def create_model_thr(model_id):
db = DB()
model = db.get_model_by_id(model_id)
job = db.add(Job("Generating model " + model.name))
bin_path = os.path.join(FILE_UPLOAD_FOLDER, model.filename)
model_path = os.path.join(MODEL_FOLDER, model.filename)
diss_path = os.path.join(model_path, "diss")
map_path = os.path.join(model_path, "map.json")
model_file_path = os.path.join(model_path, "model")
os.system("mkdir {}".format(bin_path))
os.system("mkdir {}".format(model_path))
os.system("mkdir {}".format(diss_path))
os.system("unzip {} -d {} > /dev/null".format(bin_path + ".zip", bin_path))
bin_files = os.listdir(bin_path)
for i, binf in enumerate(bin_files):
db.job_add_log(
job.id, "Disassembling file {}/{}".format(len(bin_files), i + 1))
Disassembler(os.path.join(bin_path, binf)).disassemble_to_file(
os.path.join(diss_path,
str(i) + "-" + binf + ".json"))
db.job_add_log(job.id, "Creating map")
MapCreator(diss_path, map_path).create_map()
db.job_add_log(job.id, "Generating model")
ModelCreator(diss_path, map_path, model_file_path).create_model()
db.job_add_log(job.id, "Model generated")
db.set_model_analyzed(model.id)
db.job_add_log(job.id, "Cleaning up the file mess")
os.system("rm {}".format(bin_path + ".zip"))
os.system("rm -rf {}".format(bin_path))
db.set_job_ended(job.id)
def get_model(model_id):
try:
db = DB()
model = db.get_model_by_id(model_id)
if model:
return jsonify({"model": model.serialize()}), 200
else:
return jsonify({"error": "Model not found"}), 400
except Exception as e:
print(e)
abort(500)
def get_results(binary_id):
db = DB()
res = []
binary = db.get_binary_by_id(binary_id)
results = db.get_results_by_binary_id(binary.id)
if len(results) != 0:
results = parse_results(results)
for r in results:
m = db.get_model_by_id(r.model)
res.append({"model": m.name, "score": str(int(r.score))})
return res
def train_model_thr(model_id, bin_path):
db = DB()
model = db.get_model_by_id(model_id)
model_path = os.path.join(MODEL_FOLDER, model.filename)
diss_path = os.path.join(model_path, "diss")
map_path = os.path.join(model_path, "map.json")
model_file_path = os.path.join(model_path, "model")
bin_files = os.listdir(bin_path)
for i, binf in enumerate(bin_files):
Disassembler(os.path.join(bin_path, binf)).disassemble_to_file(
os.path.join(diss_path,
str(i) + "-" + binf + ".json"))
ModelCreator(diss_path, map_path, model_file_path).train_model()
def upload_model_file(model_id):
try:
db = DB()
model = db.get_model_by_id(model_id)
if not model:
return jsonify({"error": "Model not found"}), 400
file = request.files['file']
if file and file.filename:
file.save(os.path.join(FILE_UPLOAD_FOLDER,
model.filename + ".zip"))
hm.create_model(model.id)
return jsonify({}), 200
except Exception as e:
print(e)
abort(500)
def get_results(binary_id):
try:
db = DB()
rt = []
binary = db.get_binary_by_id(binary_id)
results = db.get_results_by_binary_id(binary.id)
if len(results) != 0:
results = parse_results(results)
for r in results:
m = db.get_model_by_id(r.model)
rt.append({"model": m.name, "score": str(int(r.score))})
return jsonify({"results": rt, "analyzed": binary.analyzed}), 200
except Exception as e:
print(e)
abort(500)