python binding can't add label in mlil
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Valutazione
- Difficoltà
- 4/5
- Tempo stimato
- 3-5 giorni
- Idoneità per principianti
- 35/100
- Tipo di issue
- Funzionalità
- Chiarezza
- Abbastanza chiara
- Stato di attività
- Ferma
- Stack tecnologico
- python
- Ambito
- reverse-engineering
Direzione di ricerca
Start by locating the existing Python binding for llil.add_label_for_address and the MLIL label entry points used in the example, including MediumLevelILLabel and MediumLevelILFunction. Determine where an equivalent MLIL API belongs and verify that the shown workflow can create labels and replace the indirect jump with if_expr without failing.
Scritto dal modello di indicizzazione a partire dal testo della issue.
Descrizione
What is the feature you'd like to have?
add python workflow api to add label in mlil like llil.add_label_for_address
Is your feature request related to a problem?
when solve indirect branch jump, its suppose to use mlil data flow analyze to calculate possible dest and replace 'jump' MLIL to 'if' MLIL , so a easy way to create label in mlil is necessary
Are any alternative solutions acceptable?
i have not found yet
Additional Information:
my code here ,can't work and i can't find a solution
import json
from binaryninja import(
Workflow,
AnalysisContext,
Variable,
Activity,
MediumLevelILFunction,
MediumLevelILConstPtr,
MediumLevelILConstData,
MediumLevelILConst,
MediumLevelILLoad,
MediumLevelILVar,
MediumLevelILAdd,
MediumLevelILSub,
MediumLevelILXor,
MediumLevelILMul,
MediumLevelILJump,
PossibleValueSet,
RegisterValueType,
MediumLevelILLabel,
LowLevelILLabel,
)
mlil_const=MediumLevelILConstPtr | MediumLevelILConstData | MediumLevelILConst
def search_var_def(var:Variable,mlil:MediumLevelILFunction,cond):
var_def=mlil.get_var_definitions(var)
# print(hex(var_def[0].address))
if len(var_def)==1 and isinstance(var_def[0].src,mlil_const):
print("def==1",var_def)
return
if (len(var_def)==2):
# print(var_def)
if isinstance(var_def[0].src,mlil_const) and isinstance(var_def[1].src,mlil_const):
if cond["value"]==None:
for key in var_def[0].branch_dependence.keys():
cond["value"]=mlil[key].condition.expr_index
break
return {var:{"t":var_def[0].src.value.value,"f":var_def[1].src.value.value}}
return
if len(var_def)>2:
print("def>2",var_def)
return None
var_def=var_def[0]
var_def_src=var_def.src
# print(var_def_src)
if isinstance(var_def_src,mlil_const):
print("const:",var_def_src)
return
if isinstance(var_def_src,MediumLevelILLoad):
# print("load:",var_def_src.operands)
table=var_def.get_possible_reg_values_after(var_def.dest.storage)
# print(table.mapping)
var_def_token=list(var_def_src.traverse(lambda x: x))
for token in var_def_token:
if isinstance(token,MediumLevelILVar):
mp=search_var_def(token.var,mlil,cond)
if mp==None:
return
# print(table,var_def,var_def.dest.storage)
if (table.type==RegisterValueType.UndeterminedValue):
print("undetermined table,check data section")
return
# print(mp,table.mapping)
try:
return {var:{"t":table.mapping[mp[token.var]["t"]],"f":table.mapping[mp[token.var]["f"]]}}
except KeyError:
return {var:{"t":table.mapping[mp[token.var]["t"]//8],"f":table.mapping[mp[token.var]["f"]//8]}}
return
Lvalue=search_var_def(var_def_src.left.var,mlil,cond)
Rvalue=search_var_def(var_def_src.right.var,mlil,cond)
tmp=Lvalue|Rvalue
if isinstance(var_def_src,MediumLevelILAdd):
Tvalue=tmp[var_def_src.left.var]["t"]+tmp[var_def_src.right.var]["t"]
Fvalue=tmp[var_def_src.left.var]["f"]+tmp[var_def_src.right.var]["f"]
return {var:{"t":Tvalue,"f":Fvalue}}
elif isinstance(var_def_src,MediumLevelILSub):
Tvalue=tmp[var_def_src.left.var]["t"]-tmp[var_def_src.right.var]["t"]
Fvalue=tmp[var_def_src.left.var]["f"]-tmp[var_def_src.right.var]["f"]
return {var:{"t":Tvalue,"f":Fvalue}}
elif isinstance(var_def_src,MediumLevelILXor):
Tvalue=tmp[var_def_src.left.var]["t"]^tmp[var_def_src.right.var]["t"]
Fvalue=tmp[var_def_src.left.var]["f"]^tmp[var_def_src.right.var]["f"]
return {var:{"t":Tvalue,"f":Fvalue}}
elif isinstance(var_def_src,MediumLevelILMul):
Tvalue=tmp[var_def_src.left.var]["t"]*tmp[var_def_src.right.var]["t"]
Fvalue=tmp[var_def_src.left.var]["f"]*tmp[var_def_src.right.var]["f"]
return {var:{"t":Tvalue,"f":Fvalue}}
else:
print("Unsupported operation:",var_def_src)
return None
def handle_two_direct_indirect_jump(ctx:AnalysisContext):
bv=ctx.function.view
mlil=ctx.function.mlil
llil=ctx.function.llil
update=False
for instr in mlil.instructions:
if isinstance(instr,MediumLevelILJump) and isinstance(instr.dest,MediumLevelILVar):
# print(instr.get_possible_reg_values(instr.dest.var.storage))
if instr.get_possible_reg_values(instr.dest.var.storage).type==RegisterValueType.UndeterminedValue:
# print(instr.dest.var)
cond={"value":None}
res=search_var_def(instr.dest.var, mlil,cond)
# print(cond)
if res==None or cond["value"]==None:
raise RuntimeError("calc fail,check {}".format(hex(instr.address)))
ctx.function.set_user_indirect_branches(instr.address, [(ctx.function.arch,res[instr.dest.var]["t"]),(ctx.function.arch,res[instr.dest.var]["f"])],ctx.function.arch)
print(hex(res[instr.dest.var]["t"]),llil.get_instruction_start(res[instr.dest.var]["t"]))
print(hex(res[instr.dest.var]["f"]),llil.get_instruction_start(res[instr.dest.var]["f"]))
t_instr=llil[llil.get_instruction_start(res[instr.dest.var]["t"])].mapped_medium_level_il
f_instr=llil[llil.get_instruction_start(res[instr.dest.var]["f"])].mapped_medium_level_il
print(hex(res[instr.dest.var]["t"]),t_instr)
print(hex(res[instr.dest.var]["f"]),f_instr)
t_label=mlil.get_label_for_source_instruction(t_instr.instr_index)
f_label=mlil.get_label_for_source_instruction(f_instr.instr_index)
print("set indirect jump at {} to {}:{},{}:{}".format(hex(instr.address),hex(res[instr.dest.var]["t"]),t_label,hex(res[instr.dest.var]["f"]),f_label))
if_instr=mlil.if_expr(cond["value"],t_label,f_label,instr.source_location)
mlil.replace_expr(instr.expr_index,if_instr)
mlil.append(if_instr)
update=True
if update:
mlil.finalize()
mlil.generate_ssa_form()
wf=Workflow("").clone("satori.function.deobf")
wf.register_activity(Activity(configuration=json.dumps({
"name":"satori.function.handle_two_direct_indirect_jump.activity",
"title":"handle_two_direct_indirect_jump",
"description":"handle_two_direct_indirect_jump",
"eligibility":{
"auto":{
"default":True
}
}
}),action=lambda context: handle_two_direct_indirect_jump(context)))
wf.insert("core.function.generateHighLevelIL",["satori.function.handle_two_direct_indirect_jump.activity"])
wf.register()
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