Claudio Migliorelli (IBM Research Europe - Zurich), Andrea Mambretti (IBM Research Europe - Zurich), Alessandro Sorniotti (IBM Research Europe - Zurich), Vittorio Zaccaria (Politecnico di Milano), Anil Kurmus (IBM Research Europe - Zurich)

Kernel memory allocators remain a critical attack surface, despite decades of research into memory corruption defenses. While recent mitigation strategies have diminished the effectiveness of conventional attack techniques, we show that robust cross-cache attacks are still feasible and pose a significant threat. In this paper, we introduce PCPLOST, a cross-cache memory massaging technique that bypasses mainline mitigations by carefully using side channels to infer the kernel allocator’s internal state. We demonstrate that vulnerabilities such as out-of-bounds (OOB) — and, via pivoting, use-after-free (UAF) and double-free (DF) — can be exploited reliably through a cross-cache attack, across all generic caches, even in the presence of noise. We validate the generality and robustness of our approach by exploiting 6 publicly disclosed CVEs by using PCPLOST, and discuss possible mitigations. The significant reliability (over 90% in most cases) of our approach in obtaining a cross-cache layout suggests that current mitigation strategies fail to offer comprehensive protection against such attacks within the Linux kernel.

View More Papers

SACK: Systematic Generation of Function Substitution Attacks Against Control-Flow...

Zhechang Zhang (The Pennsylvania State University), Hengkai Ye (The Pennsylvania State University), Song Liu (University of Delaware), Hong Hu (The Pennsylvania State University)

Read More

IsolatOS: Detecting Double Fetch Bugs in COTS RTOS by...

Yingjie Cao (Sun Yat-sen University and The Hong Kong Polytechnic University), Xiaogang Zhu (Adelaide University), Dean Sullivan (University of New Hampshire, US), Haowei Yang, Lei Xue (Sun Yat-sen University), Xian Li (Swinburne University of Technology, Australia), Chenxiong Qian (University of Hong Kong, China), Minrui Yan (Swinburne University of Technology, Australia), Xiapu Luo (The Hong Kong…

Read More

Cease at the Ultimate Goodness: Towards Efficient Website Fingerprinting...

Rong Wang (Southeast University), Zhen Ling (Southeast University), Guangchi Liu (Southeast University), Shaofeng Li (Southeast University), Junzhou Luo (Southeast University and Fuyao University of Science and Technology), Xinwen Fu (University of Massachusetts Lowell)

Read More