Issue #19104 has been updated by mmizutani (Minoru Mizutani). Regex fuzzing encountered an edge-case regression: ```bash $ ruby --version ruby 3.1.2p20 (2022-04-12 revision 4491bb740a) [x86_64-linux] $ time ruby -e 'puts /あ(?~い)/.match?("あ")' true 0.04s user 0.04s system 74% cpu 0.118 total ``` ```bash $ ruby --version ruby 3.2.0rc1 (2022-12-10) [x86_64-linux] $ time ruby -e 'puts /あ(?~い)/.match?("あ")' # This regex matching involving an absent operator and non-ASCII characters runs indefinitely and consumes gigabytes of memory, eventually killed by the OS. ``` ---------------------------------------- Feature #19104: Introduce the cache-based optimization for Regexp matching https://bugs.ruby-lang.org/issues/19104#change-100542 * Author: make_now_just (Hiroya Fujinami) * Status: Open * Priority: Normal ---------------------------------------- Regexp matching causes a time-complexity explosion problem as known as ReDoS ([https://en.wikipedia.org/wiki/ReDoS](https://en.wikipedia.org/wiki/ReDoS)). ReDoS has become serious vulnerability in many places in recent years, and Ruby is no exception. The following is the incomplete list of such vulnerability reports: - [https://github.com/sinatra/sinatra/pull/1823](https://github.com/sinatra/sinatra/pull/1823) - [https://github.com/lostisland/faraday-net_http/pull/27](https://github.com/lostisland/faraday-net_http/pull/27) These reports have been addressed by fixing the library/software implementation. But, if the language’s Regexp implementation becomes safe, the vulnerability is fundamentally archived. For a few months, Ruby has implemented a Regexp matching timeout ([https://bugs.ruby-lang.org/issues/17837](https://bugs.ruby-lang.org/issues/17837)). It is one of the useful methods for preventing ReDoS vulnerability, but it is a problem that setting a correct timeout value is hard. This value is depending on input length, environment, network status, system load, etc. When the value is too small, a system may be broken, but when the value is too large, it is not useful for preventing ReDoS. Therefore, as a new way to prevent ReDoS, we propose to introduce cache-based optimization for Regexp matching. As CS fundamental knowledge, automaton matching result depends on the position of input and state. In addition, matching time explosion is caused for repeating to arrive at the same position and state many times. Then, ReDoS can be prevented when pairs of position, and state arrived once is recorded (cached). In fact, under such an optimization, it is known as the matching time complexity is linear against input size [1]. [1]: Davis, James C., Francisco Servant, and Dongyoon Lee. "Using selective memoization to defeat regular expression denial of service (ReDoS)." *2021 IEEE symposium on security and privacy (SP)*. IEEE, 2021. [https://www.computer.org/csdl/proceedings-article/sp/2021/893400a543/1oak988ThvO](https://www.computer.org/csdl/proceedings-article/sp/2021/893400a543/1oak988ThvO) See the following example. ```bash $ ruby --version ruby 3.2.0preview2 (2022-09-09 master 35cfc9a3bb) [arm64-darwin21] $ time ruby -e '/^(a|a)*$/ =~ "a" * 28 + "b"' ruby -e '/^(a|a)*$/ =~ "a" * 28 + "b"' 8.49s user 0.04s system 98% cpu 8.663 total $ ./miniruby --version ruby 3.2.0dev (2022-10-27T13:39:56Z recache bc59b7cc1e) [arm64-darwin21] $ time ./miniruby -e '/^(a|a)*$/ =~ "a" * 28 + "b"' ./miniruby -e '/^(a|a)*$/ =~ "a" * 28 + "b"' 0.01s user 0.01s system 8% cpu 0.310 total ``` In this example, using ruby v3.2.0-preview2, matching `/^(a|a)*$/` against `"a" * 28 + "b"` takes 8.6 seconds because matching time of this Regexp takes exponentially against `"a" * N + "b"` form string. But, using the patched version of ruby, it takes 0.01 seconds. Incredibly it is 860 times faster because matching is done in linear time. By this optimization, the matching time is linear to the input size. It sounds secure and good. Unfortunately, when Regexp uses some extension (e.g. look-around, back-reference, subexpression call), the optimization is not applied. Also, the optimization needs a bit more memory for caching. However, we have already investigated that they are not so the major problems (See the "Limitation" section). ## Implementation The basic cache implementation is complete at this time and can be found in the following Pull Request. [https://github.com/ruby/ruby/pull/6486](https://github.com/ruby/ruby/pull/6486) Some tests seem to be failed, but it is no problem! Because the failed tests are for Regexp timeout, optimization works correctly and so they failed as expected. Of course, we need to fix these tests before merging. Implementation notes: - A null-check on loop causes non-linear behavior, so the field to index the latest null-check item on the stack is added to OnigStackType. ([https://github.com/ruby/ruby/pull/6486/files#diff-4347460e379cd970ba0b88b4acb215ea60cbae308124675de8811eed377367aaR831](https://github.com/ruby/ruby/pull/6486/files#diff-4347460e379cd970ba0b88b4acb215ea60cbae308124675de8811eed377367aaR831)) - When the loop is null and this loop has a capture, matching behaves as a monomaniac. To reproduce this behavior, caches in the loop is cleared as necessary. ([https://github.com/ruby/ruby/pull/6486/files#diff-c3cfe19efff0cc5181384741386067b81eadb2505b8b9b3f980d10f815037395R3433](https://github.com/ruby/ruby/pull/6486/files#diff-c3cfe19efff0cc5181384741386067b81eadb2505b8b9b3f980d10f815037395R3433)) Like a flip-flop operator, we hope to drop this if possible. But it still remains backward compatibility. ### Limitation Cache-based optimization is not applied in the following cases: 1. Regexp using some extensions (back-reference and subexpression call, look-around, atomic, absent operators) is not optimized because it is impossible or hard. However, it may be possible for look-around operators. 2. A bounded or fixed times repetition nesting in another repetition (e.g. `/(a{2,3})*/`). It is an implementation issue entirely, but we believe it is hard to support this case correctly. 3. Bounded or fixed times repetition is too large (e.g. `/(a|b){100000,200000}/`). The cache table size is proportional to the product of the number of cache points of regex and input size. In this case, since the number of cache points becomes too large, the optimization cannot be applied. Experiments were conducted to investigate how these limitations are problematic in practice. We used ObjectSpace to collect Regexps and investigate whether they could be optimized and the number of cache points. Regexps were collected from the standard library, Webrick, and Rails. See the following gist for the details ([https://gist.github.com/makenowjust/83e1e75a2d7de8b956e93bdac004a06b](https://gist.github.com/makenowjust/83e1e75a2d7de8b956e93bdac004a06b)). The experiments result is shown in the following table. | Collected from | # Regexp | # non-optimizable | Maximum number of cache points | | --- | --- | --- | --- | | stdlib | 1009 | 86 (8.52%) | 81 | | Webrick | 356 | 44 (12.36%) | 20 | | Rails | 759 | 74 (7.75%) | 27 | | Total <br> (Duplications are reduced) | 1506 | 118 (7.84%) | 81 | This result shows that the percentage of non-optimizable Regexp is less than 10%, and the amount of memory used for optimization is about 10 times the length of the string (81/8, for a bit array) at worst in this case. It is considered that a sufficient number of Regexp can be optimized in practice. ## Specification The detailed specification has been fixed yet. We have some ideas and we would like to discuss them. - When is optimization enabled? Currently, it turns on when the backtrack causes as many as the input length. - How the number of cache points is allowed, and how memory can be allocated? It is not determined for now. - If the above parameters can be specified by users, how are they specified? (via command-line flags, or static / instance parameters like `Regexp#.timeout=` and `Regexp#timeout=`) - Unless the input size is too large, the availability of optimization can be determined on compile-time. So, we would like to add a new flag to Regexp to determine whether a cache is available. It becomes one of the criteria for whether Regexp is efficiently executable or not. We believe it helps users. Thus, which letter is preferred for this purpose? `l` (linear) or `r` (regular) sounds good, but I am not sure which is the best. Thank you. -- https://bugs.ruby-lang.org/