AutoUnstripRequest.md

AutoUnstripRequest

Properties

Name	Type	Description	Notes
min_similarity	float	Minimum similarity expected for a match as a percentage, default is 90	[optional] [default to 90]
apply	bool	Whether to apply the matched function names to the target binary, default is False	[optional] [default to False]
confidence_threshold	float	Confidence threshold for applying function names as a percentage, default is 90	[optional] [default to 90]
min_group_size	int	Minimum number of matching functions required to consider for a match, default is 10	[optional] [default to 10]
status_only	bool	If set to true, only returns the status of the auto-unstrip operation without the actual results	[optional] [default to False]
no_cache	bool	If set to true, forces the system to bypass any cached results and perform a fresh computation	[optional] [default to False]
use_canonical_names	bool	Whether to use canonical function names during matching for auto-unstrip, default is False	[optional] [default to False]

Example

from revengai.models.auto_unstrip_request import AutoUnstripRequest

# TODO update the JSON string below
json = "{}"
# create an instance of AutoUnstripRequest from a JSON string
auto_unstrip_request_instance = AutoUnstripRequest.from_json(json)
# print the JSON string representation of the object
print(AutoUnstripRequest.to_json())

# convert the object into a dict
auto_unstrip_request_dict = auto_unstrip_request_instance.to_dict()
# create an instance of AutoUnstripRequest from a dict
auto_unstrip_request_from_dict = AutoUnstripRequest.from_dict(auto_unstrip_request_dict)

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