Vector35 / Vector35/community-plugins

[New Plugin]: Bangr: Binary Ninja + angr

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invalid new plugin
Dominant language
Python
Stars
589
Forks
50
PR merge metrics
No merged PRs in 30d

Description

Plugin Description

Bangr is a combination of Binary Ninja and angr, which allows for the creation and management of symbolic states within angr. Bangr includes a Sidebar for managing states, and a Pyvex view for seeing what angr is running during symbolic execution. Users can instantiate call states, entry states, and full init states with symbolic values for argc, or symbolic args to argv. Users can then interact with states by setting different options on the states. Users can select different techniques for the simulation manager to use, then they can select to step the simulation manager, or explore for either a specific address or a specific string in output. Finally, users can save out the actions they've taken in the UI as a stand-alone script. Any unsupported features of bangr can be manually added to this standalone script, allowing for easy creation of a skeleton for users.

Plugin Repository URL

Repo URL: https://git.sr.ht/~bakerk98/bangr_plugin

Real Release
  • I have made a real release
Creation and Validation of plugin.json
  • I have created a valid plugin.json file

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reviewing the Bangr plugin repository at https://git.sr.ht/~bakerk98/bangr_plugin and the submitted plugin.json. Confirm how this community-plugins repository handles new plugin submissions and whether the release and metadata satisfy its requirements. Done means the required plugin entry is accepted and the submission is complete.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
reverse-engineering, tooling
Issue type
Feature
Difficulty
3/5
Estimated time
1-2 days
Activity status
Active
Clarity
Needs clarification
Newbie friendliness
42/100

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