ClaudiuGeorgiu / RiskInDroid
A tool for quantitative risk analysis of Android applications based on machine learning techniques
Why this job: works in the areas we cover, but does not say which job it does
What it does
Unlike other tools, RiskInDroid does not take into consideration only the permissions declared into the app manifest, but carries out reverse engineering on the apps to retrieve the bytecode and then infers (through static analysis) which permissions are actually used and which not, extracting in this way 4 sets of permissions for every analyzed app:
Get started
$ git clone https://github.com/ClaudiuGeorgiu/RiskInDroid.git - Maintenance
- Active
- Last commit 3 days ago
- Stars
- 163
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v1.5.0
- Released 2 years ago
- Built with
- Python
- 67% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 100% closed
- 0 still open
- Pull requests
- 58 merged
- 0 waiting
- Releases
- 7
- 0 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 67%
- HTML 31%
- Dockerfile 2%
Topics
- android
- android-permissions
- machine-learning
- quantitative-risk-analysis
- risk
- riskindroid
Project record
- JobOther AI tools
- StatusListed
- Commits109
- Forks31
- Watching4
- Stars in 28 days+1
- CreatedDec 3, 2016
- First seen by usNov 7, 2026
- CheckedNov 10, 2026