Beispielereignisnachricht für Snowflake

Die folgenden Beispielereignisse stammen aus der Snowflake -Datenbank, wenn Sie das Protokoll JDBC verwenden.

Ereignis 'Anmeldeverlaufsansicht'

In der folgenden Beispielereignisnachricht gibt das Ereignis die Ergebnisse einer Abfrage an, die die Anmeldeversuchsdetails der Snowflake -Benutzer zurückgibt.

EVENT_ID: "1111111111111111xx" EVENT_TIMESTAMP: "2024-03-26 16:24:57.936" 
EVENT_TYPE: "LOGIN" USER_NAME: "TEST" CLIENT_IP: "10.0.x.x" 
REPORTED_CLIENT_TYPE: "JDBC_DRIVER" REPORTED_CLIENT_VERSION: "3.14.x" 
FIRST_AUTHENTICATION_FACTOR: "PASSWORD" SECOND_AUTHENTICATION_FACTOR: "null" 
IS_SUCCESS: "YES" ERROR_CODE: "null" ERROR_MESSAGE: "null" RELATED_EVENT_ID: "0" CONNECTION: "null
Tabelle 1. Hervorgehobene Werte im Beispielereignis Snowflake: Anmeldeverlaufsansicht
QRadar Feldname Hervorgehobener Nutzdatenfeldname
Ereignis-ID EVENT_TYPE + IS_SUCCESS

[SUCCESS/(FAIL + FEHLERCODE)]

Wichtig: Wenn der Wert von IS_SUCCESS 'Ja' ist, hängt das System SUCCESSan, andernfalls FAIL mit ERROR_CODE.
Username USER_NAME
Quellen-IP CLIENT_IP
Einheitenzeit EVENT_TIMESTAMP

Ereignis 'Abfrageverlaufsansicht'

Die folgende Beispielereignisnachricht zeigt die Ergebnisse einer Snowflake -Abfrage nach verschiedenen Dimensionen (Zeitbereich, Sitzung, Benutzer, Warehouse usw.).

QUERY_ID: "11111111-1111-1111-1111-111111111111" QUERY_TEXT: "select max(SESSION_ID) from QUERY_HISTORY" 
DATABASE_ID: "1" DATABASE_NAME:"SNOWFLAKE" SCHEMA_ID: "3" SCHEMA_NAME: "ACCOUNT_USAGE" 
QUERY_TYPE: "SELECT" SESSION_ID: "1111111111111" USER_NAME: "TEST" ROLE_NAME:"ACCOUNTADMIN" 
WAREHOUSE_ID: "1" WAREHOUSE_NAME: "COMPUTE_WH" WAREHOUSE_SIZE: "X-Small" WAREHOUSE_TYPE: "STANDARD" 
CLUSTER_NUMBER:"1" QUERY_TAG: "" EXECUTION_STATUS: "SUCCESS" ERROR_CODE: "null" ERROR_MESSAGE: "null" 
START_TIME: "2024-04-03 11:41:36.358" END_TIME: "2024-04-03 11:41:36.95" TOTAL_ELAPSED_TIME: "592" 
BYTES_SCANNED: "35994112" PERCENTAGE_SCANNED_FROM_CACHE: "1.0" 
BYTES_WRITTEN: "0" BYTES_WRITTEN_TO_RESULT: "306" BYTES_READ_FROM_RESULT: "0" ROWS_PRODUCED: "1" 
ROWS_INSERTED: "0" ROWS_UPDATED: "0" ROWS_DELETED: "0" ROWS_UNLOADED: "0" BYTES_DELETED: "0" 
PARTITIONS_SCANNED: "33" PARTITIONS_TOTAL: "196285" BYTES_SPILLED_TO_LOCAL_STORAGE: "0"
BYTES_SPILLED_TO_REMOTE_STORAGE: "0" BYTES_SENT_OVER_THE_NETWORK: "0" COMPILATION_TIME: "437" 
EXECUTION_TIME: "155" QUEUED_PROVISIONING_TIME: "0" QUEUED_REPAIR_TIME: "0" QUEUED_OVERLOAD_TIME: "0" 
TRANSACTION_BLOCKED_TIME: "0" OUTBOUND_DATA_TRANSFER_CLOUD: "null" OUTBOUND_DATA_TRANSFER_REGION: "null" 
OUTBOUND_DATA_TRANSFER_BYTES: "0" INBOUND_DATA_TRANSFER_CLOUD: "null" INBOUND_DATA_TRANSFER_REGION: "null" 
INBOUND_DATA_TRANSFER_BYTES: "0" LIST_EXTERNAL_FILES_TIME: "0" CREDITS_USED_CLOUD_SERVICES: "6.7E-5" 
RELEASE_VERSION: "8.13.1" EXTERNAL_FUNCTION_TOTAL_INVOCATIONS: "0" EXTERNAL_FUNCTION_TOTAL_SENT_ROWS: "0" 
EXTERNAL_FUNCTION_TOTAL_RECEIVED_ROWS: "0" EXTERNAL_FUNCTION_TOTAL_SENT_BYTES: "0"
EXTERNAL_FUNCTION_TOTAL_RECEIVED_BYTES: "0" QUERY_LOAD_PERCENT: "100" IS_CLIENT_GENERATED_STATEMENT: "false"
QUERY_ACCELERATION_BYTES_SCANNED: "0" QUERY_ACCELERATION_PARTITIONS_SCANNED: "0" 
QUERY_ACCELERATION_UPPER_LIMIT_SCALE_FACTOR: "0" TRANSACTION_ID: "0" CHILD_QUERIES_WAIT_TIME: "0" 
ROLE_TYPE: "ROLE" QUERY_HASH: "11111111111111111111111111111111" QUERY_HASH_VERSION:"2" 
QUERY_PARAMETERIZED_HASH: "11111111111111111111111111111111" QUERY_PARAMETERIZED_HASH_VERSION: "1" 
SECONDARY_ROLE_STATS:"{"roleNames":[],"roleCount":0,"roleIds":[]}" ROWS_WRITTEN_TO_RESULT: "1" 
QUERY_RETRY_TIME: "null" QUERY_RETRY_CAUSE: "null" FAULT_HANDLING_TIME:"null"
Tabelle 2. Hervorgehobene Werte im Beispielereignis Snowflake: Abfrageverlaufsansicht
QRadar Feldname Hervorgehobener Nutzdatenfeldname
Ereignis-ID QUERY_TYPE + EXECUTION_STATUS
Wichtig: Wenn der Status FAILlautet, hängen Sie ERROR_CODEan.
Username USER_NAME
Einheitenzeit START_TIME

Snowalert-Ereignis

Die folgende Beispielereignisnachricht zeigt den Schneealert für eine bestimmte Ansicht. Snowalert ist ein Sicherheitsanalyseframework, das die Snowflake Cloud Data Platform verwendet, um Sicherheitsvorfälle in verschiedenen Datenquellen und Zeiträumen zu identifizieren.

TABLE_CATALOG: "SNOWALERT" TABLE_SCHEMA: "DATA" TABLE_NAME: "DATA_CONNECTOR_RUN_ERRORS" 
TABLE_OWNER: "ACCOUNTADMIN"VIEW_DEFINITION: "CREATE OR REPLACE VIEW data.data_connector_run_errors COPY GRANTS AS SELECT day , 
COUNT(DISTINCT SUBSTR(exc, 0, 50)) ASnum_distinct_exceptions , 
SUM(IFF(exc IS NOT NULL, 1, 0)) AS num_errors FROM ( SELECT slice_start::DATE AS day FROM TABLE(data.time_slices_before_t(30,60*60*24)) ) d 
RIGHT OUTER JOIN ( SELECT v:START_TIME::DATE AS day , v:ERROR.EXCEPTION_ONLY AS exc FROM results.ingestion_metadata ) e 
USING(day) GROUP BY day ORDER BY day DESC ;" CHECK_OPTION: "NONE" IS_UPDATABLE: "NO" INSERTABLE_INTO: "NO" 
IS_SECURE: "NO" CREATED : "2024-02-2914:56:14.88" LAST_ALTERED: "2024-02-29 14:56:15.005" 
LAST_DDL: "2024-02-29 14:56:14.88" LAST_DDL_BY: "TEST" COMMENT: "Errors recorded during DCruns"
Tabelle 3. Hervorgehobene Werte im Beispielereignis Snowflake: Snowalert
QRadar Feldname Hervorgehobener Nutzdatenfeldname
Ereignis-ID TABLE_CATALOG + TABLE_NAME
Username LAST_DDL_BY