Detection of Intrusions and Malware, and Vulnerability by Magnus Almgren, Vincenzo Gulisano, Federico Maggi

By Magnus Almgren, Vincenzo Gulisano, Federico Maggi

This e-book constitutes the refereed court cases of the twelfth foreign convention on Detection of Intrusions and Malware, and Vulnerability review, DIMVA 2015, held in Milan, Italy, in July 2015.
The 17 revised complete papers awarded have been conscientiously reviewed and chosen from seventy five submissions. The papers are prepared in topical sections on assaults, assault detection, binary research and cellular malware safeguard, social networks and large-scale assaults, internet and cellular defense, and provenance and knowledge sharing.

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Additional resources for Detection of Intrusions and Malware, and Vulnerability Assessment: 12th International Conference, DIMVA 2015, Milan, Italy, July 9-10, 2015, Proceedings

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This technique may prevent bootkit kernel level code execution but not necessarily the infection. Compared to other defensive measures like the sometimes controversial trusted computing/boot or TPM approaches our solution does not require UEFI or additional hardware. 9 Conclusion We presented a large-scale bootkit analysis and proposed detection and prevention mechanisms. We showed the results of a large scale bootkit analysis for a malware dataset composed of 25,513 samples collected over the last 8 years, whereof 2,424 samples revealed bootkit like behavior.

The category XP and Win7 defines the number of samples working on both OSes, whereas XP or Win7 specifies the amount of executables working on at least one of both systems. Though, we detected slightly more bootkits or XP, we observed more working bootkit infections on Win7. 8 % of the samples operate on both OSes. 258 samples work exclusively on XP, whereas 15 samples operate on Windows 7 only. Hence, nearly all samples working on Win7 are functional on XP too. This observation does not hold for the other direction.

After restart, the infected virtual environment enters the bootkit execution phase applying the bootkit detection heuristics to detect and analyze the potentially installed bootkit. In case prevention measures are applied, the infection phase also implements the prevention component. The analysis does not rely on any knowledge from the OS running inside the VM and all monitoring takes place in the emulated hardware. 6 Bootcamp Evaluation To evaluate Bootcamp we utilized 32 bit Windows XP and Win7, with their standard bootloaders NTLDR and bootmgr, respectively, and used the same experimental setup and dataset as described in Sect.

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