api.reputation.v1.calculated package

Submodules

api.reputation.v1.calculated.calculated_domain module

Autogenerated API

api.reputation.v1.calculated.calculated_domain.calculate_reputation_for_domain(fqdn: str, json: bool = True, verify: bool = True, apiKey: str = '', authentication: dict = {}) → dict[source]

Look up the calculated reputation value for the given Domain (INTERNAL)

Return type:

dict

Parameters:

fqdn (str) – Domain to look up

Raises:
Returns:

{“offset”: 437, “limit”: 789, “responseCode”: 200, “count”: 433, “data”: [{“override”: true, “reason”: “Institution college everybody month worry character debate commercial.”, “value”: 48}], “metaData”: {“additionalProperties”: {}}, “messages”: [{“message”: “Total movement whole land fear seven campaign.”, “messageTemplate”: “Ten I type billion.”, “field”: “Personal hour yard defense analysis.”, “parameter”: {}, “timestamp”: 785964758}], “currentPage”: 487, “size”: 263}

api.reputation.v1.calculated.calculated_domain.calculate_reputation_for_i_p(ip: str, json: bool = True, verify: bool = True, apiKey: str = '', authentication: dict = {}) → dict[source]

Look up the calculated reputation value for the given IP (INTERNAL)

Return type:

dict

Parameters:

ip (str) – IP address to look up

Raises:
Returns:

{“offset”: 436, “limit”: 280, “responseCode”: 200, “count”: 829, “data”: [{“override”: true, “reason”: “Bit dog door choose no force central church.”, “value”: 533}], “metaData”: {“additionalProperties”: {}}, “messages”: [{“message”: “Detail TV final to easy education talk party.”, “messageTemplate”: “Culture action sport official like structure him.”, “field”: “Conference deep tree painting during appear authority mission.”, “parameter”: {}, “timestamp”: 1366085168}], “currentPage”: 795, “size”: 44}

api.reputation.v1.calculated.calculated_domain.find_address_reputation(limit: int = None, offset: int = None, includeFlags: int = None, excludeFlags: int = None, subCriteria: list = None, minimumValue: int = None, sourceID: list = None, fromAddress: str = None, afterAddress: str = None, addresses: list = None, includeDeleted: bool = 'False', exclude: bool = 'False', required: bool = 'False', json: bool = True, verify: bool = True, apiKey: str = '', authentication: dict = {}) → dict[source]

Search for calculated IP reputation values (INTERNAL)

Return type:

dict

Parameters:
  • limit (int) – Set this value to set max number of results. By default, no restriction on result set size.
  • offset (int) – Set this value to skip the first (offset) objects. By default, return result from first object.
  • includeFlags (int) – Only include objects which have includeFlags set.
  • excludeFlags (int) – Exclude objects which have excludeFlags set.
  • subCriteria (list) –
  • minimumValue (int) –
  • sourceID (list) –
  • fromAddress (str) –
  • afterAddress (str) –
  • addresses (list) – List of IP addresses
  • includeDeleted (bool) – Set to true to include deleted objects. By default, exclude deleted objects.
  • exclude (bool) – Only relevant for subcriteria. If set to true, objects matching this subcriteria object will be excluded.
  • required (bool) – Only relevant for subcriteria. If set to true, objects matching this subcriteria are required (AND-ed together with parent criteria).
Raises:
Returns:

{“offset”: 206, “limit”: 919, “responseCode”: 200, “count”: 979, “data”: [{“override”: true, “reason”: “Audience none actually through similar he improve office.”, “value”: 793}], “metaData”: {“additionalProperties”: {}}, “messages”: [{“message”: “Member fast nearly modern dark site.”, “messageTemplate”: “Analysis policy month rest reason deep.”, “field”: “Raise service foot.”, “parameter”: {}, “timestamp”: 814841100}], “currentPage”: 245, “size”: 682}

api.reputation.v1.calculated.calculated_domain.find_domain_reputation(limit: int = None, offset: int = None, includeFlags: int = None, excludeFlags: int = None, subCriteria: list = None, minimumValue: int = None, sourceID: list = None, fromDomainName: str = None, afterDomainName: str = None, domainNames: list = None, includeDeleted: bool = 'False', exclude: bool = 'False', required: bool = 'False', json: bool = True, verify: bool = True, apiKey: str = '', authentication: dict = {}) → dict[source]

Search for calculated domain reputation values (INTERNAL)

Return type:

dict

Parameters:
  • limit (int) – Set this value to set max number of results. By default, no restriction on result set size.
  • offset (int) – Set this value to skip the first (offset) objects. By default, return result from first object.
  • includeFlags (int) – Only include objects which have includeFlags set.
  • excludeFlags (int) – Exclude objects which have excludeFlags set.
  • subCriteria (list) –
  • minimumValue (int) –
  • sourceID (list) –
  • fromDomainName (str) –
  • afterDomainName (str) –
  • domainNames (list) – Full Qualified Domain Names
  • includeDeleted (bool) – Set to true to include deleted objects. By default, exclude deleted objects.
  • exclude (bool) – Only relevant for subcriteria. If set to true, objects matching this subcriteria object will be excluded.
  • required (bool) – Only relevant for subcriteria. If set to true, objects matching this subcriteria are required (AND-ed together with parent criteria).
Raises:
Returns:

{“offset”: 196, “limit”: 308, “responseCode”: 200, “count”: 679, “data”: [{“override”: false, “reason”: “Model science as professor prepare daughter send bad.”, “value”: 938}], “metaData”: {“additionalProperties”: {}}, “messages”: [{“message”: “What speak sound least test near knowledge.”, “messageTemplate”: “Help according cultural song.”, “field”: “Hold green yet standard.”, “parameter”: {}, “timestamp”: 1495982312}], “currentPage”: 183, “size”: 812}

api.reputation.v1.calculated.calculated_domain.list_address_reputation(fromAddress: str = None, afterAddress: str = None, sourceID: int = None, minimumValue: int = None, limit: int = 25, offset: int = 0, json: bool = True, verify: bool = True, apiKey: str = '', authentication: dict = {}) → dict[source]

List up calculated IP reputation values (INTERNAL)

Return type:

dict

Parameters:
  • fromAddress (str) – List observed domains after this domain, including (sorted by reverse domain)
  • afterAddress (str) – List observed domains after this domain, excluding (sorted by reverse domain)
  • sourceID (int) – Limit to domains observed in this source
  • minimumValue (int) – Limit to domains which have a reputation score at lease this large
  • limit (int) – Limit output
  • offset (int) – Offset result
Raises:
Returns:

{“offset”: 621, “limit”: 30, “responseCode”: 200, “count”: 175, “data”: [{“override”: false, “reason”: “Lawyer share positive time law southern.”, “value”: 347}], “metaData”: {“additionalProperties”: {}}, “messages”: [{“message”: “Ever fear threat government place wait most.”, “messageTemplate”: “Drug entire spend reality travel line.”, “field”: “Almost kid chair Mrs lawyer while close.”, “parameter”: {}, “timestamp”: 1300657304}], “currentPage”: 903, “size”: 692}

api.reputation.v1.calculated.calculated_domain.list_domain_reputation(fromDomain: str = None, afterDomain: str = None, sourceID: int = None, minimumValue: int = None, limit: int = 25, offset: int = 0, json: bool = True, verify: bool = True, apiKey: str = '', authentication: dict = {}) → dict[source]

List up calculated domain reputation values (INTERNAL)

Return type:

dict

Parameters:
  • fromDomain (str) – List observed domains after this domain, including (sorted by reverse domain)
  • afterDomain (str) – List observed domains after this domain, excluding (sorted by reverse domain)
  • sourceID (int) – Limit to domains observed in this source
  • minimumValue (int) – Limit to domains which have a reputation score at lease this large
  • limit (int) – Limit output
  • offset (int) – Offset result
Raises:
Returns:

{“offset”: 383, “limit”: 393, “responseCode”: 200, “count”: 894, “data”: [{“override”: false, “reason”: “Believe explain table man strong offer.”, “value”: 796}], “metaData”: {“additionalProperties”: {}}, “messages”: [{“message”: “Culture yeah teach behind pick million.”, “messageTemplate”: “Traditional attention something money on high usually.”, “field”: “Expect fire provide training.”, “parameter”: {}, “timestamp”: 521124238}], “currentPage”: 432, “size”: 821}

Module contents