1. Amit Malik SecurityXploded Research Group Researcher @ FireEye Labs

2. The Content, Demonstration, Source Code and Programs presented here is "AS IS" without any warranty or conditions of any kind. Also the views/ideas/knowledge expressed here are solely mine and have nothing to do with the company or the organization in which i am currently working. However in no circumstances neither me nor SecurityXploded is responsible for any damage or loss caused due to use or misuse of the information presented here. (c) SecurityXploded Research Group 2

3.  Objective  Challenge  Theory  Properties of Call and RET  Analysis  Detection  Conclusion (c) SecurityXploded Research Group 3

4.  In defensive side of security we can define problems in two steps  Analysis  Detection  Analysis – Understanding of the subject  Detection – The Solution  Detection depends on Analysis (c) SecurityXploded Research Group 4

5.  At the top level the behavior of the malicious code can be divided into two parts:  Application execution hijacking  System interaction and manipulation  Application execution hijacking means deviation from the normal execution path.  System interaction and manipulation means using the system for malicious activities. (c) SecurityXploded Research Group 5

6.  Classic examples:  Exploits  Under normal circumstances (yes normal ) in execution hijacking the execution will be transferred temporarily or permanently to stack or heap.  After that the malicious code will always interact with the system (eg: file system, Network, Processes etc.)  *Normal hooks with code/DLL injection also comes under execution hijacking but they are more part of system interaction so in execution hijacking I am explicitly talking about the exploits. (c) SecurityXploded Research Group 6

7.  Classic Examples:  Malware binaries  In this case the binaries or the code compromise the state of the system.  The scope here is the entire system so few things are difficult (e.g.: detection). (c) SecurityXploded Research Group 7

8.  The fundamental questions:  Why a specific event/activity is happening in the system?  Who started the event/activity.  These questions in-fact are one of most difficult problems and at a ground level even bigger than the software security problem.  A very thin solution is try to identify the origin of the event/activity.  In our case our focus is on API calls so if the API calls are the medium to interact with the system then we need to identify the origin of the API calls.  It means that the return address is one of the most important pointer of the entire execution cycle. (c) SecurityXploded Research Group 8

9.  CALL ins:  Push the address of the next instruction on to the stack i.e Return Address  Jump on to the destination address  RET ins:  Take the address from the current value of ESP (Return Address) and load it into the EIP.  The important point here is that the CALL and RET may be in a relation or may not be in a relation but the return address will always be on the stack [per ESP] so at any point of time if we hit above ins then we can get the return address from stack [per ESP]. (c) SecurityXploded Research Group 9

10.  Fundamentally Tracing is an approach to track the execution of the code.  Roughly we can divide tracing in three parts: 1. Instruction level tracing i.e every instruction logging 2. Function and API level tracing i.e function and API call logging 3. API level tracing i.e only API call logging  #2 and #3 are of our point of interest.  But how we can log this information?  Hooking  Breakpoints  Hooking is a clean approach but we need at least 5 bytes at the target location on the other hand breakpoint is silly approach but we just need 1 byte. (c) SecurityXploded Research Group 10

11.  Configuration-1: API calls Tracing  Configuration-2: Function and API call tracing  Configuration-1 is suitable for both analysis and detection.  Configuration-2 is good for analysis. Configuration-2 is also very useful for the analysis of normal applications. (c) SecurityXploded Research Group 11

12.  Application execution hijacking:  Configuration-1: API calls from heap or stack, basically calls from a non-image mapped memory region indicates the hijacking of the execution.  Configurations-2: Function and API call tracing can provide in-depth look into the execution cycle and possible locations for execution deviation. (c) SecurityXploded Research Group 12

13.  System Interaction and Manipulation  Configuration-1:Based on the API calls and their return addresses following information can be easily identified: ▪ Unpacked/run time generated/injected code in memory ▪ Interesting code segments  My tool Malpimp is based on the same philosophy. (c) SecurityXploded Research Group 13

14.  Benign File: (c) SecurityXploded Research Group 14

15.  Malicious Files: (c) SecurityXploded Research Group 15

16.  Execution Hijacking:  Relatively easy* in comparison to malware binaries.  In reality we have only two chances to detect this behavior from an external tool or app.  Bypass of DEP  Execution of shellcode  As mentioned in the theory we need to identify the origin of the API calls and if the API calls are from a non-Image mapped memory region then we have some serious problems.  Practically speaking it is possible to make an exploit that is nearly impossible to detect using an external tool because we have only two chances to catch the abnormal execution.  The checks for rop detection, heap spray, etc. are basically assumptions they are not organic detection mechanisms. It all depends on the API call. (c) SecurityXploded Research Group 16

17.  System interaction and Manipulation:  The stages of unpacking/run time generated code can be easily identified.  Unpacking alone can not be really a detection mechanism.  Abnormal behavior can be identified: ▪ Unpacking stages ▪ Some other events like (code injection etc.) (c) SecurityXploded Research Group 17

18.  Return address is the invaluable pointer of the execution cycle.  With the right implementation we can greatly improve the tasks related to analysis and detection. Thank You! (c) SecurityXploded Research Group 18