| Name |
Type |
Description |
Notes |
| access |
AnalysisAccessBody |
|
|
| analysis_id |
int |
|
|
| analysis_scope |
str |
|
|
| architecture |
str |
|
|
| auto_run_agents |
AutoRunAgentsBody |
|
|
| binary_dynamic |
bool |
|
|
| binary_format |
str |
|
|
| binary_name |
str |
|
|
| binary_size |
int |
|
|
| binary_type |
str |
|
|
| capability_count |
int |
Number of capabilities in the latest capabilities agent result. Null when the agent has not produced a result |
|
| creation |
str |
|
|
| dashboard_url |
str |
URL to view this analysis in the dashboard |
|
| debug |
bool |
|
|
| model_name |
str |
|
|
| requested_config |
RequestedConfigBody |
Snapshot of the configuration the analysis was submitted with |
|
| security_finding_count |
int |
Number of HIGH or CRITICAL findings in the latest security scan. Null when the scan has not produced a result |
|
| sha_256_hash |
str |
|
|
| threat_score |
float |
Software threat score from the latest triage result, from 0 to 1. Null when triage has not produced a result |
|
from revengai.models.analysis_detail_output_body import AnalysisDetailOutputBody
# TODO update the JSON string below
json = "{}"
# create an instance of AnalysisDetailOutputBody from a JSON string
analysis_detail_output_body_instance = AnalysisDetailOutputBody.from_json(json)
# print the JSON string representation of the object
print(AnalysisDetailOutputBody.to_json())
# convert the object into a dict
analysis_detail_output_body_dict = analysis_detail_output_body_instance.to_dict()
# create an instance of AnalysisDetailOutputBody from a dict
analysis_detail_output_body_from_dict = AnalysisDetailOutputBody.from_dict(analysis_detail_output_body_dict)
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