TY - GEN
T1 - Yataglass
T2 - 6th International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment, DIMVA 2009
AU - Shimamura, Makoto
AU - Kono, Kenji
PY - 2009
Y1 - 2009
N2 - Remote code-injection attacks are one of the most frequently used attacking vectors in computer security. To detect and analyze injected code (often called shellcode), some researchers have proposed network-level code emulators. A network-level code emulator can detect shellcode accurately and help analysts to understand the behavior of shellcode. We demonstrated that memory-scanning attacks can evade current emulators, and propose Yataglass, an elaborated network-level code emulator, that enables us to analyze shellcode that incorporates memory-scanning attacks. According to our experimental results, Yataglass successfully emulated and analyzed real shellcode into which we had manually incorporated memory-scanning attacks.
AB - Remote code-injection attacks are one of the most frequently used attacking vectors in computer security. To detect and analyze injected code (often called shellcode), some researchers have proposed network-level code emulators. A network-level code emulator can detect shellcode accurately and help analysts to understand the behavior of shellcode. We demonstrated that memory-scanning attacks can evade current emulators, and propose Yataglass, an elaborated network-level code emulator, that enables us to analyze shellcode that incorporates memory-scanning attacks. According to our experimental results, Yataglass successfully emulated and analyzed real shellcode into which we had manually incorporated memory-scanning attacks.
KW - Code-injection attack
KW - Intrusion analysis
KW - Intrusion detection
KW - Memory-scanning attack
KW - Network-level code emulation
UR - http://www.scopus.com/inward/record.url?scp=70350658277&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70350658277&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-02918-9_5
DO - 10.1007/978-3-642-02918-9_5
M3 - Conference contribution
AN - SCOPUS:70350658277
SN - 3642029175
SN - 9783642029172
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 68
EP - 87
BT - Detection of Intrusions and Malware, and Vulnerability Assessment - 6th International Conference, DIMVA 2009, Proceedings
Y2 - 9 July 2009 through 10 July 2009
ER -