therefore slightly extend the capacities of the database. In particular, the possibility of breaking out of strings by providing legitimately escaped data was attempted but no vulnerabilities could timing attack is not possible. This is because the salt is never reused and causes unpredictable changes. If the attacker has retrieved the stored password hash (e.g. via SQL injection), a timing attack

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 Addressing Changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 308 Making Schema Changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 309 Making Schema Changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 43 Addressing Changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64 Changes made to the topo when traffic is switched . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81 Tracking schema changes in Vstreams . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 81

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38 Addressing Changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51 Tracking schema changes in vstreams 51 Motivation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 370 Making Schema Changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40 Addressing Changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58 Tracking schema changes in Vstreams 58 Motivation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 414 Making Schema Changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39 Addressing Changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56 Tracking schema changes in Vstreams 56 Motivation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 391 Making Schema Changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 Addressing Changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 196 Making Schema Changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . variety of problems, including: • Scaling a MySQL database, using sharding, while keeping application changes to a minimum • Migrating your MySQL installation from bare metal to a private or public cloud • Deploying

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 Addressing Changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 224 Making Schema Changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . table copy and a subscription to all changes made to the table. Vitess uses batching to improve the performance of both table copying and applying subscription changes, but you should expect that tables

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 Addressing Changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 187 Making Schema Changes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . variety of problems, including: • Scaling a MySQL database, using sharding, while keeping application changes to a minimum • Migrating your MySQL installation from bare metal to a private or public cloud • Deploying

community members also maintain the build, so that the fuzzers keep running, in case upstream code changes break the build. During the audit, Ada Logics wrote 3 new fuzzers: 14 Vitess Security Audit, 2023 OSS-Fuzz integration, allowing them to run continuously and test for more special cases as well as code changes. 15 Vitess Security Audit, 2023 Issues found Here we present the issues that we identified during Storage Non-cryptographic hash part of the S3 API As such, this issue did not require any code changes, and it has been kept here in the report as a reference for users that have internal policies that