| Name |
Type |
Description |
Notes |
| analysis_id |
int |
ID to identify analysis |
|
| analysis_scope |
str |
Scope of the analysis |
|
| binary_id |
int |
ID to identify the binary analyse |
|
| model_id |
int |
ID to identify the model used for analysis |
|
| model_name |
str |
Name of the model used for analysis |
|
| status |
str |
The current status of analysis |
|
| creation |
datetime |
The datetime of when the analysis was created |
|
| is_owner |
bool |
Whether the current user is the owner of a binary |
|
| binary_name |
str |
The name of the file uploaded |
|
| sha_256_hash |
str |
The hash of the binary |
|
| function_boundaries_hash |
str |
The hash of the function boundaries |
|
| binary_size |
int |
The size of the binary |
|
| username |
str |
The username of the analysis owner |
|
| dynamic_execution_status |
DynamicExecutionStatus |
|
[optional] |
| dynamic_execution_task_id |
int |
|
[optional] |
| base_address |
int |
The base address of the binary |
|
| tags |
List[TagItem] |
List of tags associated with the analysis |
[optional] |
from revengai.models.analysis_record import AnalysisRecord
# TODO update the JSON string below
json = "{}"
# create an instance of AnalysisRecord from a JSON string
analysis_record_instance = AnalysisRecord.from_json(json)
# print the JSON string representation of the object
print(AnalysisRecord.to_json())
# convert the object into a dict
analysis_record_dict = analysis_record_instance.to_dict()
# create an instance of AnalysisRecord from a dict
analysis_record_from_dict = AnalysisRecord.from_dict(analysis_record_dict)
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