BeeBox: Hardening BPF against Transient Execution Attacks
Di Jin, Alexander J. Gaidis, Vasileios P. Kemerlis
摘要
The Berkeley Packet Filter (BPF) has emerged as the de-facto standard for carrying out safe and performant, user-specified computation(s) in kernel space. However, BPF also increases the attack surface of the OS kernel disproportionately, especially under the presence of transient execution vulnerabilities. In this work, we present BeeBox: a new security architecture that hardens BPF against transient execution attacks, allowing the OS kernel to expose eBPF functionality to unprivileged users and applications. At a high level, Bee-Box sandboxes the BPF runtime against speculative code execution in an SFI-like manner. Moreover, by using a combination of static analyses and domain-specific properties, BeeBox selectively elides enforcement checks, improving performance without sacrificing security. We implemented a prototype of BeeBox for the Linux kernel that supports popular features of eBPF (e.g., BPF maps and helper functions), and evaluated it both in terms of effectiveness and performance, demonstrating resilience against prevalent transient execution attacks (i.e., Spectre-PHT and Spectre-STL) with low overhead. On average, BeeBox incurs 20% overhead in the Katran benchmark, while the current mitigations of Linux incur 112% overhead. Lastly, BeeBox exhibits less than 1% throughput degradation in end-to-end, real-world settings that include seccomp-BPF and packet filtering.
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引用它的顶会 Paper9
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- Selective On-Device Execution of Data-Dependent Read I/OsChanyoung Park, Minu Chung, Hyungon MoonFAST 2025 · 被引用 2 次
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它引用的顶会 Paper24
- Spectre Attacks: Exploiting Speculative ExecutionPaul Kocher, Jann Horn, Anders Fogh, Daniel Genkin 等S&P 2019 · 被引用 2,435 次
- ZombieLoad: Cross-Privilege-Boundary Data SamplingMichael Schwarz, Moritz Lipp, Daniel Moghimi, Jo Van Bulck 等CCS 2019 · 被引用 464 次
- A Systematic Evaluation of Transient Execution Attacks and DefensesClaudio Canella, Jo Van Bulck, Michael Schwarz, Moritz Lipp 等USENIX Security 2019 · 被引用 442 次
- Data-Oriented Programming: On the Expressiveness of Non-control Data AttacksHong Hu, Shweta Shinde, Sendroiu Adrian, Zheng Leong Chua 等S&P 2016 · 被引用 420 次
- RIDL: Rogue In-Flight Data LoadStephan van Schaik, Alyssa Milburn, Sebastian Österlund, Pietro Frigo 等S&P 2019 · 被引用 408 次
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