串扰:推测的跨核数据泄漏是真实的

Hany Ragab, Alyssa Milburn, Kaveh Razavi, H. Bos, Cristiano Giuffrida
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引用次数: 108

摘要

最近的瞬态执行攻击表明,攻击者可能会在共享CPU核心上跨安全边界泄露敏感信息。到目前为止,似乎可以通过将潜在的受害者和攻击者隔离在不同的核心上来防止这种情况。在本文中,我们展示了更严重的情况,因为瞬态执行攻击可以在许多现代英特尔cpu的不同核心上泄漏数据。我们通过研究x86指令的行为来做到这一点,我们特别关注执行场外请求的复杂微编码指令。这些操作与诸如微体系结构数据采样(MDS)之类的瞬态执行漏洞相结合,可以暴露CPU的内部状态。使用性能计数器,我们构建了一个分析器CROSSTALK,来检查许多x86指令的此类操作的数量和性质,并发现一些指令从所有CPU内核之间共享的分段缓冲区读取数据。为了演示这种行为的安全影响,我们展示了第一个使用瞬态执行的跨核攻击,表明攻击者甚至可以使用看似无害的CPUID指令对包含敏感数据(最重要的是硬件随机数生成器(RNG)的输出)的整个分段缓冲区进行跨核采样。我们展示了在实践中可以利用这一点来攻击在完全不同的核心上运行的SGX enclave,攻击者可以使用实际的性能降低攻击来控制泄漏,并展示了我们可以成功地确定enclave私钥。由于依赖于空间或时间划分的现有缓解措施在很大程度上无法阻止我们提出的攻击,因此我们还讨论了潜在的新缓解技术。
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CrossTalk: Speculative Data Leaks Across Cores Are Real
Recent transient execution attacks have demonstrated that attackers may leak sensitive information across security boundaries on a shared CPU core. Up until now, it seemed possible to prevent this by isolating potential victims and attackers on separate cores. In this paper, we show that the situation is more serious, as transient execution attacks can leak data across different cores on many modern Intel CPUs.We do so by investigating the behavior of x86 instructions, and in particular, we focus on complex microcoded instructions which perform offcore requests. Combined with transient execution vulnerabilities such as Micro-architectural Data Sampling (MDS), these operations can reveal internal CPU state. Using performance counters, we build a profiler, CROSSTALK, to examine the number and nature of such operations for many x86 instructions, and find that some instructions read data from a staging buffer which is shared between all CPU cores.To demonstrate the security impact of this behavior, we present the first cross-core attack using transient execution, showing that even the seemingly-innocuous CPUID instruction can be used by attackers to sample the entire staging buffer containing sensitive data – most importantly, output from the hardware random number generator (RNG) – across cores. We show that this can be exploited in practice to attack SGX enclaves running on a completely different core, where an attacker can control leakage using practical performance degradation attacks, and demonstrate that we can successfully determine enclave private keys. Since existing mitigations which rely on spatial or temporal partitioning are largely ineffective to prevent our proposed attack, we also discuss potential new mitigation techniques.
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