Lazarus: Practical Side-Channel Resilient Kernel-Space Randomization
Keywords
Code-reuse attacks; KASLR; Randomization; Side channels
Abstract
Kernel exploits are commonly used for privilege escalation to take full control over a system, e.g., by means of code-reuse attacks. For this reason modern kernels are hardened with kernel Address Space Layout Randomization (KASLR), which randomizes the start address of the kernel code section at boot time. Hence, the attacker first has to bypass the randomization, to conduct the attack using an adjusted payload in a second step. Recently, researchers demonstrated that attackers can exploit unprivileged instructions to collect timing information through side channels in the paging subsystem of the processor. This can be exploited to reveal the randomization secret, even in the absence of any information-disclosure vulnerabilities in the software. In this paper we present LAZARUS, a novel technique to harden KASLR against paging-based side-channel attacks. In particular, our scheme allows for fine-grained protection of the virtual memory mappings that implement the randomization. We demonstrate the effectiveness of our approach by hardening a recent Linux kernel with LAZARUS, mitigating all of the previously presented side-channel attacks on KASLR. Our extensive evaluation shows that LAZARUS incurs only 0.943% overhead for standard benchmarks, and therefore, is highly practical.
Publication Date
1-1-2017
Publication Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume
10453 LNCS
Number of Pages
238-258
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1007/978-3-319-66332-6_11
Copyright Status
Unknown
Socpus ID
85032860989 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85032860989
STARS Citation
Gens, David; Arias, Orlando; Sullivan, Dean; Liebchen, Christopher; and Jin, Yier, "Lazarus: Practical Side-Channel Resilient Kernel-Space Randomization" (2017). Scopus Export 2015-2019. 7092.
https://stars.library.ucf.edu/scopus2015/7092