Main idea. Demonstrate how malware can increase its robustness against detection by taking advantage of the ubiquitous Graphics Processing Unit (GPU)
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1 -Assisted Malware Giorgos Vasiliadis Michalis Polychronakis Sotiris Ioannidis ICS-FORTH, Greece Columbia University, USA ICS-FORTH, Greece
2 Main idea Demonstrate how malware can increase its robustness against detection by taking advantage of the ubiquitous Graphics Processing Unit ()
3 Outline Introduction Proof-of-concept implementation Future attacks Conclusions
4 INTRODUCTION
5 Malware evasion Malware continually seek new methods for hiding their malicious activity, Packing Polymorphism as well as, hinder reverse engineering and code analysis Code obfuscation Anti-debugging tricks
6 Countermeasures Signature-based antivirus scanners Disk and memory scanning Static/dynamic code analysis PolyUnpack [15], OmniUnpack[11] System emulation Renovo[9] Unfortunately, malware defense and analysis mechanisms focus on IA-32 code
7 = Graphics Processing Unit Dominant co-processor in home personal computers The heart of graphics cards Traditionally, used for handling 3D graphics rendering Over the years, s have been constantly evolving
8 General-purpose Powerful computation unit General-purpose code execution Specialized APIs exposing several hardware features Fully cooperate with DMA over main memory Portable code No need to install any files No administrator privileges
9 Malware + =? Is it possible for a malware to exploit the rich functionality of modern s? Powered Malware [Reynaud 08]
10 This work Design and implementation of code armoring techniques based on code Self-unpacking Run-time polymorphism
11 SELF-UNPACKING
12 Basic design malware.exe code code code
13 Execution example (1/7) (1)
14 Execution example (2/7)
15 Execution example (3/7)
16 (4) Execution example (4/7) 4. invoke
17 (4) Execution example (5/7) 4. invoke 5. unpack malicious code
18 Execution example (5/7) 4. invoke 5. unpack malicious code
19 Execution example (6/7) (6) 4. invoke 5. unpack malicious code 6. return
20 Execution example (7/7) (7) (6) 4. invoke 5. unpack malicious code 6. return 7. exec malicious code
21 (4) Big Picture (7) (6) 4. invoke 5. unpack malicious code 6. return 7. exec malicious code
22 Self-unpacking: Strengths Exposes minimal x86 code footprint Current analysis and unpacking systems cannot handle code Cannot run on virtual-machines can use extremely complex encryption schemes
23 Self-unpacking: Weaknesses Malware code lies unencrypted in main memory after unpacking Can be detected by dumping the memory Can we do better?
24 RUN-TIME POLYMORPHISM
25 Execution example (1/19) (1)
26 Execution example (2/19)
27 Execution example (3/19)
28 Execution example (4/19) (4) 4. control
29 (5) Execution example (5/19) (4) 4. control 5. invoke
30 (5) Execution example (6/19) 4. control 5. invoke 6. unpack code segment
31 Execution example (6/19) 4. control 5. invoke 6. unpack code segment
32 Execution example (7/19) (7) 4. control 5. invoke 6. unpack code segment 7. return
33 Execution example (8/19) (8) (7) 4. control 5. invoke 6. unpack code segment 7. return 8. exec malicious code
34 (9) Execution example (9/19) (8) 4. control 5. invoke 6. unpack code segment 7. return 8. exec malicious code 9. invoke
35 (9) Execution example (10/19) 4. control 5. invoke 6. unpack code segment 7. return 8. exec malicious code 9. invoke 10. pack code
36 Execution example (10/19) 4. control 5. invoke 6. unpack code segment 7. return 8. exec malicious code 9. invoke 10. pack code
37 Execution example (11/19) (11) 4. control 5. invoke 6. unpack code segment 7. return 8. exec malicious code 9. invoke 10. pack code 11. return
38 Execution example (12/19) (4) (11) 4. control 5. invoke 6. unpack code segment 7. return 8. exec malicious code 9. invoke 10. pack code 11. return
39 (5) Execution example (13/19) (4) 4. control 5. invoke 6. unpack code segment 7. return 8. exec malicious code 9. invoke 10. pack code 11. return
40 (5) Execution example (14/19) 4. control 5. invoke 6. unpack code segment 7. return 8. exec malicious code 9. invoke 10. pack code 11. return
41 Execution example (14/19) 4. control 5. invoke 6. unpack code segment 7. return 8. exec malicious code 9. invoke 10. pack code 11. return
42 Execution example (15/19) (7) 4. control 5. invoke 6. unpack code segment 7. return 8. exec malicious code 9. invoke 10. pack code 11. return
43 Execution example (16/19) (8) (7) 4. control 5. invoke 6. unpack code segment 7. return 8. exec malicious code 9. invoke 10. pack code 11. return
44 (9) Execution example (17/19) (8) 4. control 5. invoke 6. unpack code segment 7. return 8. exec malicious code 9. invoke 10. pack code 11. return
45 (9) Execution example (18/19) 4. control 5. invoke 6. unpack code segment 7. return 8. exec malicious code 9. invoke 10. pack code 11. return
46 Execution example (19/19) (11) 4. control 5. invoke 6. unpack code segment 7. return 8. exec malicious code 9. invoke 10. pack code 11. return
47 (5) Big Picture (8) (11) 4. control 5. invoke 6. unpack code segment 7. return 8. exec malicious code 9. invoke 10. pack code 11. return
48 Run-time polymorphism: Strengths Only the parts of code needed at any given point are decrypted each time can use different randomly-generated encryption key every time Malware code mutates constantly Each encryption key is stored in device memory Not accessible from
49 FUTURE ATTACKS
50 Potential threats Offload computationally intensive operations e.g. password cracking Access framebuffer contents Harvest private data displayed on the user screen Display false, benign-looking information Migrate completely to the graphics card A malware that run solely on the environment
51 CONCLUSIONS
52 Summary We demonstrated how a malware can increase its robustness against detection using the Unpacking Run-time polymorphism Taking a step further, graphics cards may be a promising new environment for future malware Password cracking Framebuffer attacks and many more
53 -Assisted Malware Thank you! Giorgos Vasiliadis Michalis Polychronakis Sotiris Ioannidis
54 Publicity
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