Zhenxiao Qi (UC Riverside), Qian Feng (Baidu USA), Yueqiang Cheng (NIO Security Research), Mengjia Yan (MIT), Peng Li (ByteDance), Heng Yin (UC Riverside), Tao Wei (Ant Group)

Software patching is a crucial mitigation approach against Spectre-type attacks. It utilizes serialization instructions to disable speculative execution of potential Spectre gadgets in a program. Unfortunately, there are no effective solutions to detect gadgets for Spectre-type attacks. In this paper, we propose a novel Spectre gadget detection technique by enabling dynamic taint analysis on speculative execution paths. To this end, we simulate and explore speculative execution at the system level (within a CPU emulator). We have implemented a prototype called SpecTaint to demonstrate the efficacy of our proposed approach. We evaluated SpecTaint on our Spectre Samples Dataset, and compared SpecTaint with existing state-of-the-art Spectre gadget detection approaches on real-world applications. Our experimental results demonstrate that SpecTaint outperforms existing methods with respect to detection precision and recall by large margins, and it also detects new Spectre gadgets in real-world applications such as Caffe and Brotli. Besides, SpecTaint significantly reduces the performance overhead after patching the detected gadgets, compared with other approaches.

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Evaluating Personal Data Control In Mobile Applications Using Heuristics

Alain Giboin (UCA, INRIA, CNRS, I3S), Karima Boudaoud (UCA, CNRS, I3S), Patrice Pena (Userthink), Yoann Bertrand (UCA, CNRS, I3S), Fabien Gandon (UCA, INRIA, CNRS, I3S)

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WeepingCAN: A Stealthy CAN Bus-off Attack

Gedare Bloom (University of Colorado Colorado Springs) Best Paper Award Winner ($300 cash prize)!

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Panel – Experiment Artifact Sharing: Challenges and Solutions

Moderator: Laura Tinnel (SRI International) Panelists: Clémentine Maurice (CNRS, IRIS); Martin Rosso (Eindhoven University of Technology); Eric Eide (U. Utah)

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FlowLens: Enabling Efficient Flow Classification for ML-based Network Security...

Diogo Barradas (INESC-ID, Instituto Superior Técnico, Universidade de Lisboa), Nuno Santos (INESC-ID, Instituto Superior Técnico, Universidade de Lisboa), Luis Rodrigues (INESC-ID, Instituto Superior Técnico, Universidade de Lisboa), Salvatore Signorello (LASIGE, Faculdade de Ciências, Universidade de Lisboa), Fernando M. V. Ramos (INESC-ID, Instituto Superior Técnico, Universidade de Lisboa), André Madeira (INESC-ID, Instituto Superior Técnico, Universidade de…

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