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Security oriented static analyser for python code.

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Project description

A security linter from PyCQA

• Free software: Apache license
• Documentation: https://bandit.readthedocs.io/en/latest/
• Source: https://github.com/PyCQA/bandit
• Bugs: https://github.com/PyCQA/bandit/issues
• Contributing: https://github.com/PyCQA/bandit/blob/master/CONTRIBUTING.md

Overview

Bandit is a tool designed to find common security issues in Python code. To dothis Bandit processes each file, builds an AST from it, and runs appropriateplugins against the AST nodes. Once Bandit has finished scanning all the filesit generates a report.

Bandit was originally developed within the OpenStack Security Project andlater rehomed to PyCQA.

Installation

Bandit is distributed on PyPI. The best way to install it is with pip:

Create a virtual environment (optional):

Install Bandit:

Run Bandit:

Bandit can also be installed from source. To do so, download the source tarballfrom PyPI, then install it:

Usage

Example usage across a code tree:

Example usage across the examples/ directory, showing three lines ofcontext and only reporting on the high-severity issues:

Bandit can be run with profiles. To run Bandit against the examples directoryusing only the plugins listed in the ShellInjection profile:

Bandit also supports passing lines of code to scan using standard input. Torun Bandit with standard input:

Usage:

Baseline

Bandit allows specifying the path of a baseline report to compare against using the base line argument (i.e. -b BASELINE or --baseline BASELINE).

This is useful for ignoring known vulnerabilities that you believe are non-issues (e.g. a cleartext password in a unit test). To generate a baseline report simply run Bandit with the output format set to json (only JSON-formatted files are accepted as a baseline) and output file path specified:

Version control integration

Use pre-commit. Once you have itinstalled, add this to the.pre-commit-config.yaml in your repository(be sure to update rev to point to a real git tag/revision!):

Then run pre-commit install and you're ready to go.

Configuration

• lists of tests which should or shouldn't be run
• exclude_dirs - sections of the path, that if matched, will be excluded fromscanning (glob patterns supported)
• overridden plugin settings - may provide different settings for someplugins

Per Project Command Line Args

Projects may include a .bandit file that specifies command line argumentsthat should be supplied for that project. The currently supported argumentsare:

• targets: comma separated list of target dirs/files to run bandit on
• exclude: comma separated list of excluded paths
• skips: comma separated list of tests to skip
• tests: comma separated list of tests to run

To use this, put a .bandit file in your project's directory. For example:

Exclusions

In the event that a line of code triggers a Bandit issue, but that the linehas been reviewed and the issue is a false positive or acceptable for someother reason, the line can be marked with a # nosec and any resultsassociated with it will not be reported.

For example, although this line may cause Bandit to report a potentialsecurity issue, it will not be reported:

Vulnerability Tests

Vulnerability tests or 'plugins' are defined in files in the plugins directory.

Tests are written in Python and are autodiscovered from the plugins directory.Each test can examine one or more type of Python statements. Tests are markedwith the types of Python statements they examine (for example: function call,string, import, etc).

Tests are executed by the BanditNodeVisitor object as it visits each nodein the AST.

Test results are managed in the Manager and aggregated foroutput at the completion of a test run through the method output_result from Manager instance.

Writing Tests

• Identify a vulnerability to build a test for, and create a new file inexamples/ that contains one or more cases of that vulnerability.
• Consider the vulnerability you're testing for, mark the function with oneor more of the appropriate decorators:- @checks(‘Call')- @checks(‘Import', ‘ImportFrom')- @checks(‘Str')
• Create a new Python source file to contain your test, you can referenceexisting tests for examples.
• The function that you create should take a parameter 'context' which isan instance of the context class you can query for information about thecurrent element being examined. You can also get the raw AST node formore advanced use cases. Please see the context.py file for more.
• Extend your Bandit configuration file as needed to support your new test.
• Execute Bandit against the test file you defined in examples/ and ensurethat it detects the vulnerability. Consider variations on how thisvulnerability might present itself and extend the example file and the testfunction accordingly.

Extending Bandit

Bandit allows users to write and register extensions for checks and formatters.Bandit will load plugins from two entry-points:

• bandit.formatters
• bandit.plugins

Formatters need to accept 5 things:

• manager: an instance of bandit manager
• fileobj: the output file object, which may be sys.stdout
• sev_level : Filtering severity level
• conf_level: Filtering confidence level
• lines=-1: number of lines to report

Plugins tend to take advantage of the bandit.checks decorator which allowsthe author to register a check for a particular type of AST node. For example

To register your plugin, you have two options:

1. If you're using setuptools directly, add something like the following toyour setup call:

2. If you're using pbr, add something like the following to your setup.cfgfile:

Contributing

Follow our Contributing file:https://github.com/PyCQA/bandit/blob/master/CONTRIBUTING.md

Reporting Bugs

Bugs should be reported on github. To file a bug against Bandit, visit:https://github.com/PyCQA/bandit/issues

Show Your Style

Use our badge in your project's README!

using Markdown:

using RST:

Under Which Version of Python Should I Install Bandit?

The answer to this question depends on the project(s) you will be runningBandit against. If your project is only compatible with Python 2.7, youshould install Bandit to run under Python 2.7. If your project is onlycompatible with Python 3.5, then use 3.5 respectively. If your project supportsboth, you could run Bandit with both versions but you don't have to.

Bandit uses the ast module from Python's standard library in order toanalyze your Python code. The ast module is only able to parse Python codethat is valid in the version of the interpreter from which it is imported. Inother words, if you try to use Python 2.7's ast module to parse code writtenfor 3.5 that uses, for example, yield from with asyncio, then you'll havesyntax errors that will prevent Bandit from working properly. Alternatively,if you are relying on 2.7's octal notation of 0777 then you'll have a syntaxerror if you run Bandit on 3.x.

References

Bandit docs: https://bandit.readthedocs.io/en/latest/

Python AST module documentation: https://docs.python.org/3/library/ast.html

Green Tree Snakes - the missing Python AST docs:https://greentreesnakes.readthedocs.org/en/latest/

Documentation of the various types of AST nodes that Bandit currently coversor could be extended to cover:https://greentreesnakes.readthedocs.org/en/latest/nodes.html

Release historyRelease notifications | RSS feed

1.7.0

1.6.3 yanked

1.6.2

1.6.1

1.6.0

1.5.1

1.5.0

1.4.0

1.3.0

1.2.0

1.1.0

1.0.1

0.17.3

Hidden through time for mac. 0.17.2

0.17.0

0.16.2

Bandit is a tool designed to find common security issues in Python code. To dothis Bandit processes each file, builds an AST from it, and runs appropriateplugins against the AST nodes. Once Bandit has finished scanning all the filesit generates a report.

Bandit was originally developed within the OpenStack Security Project andlater rehomed to PyCQA.

Installation

Bandit is distributed on PyPI. The best way to install it is with pip:

Create a virtual environment (optional):

Install Bandit:

Run Bandit:

Bandit can also be installed from source. To do so, download the source tarballfrom PyPI, then install it:

Usage

Example usage across a code tree:

Example usage across the examples/ directory, showing three lines ofcontext and only reporting on the high-severity issues:

Bandit can be run with profiles. To run Bandit against the examples directoryusing only the plugins listed in the ShellInjection profile:

Bandit also supports passing lines of code to scan using standard input. Torun Bandit with standard input:

Usage:

Baseline

Bandit allows specifying the path of a baseline report to compare against using the base line argument (i.e. -b BASELINE or --baseline BASELINE).

This is useful for ignoring known vulnerabilities that you believe are non-issues (e.g. a cleartext password in a unit test). To generate a baseline report simply run Bandit with the output format set to json (only JSON-formatted files are accepted as a baseline) and output file path specified:

Version control integration

Use pre-commit. Once you have itinstalled, add this to the.pre-commit-config.yaml in your repository(be sure to update rev to point to a real git tag/revision!):

Then run pre-commit install and you're ready to go.

Configuration

• lists of tests which should or shouldn't be run
• exclude_dirs - sections of the path, that if matched, will be excluded fromscanning (glob patterns supported)
• overridden plugin settings - may provide different settings for someplugins

Per Project Command Line Args

Projects may include a .bandit file that specifies command line argumentsthat should be supplied for that project. The currently supported argumentsare:

• targets: comma separated list of target dirs/files to run bandit on
• exclude: comma separated list of excluded paths
• skips: comma separated list of tests to skip
• tests: comma separated list of tests to run

To use this, put a .bandit file in your project's directory. For example:

Exclusions

In the event that a line of code triggers a Bandit issue, but that the linehas been reviewed and the issue is a false positive or acceptable for someother reason, the line can be marked with a # nosec and any resultsassociated with it will not be reported.

For example, although this line may cause Bandit to report a potentialsecurity issue, it will not be reported:

Vulnerability Tests

Vulnerability tests or 'plugins' are defined in files in the plugins directory.

Tests are written in Python and are autodiscovered from the plugins directory.Each test can examine one or more type of Python statements. Tests are markedwith the types of Python statements they examine (for example: function call,string, import, etc).

Tests are executed by the BanditNodeVisitor object as it visits each nodein the AST.

Test results are managed in the Manager and aggregated foroutput at the completion of a test run through the method output_result from Manager instance.

Writing Tests

• Identify a vulnerability to build a test for, and create a new file inexamples/ that contains one or more cases of that vulnerability.
• Consider the vulnerability you're testing for, mark the function with oneor more of the appropriate decorators:- @checks(‘Call')- @checks(‘Import', ‘ImportFrom')- @checks(‘Str')
• Create a new Python source file to contain your test, you can referenceexisting tests for examples.
• The function that you create should take a parameter 'context' which isan instance of the context class you can query for information about thecurrent element being examined. You can also get the raw AST node formore advanced use cases. Please see the context.py file for more.
• Extend your Bandit configuration file as needed to support your new test.
• Execute Bandit against the test file you defined in examples/ and ensurethat it detects the vulnerability. Consider variations on how thisvulnerability might present itself and extend the example file and the testfunction accordingly.

Extending Bandit

Bandit allows users to write and register extensions for checks and formatters.Bandit will load plugins from two entry-points:

• bandit.formatters
• bandit.plugins

Formatters need to accept 5 things:

• manager: an instance of bandit manager
• fileobj: the output file object, which may be sys.stdout
• sev_level : Filtering severity level
• conf_level: Filtering confidence level
• lines=-1: number of lines to report

Plugins tend to take advantage of the bandit.checks decorator which allowsthe author to register a check for a particular type of AST node. For example

To register your plugin, you have two options:

1. If you're using setuptools directly, add something like the following toyour setup call:

2. If you're using pbr, add something like the following to your setup.cfgfile:

Contributing

Follow our Contributing file:https://github.com/PyCQA/bandit/blob/master/CONTRIBUTING.md

Reporting Bugs

Bugs should be reported on github. To file a bug against Bandit, visit:https://github.com/PyCQA/bandit/issues

Show Your Style

Use our badge in your project's README!

using Markdown:

using RST:

Under Which Version of Python Should I Install Bandit?

The answer to this question depends on the project(s) you will be runningBandit against. If your project is only compatible with Python 2.7, youshould install Bandit to run under Python 2.7. If your project is onlycompatible with Python 3.5, then use 3.5 respectively. If your project supportsboth, you could run Bandit with both versions but you don't have to.

Bandit uses the ast module from Python's standard library in order toanalyze your Python code. The ast module is only able to parse Python codethat is valid in the version of the interpreter from which it is imported. Inother words, if you try to use Python 2.7's ast module to parse code writtenfor 3.5 that uses, for example, yield from with asyncio, then you'll havesyntax errors that will prevent Bandit from working properly. Alternatively,if you are relying on 2.7's octal notation of 0777 then you'll have a syntaxerror if you run Bandit on 3.x.

References

Bandit docs: https://bandit.readthedocs.io/en/latest/

Python AST module documentation: https://docs.python.org/3/library/ast.html

Green Tree Snakes - the missing Python AST docs:https://greentreesnakes.readthedocs.org/en/latest/

Documentation of the various types of AST nodes that Bandit currently coversor could be extended to cover:https://greentreesnakes.readthedocs.org/en/latest/nodes.html

Release historyRelease notifications | RSS feed

1.7.0

1.6.3 yanked

1.6.2

1.6.1

1.6.0

1.5.1

1.5.0

1.4.0

1.3.0

1.2.0

1.1.0

1.0.1

0.17.3

Hidden through time for mac. 0.17.2

0.17.0

0.16.2

0.16.1

0.16.0

0.15.2

0.15.1

0.15.0

0.14.1

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0.14.0

0.13.2

0.13.1

0.13.0

0.12.0

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0.11.0

0.10.1

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