python binding can't add label in mlil

Aperta
#7,708 1 commento 0 reazioni 0 assegnatari Vedi su GitHub

Nessuno ha ancora preso questa issue.

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

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()
Lingua principale
C++
Stelle
1.3k
Fork
298
Merge medio
5g 5h
PR unite (30g)
19

Guida per i contributori

Nessuna guida per i contributori indicizzata per questo repository

Come iniziare

  1. Leggi tutta la issue e poi la guida ai contributi del progetto.
  2. Commenta sulla issue per dire che te ne occupi tu — evita che due persone facciano lo stesso lavoro.
  3. Fai un fork del repository e lavora su un branch.
  4. Apri una pull request che faccia riferimento al numero della issue.

Altre issue di Vector35/binaryninja-api

Tutte le issue di Vector35/binaryninja-api

Issue simili

Altre issue su C++

Ricevi le nuove issue nella tua casella

Un breve riepilogo di issue GitHub adatte ai principianti.