Stairway To Rainbow

Gildas Avoine, Xavier Carpent, Diane Leblanc-Albarel
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Abstract

A cryptanalytic time-memory trade-off is a technique introduced by M. Hellman in 1980 to perform brute-force attacks. It consists of a time-consuming precomputation phase performed and stored once and for all, which is then used to reduce the computation time of brute-force attacks. A variant, known as rainbow tables, introduced by Oechslin in 2003 is used by most of today’s off-the-shelf password-guessing tools. Precomputation of such tables is highly inefficient however, because much of the values computed during this task are eventually discarded. This paper revisits rainbow tables precomputation, challenging what has so far been regarded as an immutable foundation. The key idea consists in recycling values discarded during the precomputation phase, and adapting the brute force phase to make use of these recycled values. For a given memory and probability of success, the stepped rainbow tables thus created significantly reduce the workload induced by both the precomputation phase and the attack phase. The speedup obtained by using such tables is provided, and backed up by practical experiments.
通往彩虹的楼梯
密码分析时间-内存权衡是M. Hellman在1980年引入的一种执行暴力攻击的技术。它包括一个耗时的预计算阶段,一次性执行并存储,然后用于减少暴力攻击的计算时间。Oechslin在2003年推出了一种名为彩虹表的变体,如今大多数现成的密码猜测工具都在使用它。然而,这种表的预计算效率非常低,因为在此任务期间计算的许多值最终都会被丢弃。本文回顾了彩虹表的预计算,挑战了迄今为止被认为是不可变的基础。关键思想在于回收在预计算阶段丢弃的值,并调整暴力破解阶段以利用这些回收值。对于给定的内存和成功概率,由此创建的阶梯彩虹表显著减少了由预计算阶段和攻击阶段引起的工作量。给出了使用这些表所获得的加速,并得到了实际实验的支持。
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