| Name |
Type |
Description |
Notes |
| analysis_id |
int |
Analysis ID |
|
| analysis_scope |
str |
Scope of the analysis |
|
| base_address |
int |
Binary base address |
|
| binary_id |
int |
Binary ID |
|
| binary_name |
str |
Binary filename |
|
| binary_size |
int |
Binary size in bytes |
|
| creation |
datetime |
When the analysis was created |
|
| function_boundaries_hash |
str |
Hash of the binary's provided function boundaries |
|
| is_owner |
bool |
True when the caller owns the analysis |
|
| model_id |
int |
Model ID |
|
| model_name |
str |
Model name |
|
| sha_256_hash |
str |
SHA-256 hash of the binary |
|
| status |
str |
Analysis status |
|
| tags |
List[AnalysisTagBody] |
Tags associated with the binary |
|
| username |
str |
Username of the analysis owner |
|
from revengai.models.analysis_record_body import AnalysisRecordBody
# TODO update the JSON string below
json = "{}"
# create an instance of AnalysisRecordBody from a JSON string
analysis_record_body_instance = AnalysisRecordBody.from_json(json)
# print the JSON string representation of the object
print(AnalysisRecordBody.to_json())
# convert the object into a dict
analysis_record_body_dict = analysis_record_body_instance.to_dict()
# create an instance of AnalysisRecordBody from a dict
analysis_record_body_from_dict = AnalysisRecordBody.from_dict(analysis_record_body_dict)
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