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angr/angr | angr/state_plugins/solver.py | SimSolver._eval | def _eval(self, e, n, extra_constraints=(), exact=None):
"""
Evaluate an expression, using the solver if necessary. Returns primitives.
:param e: the expression
:param n: the number of desired solutions
:param extra_constraints: extra constraints to apply to the solver
:... | python | def _eval(self, e, n, extra_constraints=(), exact=None):
"""
Evaluate an expression, using the solver if necessary. Returns primitives.
:param e: the expression
:param n: the number of desired solutions
:param extra_constraints: extra constraints to apply to the solver
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angr/angr | angr/state_plugins/solver.py | SimSolver.max | def max(self, e, extra_constraints=(), exact=None):
"""
Return the maximum value of expression `e`.
:param e : expression (an AST) to evaluate
:param extra_constraints: extra constraints (as ASTs) to add to the solver for this solve
:param exact : if Fa... | python | def max(self, e, extra_constraints=(), exact=None):
"""
Return the maximum value of expression `e`.
:param e : expression (an AST) to evaluate
:param extra_constraints: extra constraints (as ASTs) to add to the solver for this solve
:param exact : if Fa... | [
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angr/angr | angr/state_plugins/solver.py | SimSolver.solution | def solution(self, e, v, extra_constraints=(), exact=None):
"""
Return True if `v` is a solution of `expr` with the extra constraints, False otherwise.
:param e: An expression (an AST) to evaluate
:param v: The proposed solution (an AST)
:para... | python | def solution(self, e, v, extra_constraints=(), exact=None):
"""
Return True if `v` is a solution of `expr` with the extra constraints, False otherwise.
:param e: An expression (an AST) to evaluate
:param v: The proposed solution (an AST)
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angr/angr | angr/state_plugins/solver.py | SimSolver.unsat_core | def unsat_core(self, extra_constraints=()):
"""
This function returns the unsat core from the backend solver.
:param extra_constraints: Extra constraints (as ASTs) to add to the solver for this solve.
:return: The unsat core.
"""
if o.CONSTRAINT_TRACKING_IN_SOLVER not ... | python | def unsat_core(self, extra_constraints=()):
"""
This function returns the unsat core from the backend solver.
:param extra_constraints: Extra constraints (as ASTs) to add to the solver for this solve.
:return: The unsat core.
"""
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angr/angr | angr/state_plugins/solver.py | SimSolver.satisfiable | def satisfiable(self, extra_constraints=(), exact=None):
"""
This function does a constraint check and checks if the solver is in a sat state.
:param extra_constraints: Extra constraints (as ASTs) to add to s for this solve
:param exact: If False, return approximate solu... | python | def satisfiable(self, extra_constraints=(), exact=None):
"""
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angr/angr | angr/state_plugins/solver.py | SimSolver.add | def add(self, *constraints):
"""
Add some constraints to the solver.
:param constraints: Pass any constraints that you want to add (ASTs) as varargs.
"""
cc = self._adjust_constraint_list(constraints)
return self._solver.add(cc) | python | def add(self, *constraints):
"""
Add some constraints to the solver.
:param constraints: Pass any constraints that you want to add (ASTs) as varargs.
"""
cc = self._adjust_constraint_list(constraints)
return self._solver.add(cc) | [
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angr/angr | angr/state_plugins/solver.py | SimSolver._cast_to | def _cast_to(e, solution, cast_to):
"""
Casts a solution for the given expression to type `cast_to`.
:param e: The expression `value` is a solution for
:param value: The solution to be cast
:param cast_to: The type `value` should be cast to. Must be one of the currently supporte... | python | def _cast_to(e, solution, cast_to):
"""
Casts a solution for the given expression to type `cast_to`.
:param e: The expression `value` is a solution for
:param value: The solution to be cast
:param cast_to: The type `value` should be cast to. Must be one of the currently supporte... | [
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angr/angr | angr/state_plugins/solver.py | SimSolver.eval_upto | def eval_upto(self, e, n, cast_to=None, **kwargs):
"""
Evaluate an expression, using the solver if necessary. Returns primitives as specified by the `cast_to`
parameter. Only certain primitives are supported, check the implementation of `_cast_to` to see which ones.
:param e: the expres... | python | def eval_upto(self, e, n, cast_to=None, **kwargs):
"""
Evaluate an expression, using the solver if necessary. Returns primitives as specified by the `cast_to`
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angr/angr | angr/state_plugins/solver.py | SimSolver.eval_one | def eval_one(self, e, **kwargs):
"""
Evaluate an expression to get the only possible solution. Errors if either no or more than one solution is
returned. A kwarg parameter `default` can be specified to be returned instead of failure!
:param e: the expression to get a solution for
... | python | def eval_one(self, e, **kwargs):
"""
Evaluate an expression to get the only possible solution. Errors if either no or more than one solution is
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:param e: the expression to get a solution for
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angr/angr | angr/state_plugins/solver.py | SimSolver.eval_atmost | def eval_atmost(self, e, n, **kwargs):
"""
Evaluate an expression to get at most `n` possible solutions. Errors if either none or more than `n` solutions
are returned.
:param e: the expression to get a solution for
:param n: the inclusive upper limit on the number of solutions
... | python | def eval_atmost(self, e, n, **kwargs):
"""
Evaluate an expression to get at most `n` possible solutions. Errors if either none or more than `n` solutions
are returned.
:param e: the expression to get a solution for
:param n: the inclusive upper limit on the number of solutions
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angr/angr | angr/state_plugins/solver.py | SimSolver.unique | def unique(self, e, **kwargs):
"""
Returns True if the expression `e` has only one solution by querying
the constraint solver. It does also add that unique solution to the
solver's constraints.
"""
if not isinstance(e, claripy.ast.Base):
return True
#... | python | def unique(self, e, **kwargs):
"""
Returns True if the expression `e` has only one solution by querying
the constraint solver. It does also add that unique solution to the
solver's constraints.
"""
if not isinstance(e, claripy.ast.Base):
return True
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angr/angr | angr/state_plugins/solver.py | SimSolver.symbolic | def symbolic(self, e): # pylint:disable=R0201
"""
Returns True if the expression `e` is symbolic.
"""
if type(e) in (int, bytes, float, bool):
return False
return e.symbolic | python | def symbolic(self, e): # pylint:disable=R0201
"""
Returns True if the expression `e` is symbolic.
"""
if type(e) in (int, bytes, float, bool):
return False
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angr/angr | angr/state_plugins/solver.py | SimSolver.single_valued | def single_valued(self, e):
"""
Returns True whether `e` is a concrete value or is a value set with
only 1 possible value. This differs from `unique` in that this *does*
not query the constraint solver.
"""
if self.state.mode == 'static':
if type(e) in (int, b... | python | def single_valued(self, e):
"""
Returns True whether `e` is a concrete value or is a value set with
only 1 possible value. This differs from `unique` in that this *does*
not query the constraint solver.
"""
if self.state.mode == 'static':
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angr/angr | angr/state_plugins/solver.py | SimSolver.simplify | def simplify(self, e=None):
"""
Simplifies `e`. If `e` is None, simplifies the constraints of this
state.
"""
if e is None:
return self._solver.simplify()
elif isinstance(e, (int, float, bool)):
return e
elif isinstance(e, claripy.ast.Base)... | python | def simplify(self, e=None):
"""
Simplifies `e`. If `e` is None, simplifies the constraints of this
state.
"""
if e is None:
return self._solver.simplify()
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return e
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angr/angr | angr/state_plugins/preconstrainer.py | SimStatePreconstrainer.preconstrain | def preconstrain(self, value, variable):
"""
Add a preconstraint that ``variable == value`` to the state.
:param value: The concrete value. Can be a bitvector or a bytestring or an integer.
:param variable: The BVS to preconstrain.
"""
if not isinstance(value, c... | python | def preconstrain(self, value, variable):
"""
Add a preconstraint that ``variable == value`` to the state.
:param value: The concrete value. Can be a bitvector or a bytestring or an integer.
:param variable: The BVS to preconstrain.
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angr/angr | angr/state_plugins/preconstrainer.py | SimStatePreconstrainer.preconstrain_file | def preconstrain_file(self, content, simfile, set_length=False):
"""
Preconstrain the contents of a file.
:param content: The content to preconstrain the file to. Can be a bytestring or a list thereof.
:param simfile: The actual simfile to preconstrain
"""
repair... | python | def preconstrain_file(self, content, simfile, set_length=False):
"""
Preconstrain the contents of a file.
:param content: The content to preconstrain the file to. Can be a bytestring or a list thereof.
:param simfile: The actual simfile to preconstrain
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angr/angr | angr/state_plugins/preconstrainer.py | SimStatePreconstrainer.preconstrain_flag_page | def preconstrain_flag_page(self, magic_content):
"""
Preconstrain the data in the flag page.
:param magic_content: The content of the magic page as a bytestring.
"""
for m, v in zip(magic_content, self.state.cgc.flag_bytes):
self.preconstrain(m, v) | python | def preconstrain_flag_page(self, magic_content):
"""
Preconstrain the data in the flag page.
:param magic_content: The content of the magic page as a bytestring.
"""
for m, v in zip(magic_content, self.state.cgc.flag_bytes):
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angr/angr | angr/state_plugins/preconstrainer.py | SimStatePreconstrainer.remove_preconstraints | def remove_preconstraints(self, to_composite_solver=True, simplify=True):
"""
Remove the preconstraints from the state.
If you are using the zen plugin, this will also use that to filter the constraints.
:param to_composite_solver: Whether to convert the replacement solver to a com... | python | def remove_preconstraints(self, to_composite_solver=True, simplify=True):
"""
Remove the preconstraints from the state.
If you are using the zen plugin, this will also use that to filter the constraints.
:param to_composite_solver: Whether to convert the replacement solver to a com... | [
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angr/angr | angr/state_plugins/preconstrainer.py | SimStatePreconstrainer.reconstrain | def reconstrain(self):
"""
Split the solver. If any of the subsolvers time out after a short timeout (10 seconds), re-add the
preconstraints associated with each of its variables. Hopefully these constraints still allow us to do
meaningful things to the state.
"""
# test... | python | def reconstrain(self):
"""
Split the solver. If any of the subsolvers time out after a short timeout (10 seconds), re-add the
preconstraints associated with each of its variables. Hopefully these constraints still allow us to do
meaningful things to the state.
"""
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angr/angr | angr/knowledge_plugins/cfg/cfg_model.py | ReferenceManager.add_ref | def add_ref(self, ref):
"""
Add a reference to a memory data object.
:param CodeReference ref: The reference.
:return: None
"""
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self.data_addr_to_ref[ref.memory_data.addr].append(ref) | python | def add_ref(self, ref):
"""
Add a reference to a memory data object.
:param CodeReference ref: The reference.
:return: None
"""
self.refs[ref.insn_addr].append(ref)
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angr/angr | angr/knowledge_plugins/cfg/cfg_model.py | CFGModel.get_any_node | def get_any_node(self, addr, is_syscall=None, anyaddr=False, force_fastpath=False):
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Get an arbitrary CFGNode (without considering their contexts) from our graph.
:param int addr: Address of the beginning of the basic block. Set anyaddr to True to support arbitrary
... | python | def get_any_node(self, addr, is_syscall=None, anyaddr=False, force_fastpath=False):
"""
Get an arbitrary CFGNode (without considering their contexts) from our graph.
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angr/angr | angr/knowledge_plugins/cfg/cfg_model.py | CFGModel.get_all_nodes | def get_all_nodes(self, addr, is_syscall=None, anyaddr=False):
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Get all CFGNodes whose address is the specified one.
:param addr: Address of the node
:param is_syscall: True returns the syscall node, False returns the normal CFGNode, None returns both
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angr/angr | angr/knowledge_plugins/cfg/cfg_model.py | CFGModel.get_predecessors | def get_predecessors(self, cfgnode, excluding_fakeret=True, jumpkind=None):
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Get predecessors of a node in the control flow graph.
:param CFGNode cfgnode: The node.
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angr/angr | angr/knowledge_plugins/cfg/cfg_model.py | CFGModel.get_successors | def get_successors(self, node, excluding_fakeret=True, jumpkind=None):
"""
Get successors of a node in the control flow graph.
:param CFGNode node: The node.
:param bool excluding_fakeret: True if you want to exclude all successors that is connected to the node
... | python | def get_successors(self, node, excluding_fakeret=True, jumpkind=None):
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Get successors of a node in the control flow graph.
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angr/angr | angr/knowledge_plugins/cfg/cfg_model.py | CFGModel.get_successors_and_jumpkind | def get_successors_and_jumpkind(self, node, excluding_fakeret=True):
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Get a list of tuples where the first element is the successor of the CFG node and the second element is the
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:param CFGNode node: The node.
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angr/angr | angr/knowledge_plugins/cfg/cfg_model.py | CFGModel.get_all_predecessors | def get_all_predecessors(self, cfgnode):
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:param CFGNode cfgnode: The CFGNode object
:return: A list of predecessors in the CFG
:rtype: list
"""
s = set()
for child, parent in networkx.... | python | def get_all_predecessors(self, cfgnode):
"""
Get all predecessors of a specific node on the control flow graph.
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angr/angr | angr/knowledge_plugins/cfg/cfg_model.py | CFGModel.get_branching_nodes | def get_branching_nodes(self):
"""
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"""
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nodes.add(n)
return nodes | python | def get_branching_nodes(self):
"""
Returns all nodes that has an out degree >= 2
"""
nodes = set()
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angr/angr | angr/knowledge_plugins/cfg/cfg_model.py | CFGModel.get_exit_stmt_idx | def get_exit_stmt_idx(self, src_block, dst_block):
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Note that there must be a direct edge between the two blocks, oth... | python | def get_exit_stmt_idx(self, src_block, dst_block):
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angr/angr | angr/engines/soot/engine.py | SimEngineSoot.prepare_native_return_state | def prepare_native_return_state(native_state):
"""
Hook target for native function call returns.
Recovers and stores the return value from native memory and toggles the
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"""
javavm_simos = native_state.project.simos
... | python | def prepare_native_return_state(native_state):
"""
Hook target for native function call returns.
Recovers and stores the return value from native memory and toggles the
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angr/angr | angr/storage/file.py | SimFile.concretize | def concretize(self, **kwargs):
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size = self.state.solver.min(self._size, **kwargs)
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angr/angr | angr/storage/file.py | SimPackets.concretize | def concretize(self, **kwargs):
"""
Returns a list of the packets read or written as bytestrings.
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kwargs['cast_to'] = bytes
return [b'' if i == 0 else self.state.solver.eval(x[0][i*self.state.arc... | python | def concretize(self, **kwargs):
"""
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angr/angr | angr/storage/file.py | SimPackets.read | def read(self, pos, size, **kwargs):
"""
Read a packet from the stream.
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:param size: The size to read. May be symbolic.
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"""
Read a packet from the stream.
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angr/angr | angr/storage/file.py | SimPackets.write | def write(self, pos, data, size=None, events=True, **kwargs):
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Write a packet to the stream.
:param int pos: The packet number to write in the sequence of the stream. May be None to append to the stream.
:param data: The data to write, as a string or bitvector.
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"""
Write a packet to the stream.
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angr/angr | angr/storage/file.py | SimFileDescriptorBase.read | def read(self, pos, size, **kwargs):
"""
Reads some data from the file, storing it into memory.
:param pos: The address to write the read data into memory
:param size: The requested length of the read
:return: The real length of the read
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"""
Reads some data from the file, storing it into memory.
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:return: The real length of the read
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:param size: The requested size of the write
:return: The real length of the write
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"""
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angr/angr | angr/storage/file.py | SimFileDescriptorDuplex.concretize | def concretize(self, **kwargs):
"""
Return a concretization of the underlying files, as a tuple of (read file, write file).
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return (self._read_file.concretize(**kwargs), self._write_file.concretize(**kwargs)) | python | def concretize(self, **kwargs):
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angr/angr | angr/state_plugins/cgc.py | SimStateCGC.get_max_sinkhole | def get_max_sinkhole(self, length):
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Find a sinkhole which is large enough to support `length` bytes.
This uses first-fit. The first sinkhole (ordered in descending order by their address)
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s... | python | def get_max_sinkhole(self, length):
"""
Find a sinkhole which is large enough to support `length` bytes.
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angr/angr | angr/state_plugins/plugin.py | SimStatePlugin.memo | def memo(f):
"""
A decorator function you should apply to ``copy``
"""
def inner(self, memo=None, **kwargs):
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if id(self) in memo:
return memo[id(self)]
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c = f(self, memo, *... | python | def memo(f):
"""
A decorator function you should apply to ``copy``
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angr/angr | angr/analyses/vfg.py | VFGNode.append_state | def append_state(self, s, is_widened_state=False):
"""
Appended a new state to this VFGNode.
:param s: The new state to append
:param is_widened_state: Whether it is a widened state or not.
"""
if not is_widened_state:
self.all_states.append(s)
se... | python | def append_state(self, s, is_widened_state=False):
"""
Appended a new state to this VFGNode.
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angr/angr | angr/analyses/vfg.py | VFG._top_function_analysis_task | def _top_function_analysis_task(self):
"""
Get the first FunctionAnalysis task in the stack.
:return: The top function analysis task in the stack, or None if there isn't any.
:rtype: FunctionAnalysis
"""
for r in reversed(self._task_stack):
if isinstance(r, ... | python | def _top_function_analysis_task(self):
"""
Get the first FunctionAnalysis task in the stack.
:return: The top function analysis task in the stack, or None if there isn't any.
:rtype: FunctionAnalysis
"""
for r in reversed(self._task_stack):
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angr/angr | angr/analyses/vfg.py | VFG.get_any_node | def get_any_node(self, addr):
"""
Get any VFG node corresponding to the basic block at @addr.
Note that depending on the context sensitivity level, there might be
multiple nodes corresponding to different contexts. This function will
return the first one it encounters, which migh... | python | def get_any_node(self, addr):
"""
Get any VFG node corresponding to the basic block at @addr.
Note that depending on the context sensitivity level, there might be
multiple nodes corresponding to different contexts. This function will
return the first one it encounters, which migh... | [
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angr/angr | angr/analyses/vfg.py | VFG._pre_analysis | def _pre_analysis(self):
"""
Executed before analysis starts. Necessary initializations are performed here.
:return: None
"""
l.debug("Starting from %#x", self._start)
# initialize the task stack
self._task_stack = [ ]
# initialize the execution counte... | python | def _pre_analysis(self):
"""
Executed before analysis starts. Necessary initializations are performed here.
:return: None
"""
l.debug("Starting from %#x", self._start)
# initialize the task stack
self._task_stack = [ ]
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angr/angr | angr/analyses/vfg.py | VFG._job_sorting_key | def _job_sorting_key(self, job):
"""
Get the sorting key of a VFGJob instance.
:param VFGJob job: the VFGJob object.
:return: An integer that determines the order of this job in the queue.
:rtype: int
"""
MAX_BLOCKS_PER_FUNCTION = 1000000
task_functions... | python | def _job_sorting_key(self, job):
"""
Get the sorting key of a VFGJob instance.
:param VFGJob job: the VFGJob object.
:return: An integer that determines the order of this job in the queue.
:rtype: int
"""
MAX_BLOCKS_PER_FUNCTION = 1000000
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angr/angr | angr/analyses/vfg.py | VFG._pre_job_handling | def _pre_job_handling(self, job):
"""
Some code executed before actually processing the job.
:param VFGJob job: the VFGJob object.
:return: None
"""
# did we reach the final address?
if self._final_address is not None and job.addr == self._final_address:
... | python | def _pre_job_handling(self, job):
"""
Some code executed before actually processing the job.
:param VFGJob job: the VFGJob object.
:return: None
"""
# did we reach the final address?
if self._final_address is not None and job.addr == self._final_address:
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angr/angr | angr/analyses/vfg.py | VFG._handle_successor | def _handle_successor(self, job, successor, all_successors):
"""
Process each successor generated by the job, and return a new list of succeeding jobs.
:param VFGJob job: The VFGJob instance.
:param SimState successor: The succeeding state.
:param list all_successors: A list of... | python | def _handle_successor(self, job, successor, all_successors):
"""
Process each successor generated by the job, and return a new list of succeeding jobs.
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angr/angr | angr/analyses/vfg.py | VFG._handle_successor_multitargets | def _handle_successor_multitargets(self, job, successor, all_successors):
"""
Generate new jobs for all possible successor targets when there are more than one possible concrete value for
successor.ip
:param VFGJob job: The VFGJob instance.
:param SimState successor: The succeed... | python | def _handle_successor_multitargets(self, job, successor, all_successors):
"""
Generate new jobs for all possible successor targets when there are more than one possible concrete value for
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angr/angr | angr/analyses/vfg.py | VFG._merge_states | def _merge_states(self, old_state, new_state):
"""
Merge two given states, and return a new one.
:param old_state:
:param new_state:
:returns: The merged state, and whether a merging has occurred
"""
# print old_state.dbg_print_stack()
# print new_state.... | python | def _merge_states(self, old_state, new_state):
"""
Merge two given states, and return a new one.
:param old_state:
:param new_state:
:returns: The merged state, and whether a merging has occurred
"""
# print old_state.dbg_print_stack()
# print new_state.... | [
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angr/angr | angr/analyses/vfg.py | VFG._widen_states | def _widen_states(old_state, new_state):
"""
Perform widen operation on the given states, and return a new one.
:param old_state:
:param new_state:
:returns: The widened state, and whether widening has occurred
"""
# print old_state.dbg_print_stack()
# p... | python | def _widen_states(old_state, new_state):
"""
Perform widen operation on the given states, and return a new one.
:param old_state:
:param new_state:
:returns: The widened state, and whether widening has occurred
"""
# print old_state.dbg_print_stack()
# p... | [
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angr/angr | angr/analyses/vfg.py | VFG._narrow_states | def _narrow_states(node, old_state, new_state, previously_widened_state): # pylint:disable=unused-argument,no-self-use
"""
Try to narrow the state!
:param old_state:
:param new_state:
:param previously_widened_state:
:returns: The narrowed state, and whether a narrowing... | python | def _narrow_states(node, old_state, new_state, previously_widened_state): # pylint:disable=unused-argument,no-self-use
"""
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angr/angr | angr/analyses/vfg.py | VFG._prepare_initial_state | def _prepare_initial_state(self, function_start, state):
"""
Get the state to start the analysis for function.
:param int function_start: Address of the function
:param SimState state: The program state to base on.
"""
if state is None:
state = self.project.... | python | def _prepare_initial_state(self, function_start, state):
"""
Get the state to start the analysis for function.
:param int function_start: Address of the function
:param SimState state: The program state to base on.
"""
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state = self.project.... | [
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angr/angr | angr/analyses/vfg.py | VFG._set_return_address | def _set_return_address(self, state, ret_addr):
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Set the return address of the current state to a specific address. We assume we are at the beginning of a
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"""
Set the return address of the current state to a specific address. We assume we are at the beginning of a
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angr/angr | angr/analyses/vfg.py | VFG._create_graph | def _create_graph(self, return_target_sources=None):
"""
Create a DiGraph out of the existing edge map.
:param return_target_sources: Used for making up those missing returns
:returns: A networkx.DiGraph() object
"""
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# We set ... | python | def _create_graph(self, return_target_sources=None):
"""
Create a DiGraph out of the existing edge map.
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angr/angr | angr/analyses/vfg.py | VFG._graph_get_node | def _graph_get_node(self, block_id, terminator_for_nonexistent_node=False):
"""
Get an existing VFGNode instance from the graph.
:param BlockID block_id: The block ID for the node to get.
:param bool terminator_for_nonexistent_node: True if a Terminator (which is a S... | python | def _graph_get_node(self, block_id, terminator_for_nonexistent_node=False):
"""
Get an existing VFGNode instance from the graph.
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angr/angr | angr/analyses/vfg.py | VFG._graph_add_edge | def _graph_add_edge(self, src_block_id, dst_block_id, **kwargs):
"""
Add an edge onto the graph.
:param BlockID src_block_id: The block ID for source node.
:param BlockID dst_block_id: The block Id for destination node.
:param str jumpkind: The jumpkind of the edge.
... | python | def _graph_add_edge(self, src_block_id, dst_block_id, **kwargs):
"""
Add an edge onto the graph.
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:param BlockID dst_block_id: The block Id for destination node.
:param str jumpkind: The jumpkind of the edge.
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angr/angr | angr/analyses/vfg.py | VFG._create_new_jobs | def _create_new_jobs(self, job, successor, new_block_id, new_call_stack):
"""
Create a list of new VFG jobs for the successor state.
:param VFGJob job: The VFGJob instance.
:param SimState successor: The succeeding state.
:param BlockID new_block_id: Block ... | python | def _create_new_jobs(self, job, successor, new_block_id, new_call_stack):
"""
Create a list of new VFG jobs for the successor state.
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angr/angr | angr/analyses/vfg.py | VFG._remove_pending_return | def _remove_pending_return(self, job, pending_returns):
"""
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"""
# Build the tuples that we want to remove from the dict fake_func_retn_exits
tpls_to_remove = [ ]
call_stack_copy = job.call_stack_copy()
... | python | def _remove_pending_return(self, job, pending_returns):
"""
Remove all pending returns that are related to the current job.
"""
# Build the tuples that we want to remove from the dict fake_func_retn_exits
tpls_to_remove = [ ]
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angr/angr | angr/analyses/vfg.py | VFG._post_job_handling_debug | def _post_job_handling_debug(self, job, successors):
"""
Print out debugging information after handling a VFGJob and generating the succeeding jobs.
:param VFGJob job: The VFGJob instance.
:param list successors: A list of succeeding states.
:return: None
"""
fu... | python | def _post_job_handling_debug(self, job, successors):
"""
Print out debugging information after handling a VFGJob and generating the succeeding jobs.
:param VFGJob job: The VFGJob instance.
:param list successors: A list of succeeding states.
:return: None
"""
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angr/angr | angr/analyses/vfg.py | VFG._save_function_initial_state | def _save_function_initial_state(self, function_key, function_address, state):
"""
Save the initial state of a function, and merge it with existing ones if there are any.
:param FunctionKey function_key: The key to this function.
:param int function_address: Address of the function.
... | python | def _save_function_initial_state(self, function_key, function_address, state):
"""
Save the initial state of a function, and merge it with existing ones if there are any.
:param FunctionKey function_key: The key to this function.
:param int function_address: Address of the function.
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angr/angr | angr/analyses/vfg.py | VFG._save_function_final_state | def _save_function_final_state(self, function_key, function_address, state):
"""
Save the final state of a function, and merge it with existing ones if there are any.
:param FunctionKey function_key: The key to this function.
:param int function_address: Address of the function.
... | python | def _save_function_final_state(self, function_key, function_address, state):
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angr/angr | angr/analyses/vfg.py | VFG._get_nx_paths | def _get_nx_paths(self, begin, end):
"""
Get the possible (networkx) simple paths between two nodes or addresses
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Input: addresses or node instances
Return: a list of lists of nodes representing paths.
"""
if type(begin) is int and type(end)... | python | def _get_nx_paths(self, begin, end):
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Get the possible (networkx) simple paths between two nodes or addresses
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angr/angr | angr/analyses/vfg.py | VFG._merge_points | def _merge_points(self, function_address):
"""
Return the ordered merge points for a specific function.
:param int function_address: Address of the querying function.
:return: A list of sorted merge points (addresses).
:rtype: list
"""
# we are entering a new fu... | python | def _merge_points(self, function_address):
"""
Return the ordered merge points for a specific function.
:param int function_address: Address of the querying function.
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:rtype: list
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angr/angr | angr/analyses/vfg.py | VFG._widening_points | def _widening_points(self, function_address):
"""
Return the ordered widening points for a specific function.
:param int function_address: Address of the querying function.
:return: A list of sorted merge points (addresses).
:rtype: list
"""
# we are entering a ... | python | def _widening_points(self, function_address):
"""
Return the ordered widening points for a specific function.
:param int function_address: Address of the querying function.
:return: A list of sorted merge points (addresses).
:rtype: list
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angr/angr | angr/analyses/vfg.py | VFG._ordered_node_addrs | def _ordered_node_addrs(self, function_address):
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For a given function, return all nodes in an optimal traversal order. If the function does not exist, return an
empty list.
:param int function_address: Address of the function.
:return: A ordered list of the nodes.
:r... | python | def _ordered_node_addrs(self, function_address):
"""
For a given function, return all nodes in an optimal traversal order. If the function does not exist, return an
empty list.
:param int function_address: Address of the function.
:return: A ordered list of the nodes.
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angr/angr | angr/state_plugins/uc_manager.py | SimUCManager.assign | def assign(self, dst_addr_ast):
"""
Assign a new region for under-constrained symbolic execution.
:param dst_addr_ast: the symbolic AST which address of the new allocated region will be assigned to.
:return: as ast of memory address that points to a new region
"""
if ds... | python | def assign(self, dst_addr_ast):
"""
Assign a new region for under-constrained symbolic execution.
:param dst_addr_ast: the symbolic AST which address of the new allocated region will be assigned to.
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angr/angr | angr/state_plugins/uc_manager.py | SimUCManager.is_bounded | def is_bounded(self, ast):
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:param ast: an claripy.AST object
:return: True if there is at least one related constraint, False otherwise
"""
return len(ast.variables.intersection(self.st... | python | def is_bounded(self, ast):
"""
Test whether an AST is bounded by any existing constraint in the related solver.
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angr/angr | angr/analyses/cfg/indirect_jump_resolvers/mips_elf_fast.py | MipsElfFastResolver.resolve | def resolve(self, cfg, addr, func_addr, block, jumpkind):
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:param cfg: A CFG instance.
:param int addr: IRSB address.
:param int func_addr: The function address.
:p... | python | def resolve(self, cfg, addr, func_addr, block, jumpkind):
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angr/angr | angr/engines/hook.py | SimEngineHook.process | def process(self, state, procedure=None, force_addr=None, **kwargs):
"""
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angr/angr | angr/sim_state_options.py | SimStateOptions.difference | def difference(self, boolean_switches):
"""
[COMPATIBILITY]
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:param set boolean_switches: A collection of Boolean switches to disable.
:return: A new SimState... | python | def difference(self, boolean_switches):
"""
[COMPATIBILITY]
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angr/angr | angr/sim_state_options.py | SimStateOptions.tally | def tally(self, exclude_false=True, description=False):
"""
Return a string representation of all state options.
:param bool exclude_false: Whether to exclude Boolean switches that are disabled.
:param bool description: Whether to display the description of each option.
:ret... | python | def tally(self, exclude_false=True, description=False):
"""
Return a string representation of all state options.
:param bool exclude_false: Whether to exclude Boolean switches that are disabled.
:param bool description: Whether to display the description of each option.
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angr/angr | angr/sim_state_options.py | SimStateOptions.register_option | def register_option(cls, name, types, default=None, description=None):
"""
Register a state option.
:param str name: Name of the state option.
:param types: A collection of allowed types of this state option.
:param default: The default value of this sta... | python | def register_option(cls, name, types, default=None, description=None):
"""
Register a state option.
:param str name: Name of the state option.
:param types: A collection of allowed types of this state option.
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angr/angr | angr/sim_state_options.py | SimStateOptions.register_bool_option | def register_bool_option(cls, name, description=None):
"""
Register a Boolean switch as state option.
This is equivalent to cls.register_option(name, set([bool]), description=description)
:param str name: Name of the state option.
:param str description: The description o... | python | def register_bool_option(cls, name, description=None):
"""
Register a Boolean switch as state option.
This is equivalent to cls.register_option(name, set([bool]), description=description)
:param str name: Name of the state option.
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angr/angr | angr/state_plugins/heap/utils.py | concretize | def concretize(x, solver, sym_handler):
"""
For now a lot of naive concretization is done when handling heap metadata to keep things manageable. This idiom
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"""
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angr/angr | angr/sim_procedure.py | SimProcedure._describe_me | def _describe_me(self):
"""
return a 5-tuple of strings sufficient for formatting with ``%s%s%s%s%s`` to verbosely describe the procedure
"""
return (
self.display_name,
' (cont: %s)' % self.run_func if self.is_continuation else '',
' (syscall)' if sel... | python | def _describe_me(self):
"""
return a 5-tuple of strings sufficient for formatting with ``%s%s%s%s%s`` to verbosely describe the procedure
"""
return (
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angr/angr | angr/sim_procedure.py | SimProcedure.execute | def execute(self, state, successors=None, arguments=None, ret_to=None):
"""
Call this method with a SimState and a SimSuccessors to execute the procedure.
Alternately, successors may be none if this is an inline call. In that case, you should
provide arguments to the function.
"... | python | def execute(self, state, successors=None, arguments=None, ret_to=None):
"""
Call this method with a SimState and a SimSuccessors to execute the procedure.
Alternately, successors may be none if this is an inline call. In that case, you should
provide arguments to the function.
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angr/angr | angr/sim_procedure.py | SimProcedure.arg | def arg(self, i):
"""
Returns the ith argument. Raise a SimProcedureArgumentError if we don't have such an argument available.
:param int i: The index of the argument to get
:return: The argument
:rtype: object
"""
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r = sel... | python | def arg(self, i):
"""
Returns the ith argument. Raise a SimProcedureArgumentError if we don't have such an argument available.
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:return: The argument
:rtype: object
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angr/angr | angr/sim_procedure.py | SimProcedure.inline_call | def inline_call(self, procedure, *arguments, **kwargs):
"""
Call another SimProcedure in-line to retrieve its return value.
Returns an instance of the procedure with the ret_expr property set.
:param procedure: The class of the procedure to execute
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"""
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angr/angr | angr/sim_procedure.py | SimProcedure.ret | def ret(self, expr=None):
"""
Add an exit representing a return from this function.
If this is not an inline call, grab a return address from the state and jump to it.
If this is not an inline call, set a return expression with the calling convention.
"""
self.inhibit_aut... | python | def ret(self, expr=None):
"""
Add an exit representing a return from this function.
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angr/angr | angr/sim_procedure.py | SimProcedure.call | def call(self, addr, args, continue_at, cc=None):
"""
Add an exit representing calling another function via pointer.
:param addr: The address of the function to call
:param args: The list of arguments to call the function with
:param continue_at: Later, when the ca... | python | def call(self, addr, args, continue_at, cc=None):
"""
Add an exit representing calling another function via pointer.
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angr/angr | angr/sim_procedure.py | SimProcedure.jump | def jump(self, addr):
"""
Add an exit representing jumping to an address.
"""
self.inhibit_autoret = True
self._exit_action(self.state, addr)
self.successors.add_successor(self.state, addr, self.state.solver.true, 'Ijk_Boring') | python | def jump(self, addr):
"""
Add an exit representing jumping to an address.
"""
self.inhibit_autoret = True
self._exit_action(self.state, addr)
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angr/angr | angr/sim_procedure.py | SimProcedure.exit | def exit(self, exit_code):
"""
Add an exit representing terminating the program.
"""
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exit_code = self.state.solve... | python | def exit(self, exit_code):
"""
Add an exit representing terminating the program.
"""
self.inhibit_autoret = True
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self.state.options.discard(o.AUTO_REFS)
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angr/angr | angr/analyses/vsa_ddg.py | VSA_DDG._explore | def _explore(self):
"""
Starting from the start_node, explore the entire VFG, and perform the following:
- Generate def-use chains for all registers and memory addresses using a worklist
"""
# TODO: The worklist algorithm can definitely use some optimizations. It is a future wor... | python | def _explore(self):
"""
Starting from the start_node, explore the entire VFG, and perform the following:
- Generate def-use chains for all registers and memory addresses using a worklist
"""
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angr/angr | angr/analyses/vsa_ddg.py | VSA_DDG._track | def _track(self, state, live_defs):
"""
Given all live definitions prior to this program point, track the changes, and return a new list of live
definitions. We scan through the action list of the new state to track the changes.
:param state: The input state at that program point.... | python | def _track(self, state, live_defs):
"""
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angr/angr | angr/analyses/vsa_ddg.py | VSA_DDG._def_lookup | def _def_lookup(self, live_defs, variable):
"""
This is a backward lookup in the previous defs.
:param addr_list: a list of normalized addresses.
Note that, as we are using VSA, it is possible that @a is affected by several definitions.
:returns: a dict {s... | python | def _def_lookup(self, live_defs, variable):
"""
This is a backward lookup in the previous defs.
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angr/angr | angr/analyses/vsa_ddg.py | VSA_DDG._kill | def _kill(self, live_defs, variable, code_loc):
"""
Kill previous defs. `addr_list` is a list of normalized addresses.
"""
# Case 1: address perfectly match, we kill
# Case 2: a is a subset of the original address
# Case 3: a is a superset of the original address
... | python | def _kill(self, live_defs, variable, code_loc):
"""
Kill previous defs. `addr_list` is a list of normalized addresses.
"""
# Case 1: address perfectly match, we kill
# Case 2: a is a subset of the original address
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angr/angr | angr/analyses/vsa_ddg.py | VSA_DDG._add_edge | def _add_edge(self, s_a, s_b, **edge_labels):
"""
Add an edge in the graph from `s_a` to statement `s_b`, where `s_a` and `s_b` are tuples of statements of the
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"""
# Is that edge already in the graph ?
# If at least one is new, then we are not ... | python | def _add_edge(self, s_a, s_b, **edge_labels):
"""
Add an edge in the graph from `s_a` to statement `s_b`, where `s_a` and `s_b` are tuples of statements of the
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angr/angr | angr/analyses/vsa_ddg.py | VSA_DDG.get_all_nodes | def get_all_nodes(self, simrun_addr, stmt_idx):
"""
Get all DDG nodes matching the given basic block address and statement index.
"""
nodes=[]
for n in self.graph.nodes():
if n.simrun_addr == simrun_addr and n.stmt_idx == stmt_idx:
nodes.add(n)
... | python | def get_all_nodes(self, simrun_addr, stmt_idx):
"""
Get all DDG nodes matching the given basic block address and statement index.
"""
nodes=[]
for n in self.graph.nodes():
if n.simrun_addr == simrun_addr and n.stmt_idx == stmt_idx:
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angr/angr | angr/engines/vex/irop.py | SimIROp.vector_args | def vector_args(self, args):
"""
Yields each of the individual lane pairs from the arguments, in
order from most significan to least significant
"""
for i in reversed(range(self._vector_count)):
pieces = []
for vec in args:
pieces.append(... | python | def vector_args(self, args):
"""
Yields each of the individual lane pairs from the arguments, in
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angr/angr | angr/engines/vex/irop.py | SimIROp._op_generic_Clz | def _op_generic_Clz(self, args):
"""Count the leading zeroes"""
wtf_expr = claripy.BVV(self._from_size, self._from_size)
for a in range(self._from_size):
bit = claripy.Extract(a, a, args[0])
wtf_expr = claripy.If(bit==1, claripy.BVV(self._from_size-a-1, self._from_size), ... | python | def _op_generic_Clz(self, args):
"""Count the leading zeroes"""
wtf_expr = claripy.BVV(self._from_size, self._from_size)
for a in range(self._from_size):
bit = claripy.Extract(a, a, args[0])
wtf_expr = claripy.If(bit==1, claripy.BVV(self._from_size-a-1, self._from_size), ... | [
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angr/angr | angr/engines/vex/irop.py | SimIROp._op_generic_Ctz | def _op_generic_Ctz(self, args):
"""Count the trailing zeroes"""
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"""Count the trailing zeroes"""
wtf_expr = claripy.BVV(self._from_size, self._from_size)
for a in reversed(range(self._from_size)):
bit = claripy.Extract(a, a, args[0])
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angr/angr | angr/engines/vex/irop.py | SimIROp._op_generic_HAdd | def _op_generic_HAdd(self, args):
"""
Halving add, for some ARM NEON instructions.
"""
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if self.is_signed:
a = a.sign_extend(self._vector_size)
b = b.sign_extend(self._vector_size)
... | python | def _op_generic_HAdd(self, args):
"""
Halving add, for some ARM NEON instructions.
"""
components = []
for a, b in self.vector_args(args):
if self.is_signed:
a = a.sign_extend(self._vector_size)
b = b.sign_extend(self._vector_size)
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angr/angr | angr/engines/vex/irop.py | SimIROp._op_generic_QAdd | def _op_generic_QAdd(self, args):
"""
Saturating add.
"""
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top_a = a[self._vector_size-1]
top_b = b[self._vector_size-1]
res = a + b
top_r = res[self._vector_size-1]
if ... | python | def _op_generic_QAdd(self, args):
"""
Saturating add.
"""
components = []
for a, b in self.vector_args(args):
top_a = a[self._vector_size-1]
top_b = b[self._vector_size-1]
res = a + b
top_r = res[self._vector_size-1]
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angr/angr | angr/engines/vex/irop.py | SimIROp._op_generic_pack_StoU_saturation | def _op_generic_pack_StoU_saturation(self, args, src_size, dst_size):
"""
Generic pack with unsigned saturation.
Split args in chunks of src_size signed bits and in pack them into unsigned saturated chunks of dst_size bits.
Then chunks are concatenated resulting in a BV of len(args)*dst_... | python | def _op_generic_pack_StoU_saturation(self, args, src_size, dst_size):
"""
Generic pack with unsigned saturation.
Split args in chunks of src_size signed bits and in pack them into unsigned saturated chunks of dst_size bits.
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angr/angr | angr/engines/vex/irop.py | SimIROp._op_generic_StoU_saturation | def _op_generic_StoU_saturation(self, value, min_value, max_value): #pylint:disable=no-self-use
"""
Return unsigned saturated BV from signed BV.
Min and max value should be unsigned.
"""
return claripy.If(
claripy.SGT(value, max_value),
max_value,
... | python | def _op_generic_StoU_saturation(self, value, min_value, max_value): #pylint:disable=no-self-use
"""
Return unsigned saturated BV from signed BV.
Min and max value should be unsigned.
"""
return claripy.If(
claripy.SGT(value, max_value),
max_value,
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angr/angr | angr/analyses/cfg/cfg_fast_soot.py | CFGFastSoot._scan_block | def _scan_block(self, cfg_job):
"""
Scan a basic block starting at a specific address
:param CFGJob cfg_job: The CFGJob instance.
:return: a list of successors
:rtype: list
"""
addr = cfg_job.addr
current_func_addr = cfg_job.func_addr
if self._a... | python | def _scan_block(self, cfg_job):
"""
Scan a basic block starting at a specific address
:param CFGJob cfg_job: The CFGJob instance.
:return: a list of successors
:rtype: list
"""
addr = cfg_job.addr
current_func_addr = cfg_job.func_addr
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angr/angr | angr/analyses/cfg/cfg_fast_soot.py | CFGFastSoot._scan_soot_block | def _scan_soot_block(self, cfg_job, current_func_addr):
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Generate a list of successors (generating them each as entries) to IRSB.
Updates previous CFG nodes with edges.
:param CFGJob cfg_job: The CFGJob instance.
:param int current_func_addr: Address of the current function
... | python | def _scan_soot_block(self, cfg_job, current_func_addr):
"""
Generate a list of successors (generating them each as entries) to IRSB.
Updates previous CFG nodes with edges.
:param CFGJob cfg_job: The CFGJob instance.
:param int current_func_addr: Address of the current function
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angr/angr | angr/analyses/cfg/cfg_fast_soot.py | CFGFastSoot._create_jobs | def _create_jobs(self, target, jumpkind, current_function_addr, soot_block, addr, cfg_node, stmt_addr, stmt_idx): # pylint:disable=arguments-differ
"""
Given a node and details of a successor, makes a list of CFGJobs
and if it is a call or exit marks it appropriately so in the CFG
:pa... | python | def _create_jobs(self, target, jumpkind, current_function_addr, soot_block, addr, cfg_node, stmt_addr, stmt_idx): # pylint:disable=arguments-differ
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Given a node and details of a successor, makes a list of CFGJobs
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] | 4e2f97d56af5419ee73bdb30482c8dd8ff5f3e40 | https://github.com/angr/angr/blob/4e2f97d56af5419ee73bdb30482c8dd8ff5f3e40/angr/analyses/cfg/cfg_fast_soot.py#L371-L443 | train | Create a list of CFGJobs that are needed to perform a function call or exit. | Pu7Z6IJCgH3a,vcEHXBQXuDuh,sHOWSIAKtU58,ZVWAAMjVVHHl,qRin5pdYOdbB,IySsVMyKT3tF,FwEHNICjJCy0,yISIa0MMKKfB,GAtvbI59wr0o,OmNM6rT0Sgul,gu1MSKhYvigU,S2TTo9DhhiSh,aaLV7ZjAfkcR,ker4pIJmdvxf,WaQEaQCVMQ03,xV97BFGi0hY9,YnM1HtHE4j7G,X5FyJb4ToTo6,jLmadlzMdunT,GGFwFLsDF9Fv,prtR0Uw1GMh5,oNamnshN4dFG,QZzQeAYvsoum,VHAt7CcYKC2T,cKsTbNGL... |
angr/angr | angr/analyses/cfg/cfg_fast_soot.py | CFGFastSoot.make_functions | def make_functions(self):
"""
Revisit the entire control flow graph, create Function instances accordingly, and correctly put blocks into
each function.
Although Function objects are crated during the CFG recovery, they are neither sound nor accurate. With a
pre-constructed CFG,... | python | def make_functions(self):
"""
Revisit the entire control flow graph, create Function instances accordingly, and correctly put blocks into
each function.
Although Function objects are crated during the CFG recovery, they are neither sound nor accurate. With a
pre-constructed CFG,... | [
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angr/angr | angr/engines/soot/values/thisref.py | SimSootValue_ThisRef.set_field | def set_field(self, state, field_name, field_type, value):
"""
Sets an instance field.
"""
field_ref = SimSootValue_InstanceFieldRef.get_ref(state=state,
obj_alloc_id=self.heap_alloc_id,
... | python | def set_field(self, state, field_name, field_type, value):
"""
Sets an instance field.
"""
field_ref = SimSootValue_InstanceFieldRef.get_ref(state=state,
obj_alloc_id=self.heap_alloc_id,
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angr/angr | angr/engines/soot/values/thisref.py | SimSootValue_ThisRef.get_field | def get_field(self, state, field_name, field_type):
"""
Gets the value of an instance field.
"""
# get field reference
field_ref = SimSootValue_InstanceFieldRef.get_ref(state=state,
obj_alloc_id=self.heap_alloc_id,
... | python | def get_field(self, state, field_name, field_type):
"""
Gets the value of an instance field.
"""
# get field reference
field_ref = SimSootValue_InstanceFieldRef.get_ref(state=state,
obj_alloc_id=self.heap_alloc_id,
... | [
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angr/angr | angr/engines/soot/values/thisref.py | SimSootValue_ThisRef.store_field | def store_field(self, state, field_name, field_type, value):
"""
Store a field of a given object, without resolving hierachy
:param state: angr state where we want to allocate the object attribute
:type SimState
:param field_name: name of the attribute
:type str
... | python | def store_field(self, state, field_name, field_type, value):
"""
Store a field of a given object, without resolving hierachy
:param state: angr state where we want to allocate the object attribute
:type SimState
:param field_name: name of the attribute
:type str
... | [
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