) and
isinstance(ir.dst, ExprId) and
ir.dst.name == "IRDst")]
# Prepare symbolic execution
sb = SymbolicExecutionEngine(ir_a_mepb(loc_db), regs_init)
# Assign int values before symbolic evaluation
for expr_id, expr_value in init_values:
sb.symbols[expr_id] = expr_value
# Execute the IR
ab = AssignBlock(iir)
sb.eval_updt_assignblk(ab)
# Check if expected expr_id were modified
matched_results = 0
for expr_id, expr_value in results:
result = sb.eval_expr(expr_id)
if isinstance(result, ExprLoc):
addr = loc_db.get_location_offset(result.loc_key)
if expr_value.arg == addr:
matched_results += 1
continue
elif result == expr_value:
matched_results += 1
continue
# Ensure that all expected results were verified
if len(results) is not matched_results:
print "Expected:", results
print "Modified:", [r for r in sb.modified(mems=False)]
assert(False)
def __init__(self, *args, **kwargs):
sp = LocationDB()
Jitter.__init__(self, ir_mepb(sp), *args, **kwargs)
self.vm.set_big_endian()
self.ir_arch.jit_pc = self.ir_arch.arch.regs.PC
def __init__(self, *args, **kwargs):
sp = LocationDB()
Jitter.__init__(self, ir_mepb(sp), *args, **kwargs)
self.vm.set_big_endian()
self.ir_arch.jit_pc = self.ir_arch.arch.regs.PC