Aug 2026· ACM Transactions on Architecture and Code Optimization (TACO)· Vol 23, pp. 1-25· 0 citations· 43 references
TL;DR
This work presents PMO Checker, a comprehensive framework for detecting and recovering from security attacks, which includes various invariant checking and checkpointing schemes and is implemented on a real platform with Intel Optane PMem memory.
Abstract
As a new abstraction to manage persistent data in non-volatile memory, Persistent Memory Objects (PMOs) hold (pointer-rich) data structures that can be shared among processes over many runs and system boots. While convenient and fast, such sharing opens up a new class of attacks that attempt to break inter-process isolation, allowing the attacker to compromise a non-vulnerable process through a different process and a shared PMO. Due to the difficulty in completely preventing or avoiding security attacks, we present PMO Checker, a comprehensive framework for detecting and recovering from them. Our framework includes various invariant checking and checkpointing schemes. We implement them on a real system with Linux kernel on a real platform with Intel Optane PMem memory. Our evaluation shows the effectiveness of the attack detection and various performance optimizations that keep the overheads low.
It is found that although the new protection measures aimed at stopping popular heap exploit techniques or restricting the exploit strategy space can effectively defend against the exploitation of most vulnerabilities, the attack strategies proposed by this work can still make these vulnerabilities exploitable again.
Trusted Execution Environments (TEEs) protect enclave memory from untrusted software but remain vulnerable to cache-based side-channel attacks due to shared microarchitectural resources. Existing countermeasures use techniques such as cache partitioning or randomization: these solutions are not ideal if a designer want...
Oussama Elmnaouri, Pascal Cotret, Vianney Lapôtre et al.· 0 citations