Detection of patterns of obfuscated code
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 6.2k
- Forks
- 726
- Avg merge
- 11d 11h
- Merged PRs (30d)
- 7
Description
I came across the works by Tim Blazytko that seem relevant to capa.
In https://synthesis.to/2021/08/10/obfuscation_detection.html and https://synthesis.to/2021/03/03/flattening_detection.html, Tim mentioned some ways to automatically detect certain patterns of obfuscated code that might be interesting to reverse engineer. For example, long basic blocks, large functions, control-flow flatten code/code that implements state machine. I feel like capa's extractor could extract these info.
Tim has also implemented the detection algorithm using Binary Ninja: https://github.com/mrphrazer/obfuscation_detection
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading capa's extractor and the linked obfuscation-detection and control-flow-flattening articles. Compare the suggested patterns with the detection algorithm in the linked Binary Ninja project. Done would mean defining and implementing a concrete set of obfuscation detections in capa, with behavior and validation agreed for the selected patterns.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- reverse-engineering
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 32/100