Insiders: The Threat is Already Within
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1 Insiders: The Threat is Already Within Shiri Margel & Itsik Mantin June 2016
2 About us Shiri Margel Itsik Mantin Data Security Research Team Leader Director of Security Research M. Sc. in Applied Math and Computer Science from the Weizmann Institute M. Sc. in Applied Math and Computer Science from the Weizmann Institute
3 Agenda Introduction Behavioral Analysis Deception Summary
4 People are the WEAK LINK
5 Compromised Careless Malicious
6 The Nature of Insider Breach Acquire small amount of sensitive information over a long period of time Noticed after damaging events Almost impossible to prevent Early Detection Verizon DBIR 2016
7 Our Research Behavioral Analysis Deception
8 Our Research Behavioral Analysis Deception
9 The Data File Sensors Cloud App Sensors File Server Database Sensors Cloud Applications Databases The Perimeter
10 Our Research Behavioral Analysis Collect live production data from several customers of Imperva Full database and file server audit trail - SecureSphere audit logs Machine learning algorithms identify Actors and Good Behavior in order to identify Meaningful Anomalies
11 Actors
12 Good Behavior
13 Behavioral Analysis Findings Malicious Insider Negligent Insider Compromised Insider
14 Behavioral Analysis Findings Malicious Insider Hoarding IP before leaving the company A DBA accessed financial information Negligent Insider Compromised Insider
15 Malicious Insider: Behavioral Analysis finds the IP Hoarder A Technical Writing employee copied > 100,000 files Employee was authorized to access data Operation took 3 weeks Each copy contained a few thousand files Some copies - in the middle of the night and/or on the weekend
16 Malicious Insider: Behavioral Analysis finds the IP Hoarder The employee / department never copied this amount of files The employee never worked on weekends / middle of the night Week days Weekend
17 Malicious Insider: Behavioral Analysis finds the IP Hoarder The employee / department never copied this amount of files The employee never worked on weekends / middle of the night Week days Weekend Employee was authorized to access data
18 Malicious Insider: Behavioral Analysis finds the IP Hoarder Organization Feedback: The employee was planning to leave the organization shortly after the incident took place
19 Behavioral Analysis Findings Malicious Insider Hoarding IP before leaving the company A DBA accessed financial information Negligent Insider Compromised Insider
20 Malicious Insider: Behavioral Analysis flags DBA abusing privileges Clients Application Database DBA Applicative Tables
21 Malicious Insider: Behavioral Analysis flags DBA abusing privileges Clients Application Database DBA Applicative Tables A DBA from IT retrieved and modified multiple records from PeopleSoft application tables on a specific day Didn t access these tables through the PeopleSoft interface bypassed PeopleSoft logging and retrieval limitations
22 Malicious Insider: Behavioral Analysis flags DBA abusing privileges Retrieved many records Compared to other users - Compared to himself -
23 Malicious Insider: Behavioral Analysis flags DBA abusing privileges Modified several thousands of records in one table The tables contained sensitive financial information
24 Malicious Insider: Behavioral Analysis flags DBA abusing privileges Modified several thousands of records in one table The tables contained sensitive financial information Should a DBA access financial information???
25 Malicious Insider: Behavioral Analysis flags DBA abusing privileges Organization Feedback: A DBA from IT should never be exposed to financial information Certainly not modify this information outside of application processes
26 Behavioral Analysis Findings Malicious Insider Negligent Insider Account Sharing Compromised Insider
27 Negligent Users: Behavioral Analysis flags Account Sharing Bypass organization permissions and privileges Provide people with access that they are not entitled to Leave incorrect access trail to the data Sharing is not caring! 2016 Imperva, 27 Inc. All rights reserved.
28 Negligent Users: Behavioral Analysis flags Account Sharing A and B share privileges C and D use B s account H uses the accounts of E, G J uses the accounts of G, I L uses the account of K
29 Behavioral Analysis Findings Malicious Insider Negligent Insider Compromised Insider Multiple failed login attempts
30 Compromised Users : How failed logins are flagged as anomalous Baseline period the user always successfully logs into DB1 using red account never logs into DB2 On the day of the incident the user tried and failed to log into DB2 11 times using 4 different account Succeeded using 5 th account
31 Behavioral Analysis - Summary
32 Behavioral Analysis - Summary We found interesting incidents for all insiders options It was hard to find them without behavioral analysis methods Used valid privileges Chose meaningful anomalies Concentrated on the actors and on their access to the data
33 Our Research Behavioral Analysis Deception
34 Deception Why? Because Compromise is Inevitable No Perimeter: BYOD, Cloud Apps, VPN Legitimate apps (TeamViewer, DropBox) Zero Days Social Engineering Find Data Breach within Compromises Compromises happen all the time few of them may turn into a breach! Response team have to prioritize 100 alerts << 1 alert Detect a breach ASAP Reconnaissance & Lateral Movement
35 Data Center Attack Cycle Files Compromise Reconnaissance Lateral Movement Data Access Exfiltration Web Apps Databases
36 Deception Tokens Point the attacker towards a Trap Web, File, DB Server (etc) Local / Domain Account Passwords, Cookies, Authentication Tokens Trap Server is Real Not a Honeypot Detection = Harvest + Use token Deliberate attempt at the data center / gain more privileges
37 Using Sensors for Deception File Sensors Cloud App Sensors File Server Database Sensors Cloud Applications Databases The Perimeter
38 Browser Passwords Where are autocomplete passwords saved? Are they safe?
39 Browser Passwords Return to Index
40 MimiKatz Pulling plaintext passwords from Windows Relies on Wdigest interface through LSASS Wdigest: a DLL used to authenticate users against HTTP Digest authentication and Simple Authentication Security Layer (SASL) exchanges. (un)fortunately, these require the plain-text password
41 MimiKatz Return to Index
42 Compromised User Scenario Trojan got through to the endpoint via phishing Planted credentials inside Windows Vault, Internet Explorer were used Determine the source and scope of the attack without tipping off the attacker
43
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