Lines Matching refs:failure

207 ### Use-after-Free exploitation strategies and failure rates
225 triggering the bug. The failure rate the attackers face with this strategy is
227 $$failure\_rate = \left(
230 * $\mathcal{S} = 8, \mathcal{G} = 2$ yields a 8.8% failure rate;
231 * $\mathcal{S} = 16, \mathcal{G} = 4$ yields a 6.9 failure rate.
239 \mathcal{G}+\mathcal{Q}}$ chances of failure. The aggregate failure rate for
242 $$failure\_rate =\left( 1 - \frac{(\mathcal{S} - \mathcal{G)} \bmod \mathcal{Q}
247 * $\mathcal{S}=8, \mathcal{G}=1, \mathcal{Q}=4$ yields a 8% failure rate;
248 * $\mathcal{S}=8, \mathcal{G}=2, \mathcal{Q}=2$ yields a 12.5% failure rate;
249 * $\mathcal{S}=16, \mathcal{G}=4, \mathcal{Q}=3$ yields a 10.7% failure rate;
250 * $\mathcal{S}=16, \mathcal{G}=4, \mathcal{Q}=4$ yields a 12.5% failure rate.
266 a probability of failure close to $\mathcal{G}/\mathcal{S}$. This probability of
267 failure is typically worse than use-after-free for attackers, and intuitively,
280 Our goal is to make attackers face at least 10% chance of failure — in the
284 * 25% failure rates for out-of-bound exploitation;
285 * 12.5% failure rates for use-after-free exploitation.