2. Over view  Why Oracle Forensic  California Breach security Act  Oracle Logical Structure  Oracle System Change Number  Oracle Data Block Structure  Oracle Memory Structure  Redo logs  Automatic Undo management  Flash back Queries  Recycle Bin  Finding Evidence of Data Theft in the Absence of Auditing  Conclusion

3. Why Oracle Forensic  Database servers hold critical and sensitive information  Database Security Breaches  In Jan 2007 TJX announced that they have suffered a database security breach with 4.5 million credit card information stolen  CardSystem Solution announce that 200,000 credit/debit information stolen

4. California Security Breach Information Act  Began on July 1 of 2003  government agencies and companies must notify customers if personal information maintained in computerized data files have been compromised by unauthorized access.  34 more states have passed similar legislation  The details of this law can be found at http://www.leginfo.ca.gov

5. Logical Structure  Specifies how the physical space of a database is used  consisting of tablespaces, segments,extents, and blocks

6. System change Number (SCN)  used by Oracle to keep track of changes made to the database server.  With each change the SCN is incremented.  The database's SMON background process keeps track of these SCNs and their timestamps in the SMON_SCN_TIME table.  SCN and its timestamp  whether a block of data has been changed  useful in those cases where there is an absence of other evidence

7. Database Block  Data is stored in tables and, at the file level, these tables are split across data blocks.  Each data block contains  A header  Located at bytes 9 to 12 of the data block header is a 4 byte SCN.  The SCN is updated each time the data block is written  the value of the SCN at the time of the last committed update insert or delete to occur on data in that block.  A row directory  The row directory contains a list of offsets pointing to each row of data  Flag indicating if the row is deleted or not  The data itself which is stored in rows

8. Block Structure

9. Memory Structure  An Oracle Instance:  Is a mean to access an Oracle database  Consists of memory and background process

10. Database Buffer cache  Stores copies of data blocks that have been retrieved from the datafiles

11. Redo log Buffer  Records all changes made to the database data blocks  Changes recorded within a redo log buffer are called redo entries  Redo entries contain information to reconstruct or redo changes

12. LGWR process  LGWR writes:  At commit  When one-third full  When there is 1 MB of redo  Every three seconds

13. Archiver Process (ARCn) Automatically archives online redo logs when ARCHIVELOG mode is set  Preserves the record of all changes made to the database

14. Redo Log Insert Entry

15. Automatic Undo Management  An undo tablespace is maintained  contains 10 undo segments.  Whenever a transaction takes place an image of the data before changes, is recorded in an undo segment  UPDATE  A copy of data before changes is stored  DELETE  A copy of the data that was deleted is stored  INSERT  The file number, row and slot is stored

16. Undo Segment Mangement To get a hex dump of undo segment  SQL> SELECT FILE_ID, BLOCKS FROM DBA_DATA_FILES WHERE TABLESPACE_NAME ='UNDOTBS1'; FILE_ID BLOCKS ---------- 2 4480  SQL> ALTER SYSTEM DUMP DATAFILE 2 BLOCK MIN 0 BLOCK MAX 4480;

17. Flash Back Queries  query data from an older version or snapshot of a given table  Data for flashback queries  undo data  and the redo logs  may not be available for long.  On a “quiet” system data may linger for a day or two but considerably less so in a “busy” system.  an incident responder or DBA gets there in “time” they will be able to quickly ascertain what an attacker may or may not have done.

18. Flash Back Query To find new objects that aren’t in the older version of database execute: SQL> SELECT NAME FROM SYS.OBJ$ MINUS SELECT NAME FROM SYS.OBJ$ AS OF TIMESTAMP(SYSDATE - INTERVAL '156' MINUTE); NAME ------------------------------ TESTTEST

19. Flashback Queries  To find recently dropped objects execute: SQL> SELECT NAME FROM SYS.OBJ$ AS OF TIMESTAMP(SYSDATE - INTERVAL '156' MINUTE) MINUS SELECT NAME FROM SYS.OBJ$; NAME ------------------------------ GET_DBA_FUNCTION

20. The Oracle Recycle Bin  Any dropped objects are moved to the Recycle Bin.  Recycle Bin is implemented as a table  RECYCLEBIN$ in the SYSTEM tablespace.  When a table is dropped  name of the table is changed in SYS.OBJ$  A row is inserted into the RECYCLEBIN$  original table name  the object ID  the owner  the time

21. Recycle Bin  The SQL below shows the relationship between a dropped object’s row data in SYS.OBJ$ and SYS.RECYCLEBIN$: SQL> SELECT DROPTIME, OBJ#, OWNER#, ORIGINAL_NAME FROM SYS.RECYCLEBIN$; DROPTIME OBJ# OWNER# ORIGINAL_NAME --------------------- -------- ------- -------------------- 2007-08-16 09:27:45 53137 104 FOOBAR SQL> SELECT MTIME, OBJ#, OWNER#, NAME FROM SYS.OBJ$ WHERE OBJ#=53137; MTIME OBJ# OWNER# NAME --------------------- -------- ------- ------------------ - 2007-08-16 09:27:46 53137 104 BIN$tjjNZzJ2RSWgPAOcVwnmQg==$0

22. Finding Evidence of Data Theft in the Absence of Auditing  when data is stolen, only a copy is taken and the original remains.  If an attacker breaks in and simply silently SELECTs some data, evidence can be found in tables used by  Cost-Based Optimizer  Fixed V$ views in the Shared Pool

23. Cost Base Optimizer (CBO)  Whenever a user executes a SQL query,  the server compiles the query into an execution plan.  Statistics about the CBO are recorded in COL_USAGE$ table  COL_USAGE$ table holds information  Which Tables used in the from clause  Which columns used in a WHERE clause  Which predicates such as equals, like, range

24. Cost Base Optimizer cont.. SQL> SELECT C.TIMESTAMP, O.NAME, C.INTCOL#, C.LIKE_PREDS FROM COL_USAGE$ C, OBJ$ O WHERE C.OBJ#=O.OBJ# AND C.LIKE_PREDS > 0; TIMESTAMP NAME INTCOL# LIKE_PREDS ------------------- -------------- ------- ---------- 2007-08-08 06:10:27 COL$ 6 1 2007-08-09 18:06:55 OBJ$ 4 2

25. V$ views in the Shared Pool  Maintained for performance purposes  Accessible to DBAs  Often contain evidence of attacks  Two of these views  V$SQL  V$DB_OBJECT_CACHE.

26. V$SQL views  The V$SQL view  Contains a list of recently executed queries  It is a circular buffer so as it fills up new information pushes out old information.  buffer can hold a large number of queries (7000).  can be cleared executing ‘ALTER SYSTEM FLUSH SHARED_POOL’.

27. V$DB_OBJECT_CACHE.  Contains details about objects in the library cache  if an object exists in the cache then it has probably been accessed recently  can contain snippets of recently executed queries  To access a list of recently accessed tables and procedures : SQL> SELECT OWNER, NAME FROM V$DB_OBJECT_CACHE WHERE NAMESPACE = 'TABLE/PROCEDURE' ORDER BY 1;  V$DB_OBJECT_CACHE view cannot be clear by an attacker

28. Oracle Forensic Tool  Orablock  To dump data from a "cold" Oracle data file  To locate "stale" data (deleted)  To dump SCNs for data blocks  no need to load up the data file in the database which would cause the data file to be modified  using orablock preserves the evidence.  http://www.databasesecurity.com/. http://www.databasesecurity.com/

29. Forensic Tool  Oracle LogMiner  part of Oracle Database  query  online redo log and  archived redo log

30. Oracle Forensic Book Oracle Forensics Oracle Security Best Practices Paul M. Wright

31. Summary  Evidence of an attack can found  SCN  Redo log file  Archive redo log file  Recycle Bin  Undo segment  Flash Back queries  Cost Base Optimizer  Views$ share pool

32. References  http://www.databasesecurity.com/dbsec/oracle- forensics-scns.pdf http://www.databasesecurity.com/dbsec/oracle- forensics-scns.pdf  http://www.databasesecurity.com/dbsec/oracle- forensics-6.pdfhttp://www.databasesecurity.com/dbsec/oracle- forensics-6.pdf  http://www.datagovernance.com/adl_data_laws_cal ifornia_security_breach_notifi.html http://www.datagovernance.com/adl_data_laws_cal ifornia_security_breach_notifi.html  http://www.databasesecurity.com/dbsec/OracleFore nsicsPt5.pdf http://www.databasesecurity.com/dbsec/OracleFore nsicsPt5.pdf  http://www.databasesecurity.com/dbsec/dissecting- the-redo-logs.pdfhttp://www.databasesecurity.com/dbsec/dissecting- the-redo-logs.pdf  http://www.databasesecurity.com/dbsec/Locating- Dropped-Objects.pdfhttp://www.databasesecurity.com/dbsec/Locating- Dropped-Objects.pdf

33. QUESTIONS ?