Indicator Summary¶
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class
trustar.models.indicator_summary.
IndicatorSummary
(value=None, indicator_type=None, report_id=None, enclave_id=None, source=None, score=None, created=None, updated=None, description=None, attributes=None, severity_level=None)¶ Models an IndicatorSummary. This represents a normalized summary of common properties extracted from the body of a report, from an intelligence source, that gives details about a specific indicator.
The score field will only be populated if the source contained information that can be interpreted as a type of score. The attributes field is a list of IndicatorAttribute objects for fields that are specific to this source.
Variables: - value (str) – The indicator’s value.
- indicator_type (IndicatorType) – The indicator’s type.
- report_id (str) – The ID of the report for this summary.
- enclave_id (str) – The ID of the report’s enclave.
- source (IntelligenceSource) – An object containing information about the source that the report came from.
- score (IndicatorScore) – The score of the report, according to the source.
- created (int) – The created or first seen timestamp of the indicator, according to the source.
- updated (int) – The updated or last seen timestamp of the indicator, according to the source.
- description (str) – The description of the indicator, according to the source.
- attributes (list(Attribute)) – A list of attributes about the indicator, according to the source.
- severity_level (str) – a normalized representation of the score from this source (if one exists). This is an integer between 0 and 3, with 0 being the lowest score and 3 being the highest.
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classmethod
from_dict
(indicator_summary)¶ Create an IndicatorSummary object from a dictionary.
Parameters: indicator_summary – The dictionary. Returns: The IndicatorSummary object.
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to_dict
(remove_nones=False)¶ Creates a dictionary representation of the indicator summary.
Parameters: remove_nones – Whether None
values should be filtered out of the dictionary. Defaults toFalse
.Returns: A dictionary representation of the indicator summary.
Indicator Score¶
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class
trustar.models.indicator_summary.
IndicatorScore
(name=None, value=None)¶ Models a IndicatorScore.
Variables: - name (str) – The name of the score type, e.g. “Risk Score” or “Malicious Confidence”
- value (str) – The value of the score, as directly extracted from the source.
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classmethod
from_dict
(indicator_score)¶ Create an IndicatorScore object from a dictionary.
Parameters: indicator_score – The dictionary. Returns: The IndicatorScore object.
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to_dict
(remove_nones=False)¶ Creates a dictionary representation of the indicator score.
Parameters: remove_nones – Whether None
values should be filtered out of the dictionary. Defaults toFalse
.Returns: A dictionary representation of the indicator score.
Indicator Attribute¶
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class
trustar.models.indicator_summary.
IndicatorAttribute
(name=None, value=None, logical_type=None, description=None)¶ Models a IndicatorAttribute. This is an attribute of an indicator, according to an intelligence source.
Variables: - name (str) – The name of the attribute, e.g. “Actors” or “Malware Families”
- value (any) – The value of the attribute, e.g. “North Korea” or “Emotet”
- logical_type (str) – Describes how to interpret the
value
field, e.g. could be “timestamp” ifvalue
is an integer - description (str) – A description of how to interpret this attribute. This corresponds to the attribute name, i.e. this will be the same for all attributes in a source with the same name.
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classmethod
from_dict
(indicator_attribute)¶ Create an IndicatorAttribute object from a dictionary.
Parameters: indicator_attribute – The dictionary. Returns: The IndicatorAttribute object.
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to_dict
(remove_nones=False)¶ Creates a dictionary representation of the indicator attribute.
Parameters: remove_nones – Whether None
values should be filtered out of the dictionary. Defaults toFalse
.Returns: A dictionary representation of the indicator attribute.