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Diffstat (limited to 'docs/ideas.md')
| -rw-r--r-- | docs/ideas.md | 43 |
1 files changed, 7 insertions, 36 deletions
diff --git a/docs/ideas.md b/docs/ideas.md index 0130cf61..e25d3ba6 100644 --- a/docs/ideas.md +++ b/docs/ideas.md @@ -3,42 +3,6 @@ In the following, we describe a variety of ideas that could be implemented for future AFL++ versions. -# GSoC 2021 - -All GSoC 2021 projects will be in the Rust development language! - -## UI for libaflrs - -Write a user interface to libaflrs, the upcoming backend of afl++. -This might look like the afl-fuzz UI, but you can improve on it - and should! - -## Schedulers for libaflrs - -Schedulers is a mechanism that selects items from the fuzzing corpus based -on strategy and randomness. One scheduler might focus on long paths, -another on rarity of edges disocvered, still another on a combination on -things. Some of the schedulers in afl++ have to be ported, but you are free -to come up with your own if you want to - and see how it performs. - -## Forkserver support for libaflrs - -The current libaflrs implementation fuzzes in-memory, however obviously we -want to support afl instrumented binaries as well. -Hence a forkserver support needs to be implemented - forking off the target -and talking to the target via a socketpair and the communication protocol -within. - -## More Observers for libaflrs - -An observer is measuring functionality that looks at the target being fuzzed -and documents something about it. In traditional fuzzing this is the coverage -in the target, however we want to add various more observers, e.g. stack depth, -heap usage, etc. - this is a topic for an experienced Rust developer. - -# Generic ideas and wishlist - NOT PART OF GSoC 2021 ! - -The below list is not part of GSoC 2021. - ## Analysis software Currently analysis is done by using afl-plot, which is rather outdated. @@ -65,6 +29,13 @@ the current Unicorn instrumentation. Mentor: any +## Support other programming languages + +Other programming languages also use llvm hence they could (easily?) supported +for fuzzing, e.g. mono, swift, go, kotlin native, fortran, ... + +Mentor: vanhauser-thc + ## Machine Learning Something with machine learning, better than [NEUZZ](https://github.com/dongdongshe/neuzz) :-) |