RetSpill: Igniting User-Controlled Data to Burn Away Linux Kernel Protections
Kyle Zeng, Zhenpeng Lin, Kangjie Lu, Xinyu Xing, Ruoyu Wang, Adam Doupé, Yan Shoshitaishvili, Tiffany Bao
摘要
Leveraging a control flow hijacking primitive (CFHP) to gain root privileges is critical to attackers striving to exploit Linux kernel vulnerabilities. Such attack has become increasingly elusive as security researchers propose capable kernel security mitigations, leading to the development of complex (and, as a trade-off, brittle and unreliable) attack techniques to regain it. In this paper, we obviate the need for complexity by proposing RetSpill, a powerful yet elegant exploitation technique that employs user space data already present on the kernel stack for privilege escalation. RetSpill exploits the common practice of temporarily storing data on the kernel stack, such as when preserving user space register values during a switch from the user space to the kernel space. We perform a systematic study and identify four common practices that spill user space data to the kernel stack. Although this practice is perfectly within the kernel's security specification, it introduces a new exploitation path when paired with a control flow hijacking (CFH) vulnerability, enabling RetSpill to turn such vulnerabilities directly into privilege escalation reliably. Moreover, RetSpill can bypass many defenses currently deployed in the Linux kernels. To demonstrate the severity of this problem, we collected 22 real-world kernel vulnerabilities and built a semi-automated tool that abuses intentionally-stored, on-stack user space data for kernel exploitation in a semi-automated fashion. Our tool generated end-to-end privilege escalation exploits for 20 out of 22 CFH vulnerabilities. Finally, we propose a new mechanism to defend against the attack. CCS CONCEPTS • Security and privacy → Operating systems security; Software security engineering.
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- KEPLER: Facilitating Control-flow Hijacking Primitive Evaluation for Linux Kernel VulnerabilitiesWei Wu, Yueqi Chen, Xinyu Xing, Wei ZouUSENIX Security 2019 · 被引用 75 次
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