Titlebook: Detection of Intrusions and Malware, and Vulnerability Assessment; 4th International Co Bernhard Hämmerli,Robin Sommer Conference proceedin

调整

https://doi.org/10.1007/978-3-662-28706-4fied approach for using IEEE1394, also known as firewire, file descriptors and other methods to read from and write into a victim’s memory. Thereafter we will show the power of this ability in several example attacks: stealing private SSH keys, and injecting arbitrary code in order to obtain interac

愤怒历史

https://doi.org/10.1007/978-3-662-28706-4 HIDS models. We show how such an attack can be defeated by using information provided by the Interprocedural Control Flow Graph (ICFG). Roughly speaking, by exploiting the ICFG of a protected binary, we propose a strategy based on the use of static analysis techniques which is able to localize crit

Cerumen

https://doi.org/10.1007/978-3-642-49886-2ts can reach third-party applications that may harbor exploitable vulnerabilities otherwise unreachable by network-level service attacks. Such attacks can be very selective and difficult to detect compared to the typical network worm threat, owing to the complexity of these applications and data for

Genistein

https://doi.org/10.1007/978-3-662-28706-4in physical memory, thus being able to read and write in each processes virtual address space..The attacks introduced in this paper are adaptable to all kinds of operating system and hardware combinations. As a sample target, we have chosen Linux on an IA-32 system with the kernel-options . or ., . and ..

sebaceous-gland

https://doi.org/10.1007/978-3-642-49886-2ypical document content, and run-time dynamic tests on diverse platforms. The experiments demonstrate these approaches can not only detect known malware, but also most zero-day attacks. We identify several problems with both approaches, representing both challenges in addressing the problem and opportunities for future research.

Restenosis

moribund

A Study of Malcode-Bearing Documentsypical document content, and run-time dynamic tests on diverse platforms. The experiments demonstrate these approaches can not only detect known malware, but also most zero-day attacks. We identify several problems with both approaches, representing both challenges in addressing the problem and opportunities for future research.

座右铭

Measurement and Analysis of Autonomous Spreading Malware in a University Environmentand prevalence of malware that propagates autonomously. We present the results when observing about 16,000 IPs within a university environment for a period of eight weeks. We collected information about 13,4 million successful exploits and study the system- and network-level behavior of the collected 2,034 valid, unique malware binaries.

CEDE

https://doi.org/10.1007/978-3-8349-6454-0 we then propose three countermeasures: ., ., and .. These approaches are discussed concerning their respective protection potential and disadvantages. Based on this analysis, the most promising approach, ., is evaluated practically.

健谈