Xiaochen Zou (UC Riverside), Yu Hao (UC Riverside), Zheng Zhang (UC RIverside), Juefei Pu (UC RIverside), Weiteng Chen (Microsoft Research, Redmond), Zhiyun Qian (UC Riverside)

Continuous fuzzing has become an integral part of the Linux kernel ecosystem, discovering thousands of bugs over the past few years. Interestingly, only a tiny fraction of them were turned into real-world exploits that target downstream distributions, e.g., Ubuntu and Fedora. This contradicts the conclusions of existing exploitability assessment tools, which classify hundreds of those bugs as high-risk, implying a high likelihood of exploitability.

Our study aims to understand the gap and bridge it. Through our investigation, we realize that the current exploitability assessment tools exclusively test bug exploitability on the upstream Linux, which is for development only; in fact, we find many of them fail to reproduce directly in downstreams. Through a large-scale measurement study of 230 bugs on 43 distros (8,032 bug/distro pairs), we find that each distro only reproduces 19.1% of bugs on average by running the upstream PoCs as root user, and 0.9% without root. Remarkably, both numbers can be significantly improved by 61% and 1300% times respectively through appropriate PoC adaptations, necessitated by environment differences.

To this end, we developed SyzBridge, a fully automated system that adapts upstream PoCs to downstream kernels. We further integrate SyzBridge with SyzScope, a state-of-the-art exploitability assessment tool that can identify high-risk exploit primitives, e.g., control flow hijack. Our integrated pipeline successfully identified 53 bugs originated from syzbot that are likely exploitable on downstream distributions, surpassing the mere 5 bugs that were turned into real-world exploits among 5,000 upstream bugs from syzbot. Notably, to validate the results, we successfully exploited 5 additional bugs that were previously not known to be exploitable publicly.

View More Papers

Threats Against Satellite Ground Infrastructure: A retrospective analysis of...

Jessie Hamill-Stewart (University of Bristol and University of Bath), Awais Rashid (University of Bristol)

Read More

Aligning Confidential Computing with Cloud-native ML Platforms

Angelo Ruocco, Chris Porter, Claudio Carvalho, Daniele Buono, Derren Dunn, Hubertus Franke, James Bottomley, Marcio Silva, Mengmei Ye, Niteesh Dubey, Tobin Feldman-Fitzthum (IBM Research)

Read More

Information Based Heavy Hitters for Real-Time DNS Data Exfiltration...

Yarin Ozery (Ben-Gurion University of the Negev, Akamai Technologies inc.), Asaf Nadler (Ben-Gurion University of the Negev), Asaf Shabtai (Ben-Gurion University of the Negev)

Read More

You Can Use But Cannot Recognize: Preserving Visual Privacy...

Qiushi Li (Tsinghua University), Yan Zhang (Tsinghua University), Ju Ren (Tsinghua University), Qi Li (Tsinghua University), Yaoxue Zhang (Tsinghua University)

Read More