Metadata-Version: 1.1
Name: bandit
Version: 0.11.0
Summary: Security oriented static analyser for python code.
Home-page: https://wiki.openstack.org/wiki/Security/Projects/Bandit
Author: OpenStack Security Group
Author-email: openstack-dev@lists.openstack.org
License: UNKNOWN
Description: Bandit
        ======
        
        A security linter from OpenStack Security
        
        
        Overview
        --------
        Bandit is a tool designed to find common security issues in Python code. To do
        this Bandit processes each file, builds an AST from it, and runs appropriate
        plugins against the AST nodes.  Once Bandit has finished scanning all the files
        it generates a report.
        
        Installation
        ------------
        Bandit is distributed on PyPI.  The best way to install it is with pip:
        
        
        ***Create a virtual environment (optional):***
        
            virtualenv bandit-env
        
        ***Install Bandit:***
        
            pip install bandit
        
        ***Run Bandit:***
        
            bandit -r path/to/your/code
        
        
        Bandit can also be installed from source.  To do so, download the source
        tarball from PyPI, then install it:
        
            python setup.py install
        
        
        Usage
        -----
        Example usage across a code tree:
        
            bandit -r ~/openstack-repo/keystone
        
        Example usage across the examples/ directory, showing three lines of context
        and only reporting on the high-severity issues:
        
            bandit examples/*.py -n 3 -lll
        
        Bandit can be run with profiles.  To run Bandit against the examples directory
        using only the plugins listed in the ShellInjection profile:
        
            bandit examples/*.py -p ShellInjection
        
        Usage::
        
            bandit -h
            usage: bandit [-h] [-a AGG_TYPE] [-n CONTEXT_LINES] [-c CONFIG_FILE]
                          [-p PROFILE] [-l] [-o OUTPUT_FILE] [-d]
                          file [file ...]
        
            Bandit - a Python source code analyzer.
        
            positional arguments:
              file                  source file/s or directory to be tested
        
            optional arguments:
              -h, --help            show this help message and exit
              -r, --recursive       process files in subdirectories
              -a AGG_TYPE, --aggregate AGG_TYPE
                                    group results by (vuln)erability type or (file) it
                                    occurs in
              -n CONTEXT_LINES, --number CONTEXT_LINES
                                    number of context lines to print
              -c CONFIG_FILE, --configfile CONFIG_FILE
                                    test config file (default: bandit.yaml)
              -p PROFILE, --profile PROFILE
                                    test set profile in config to use (defaults to all
                                    tests)
              -l, --level           results level filter
              -f {txt,json}, --format {txt,json}
                                    output format for STDOUT or file
              -o OUTPUT_FILE, --output OUTPUT_FILE
                                    write report to filename
              -d, --debug           turn on debug mode
        
        
        Configuration
        -------------
        The Bandit config file is used to set several things, including:
         - profiles - defines group of tests which should or shouldn't be run
         - exclude_dirs - sections of the path, that if matched, will be excluded from
         scanning
         - plugin configs - used to tune plugins, for example: by tuning
         blacklist_imports, you can set which imports should be flagged
         - other - plugins directory, included file types, shell display
         colors, etc.
        
        Bandit requires a config file.  Bandit will use bandit.yaml in the following
        preference order:
        
         - Bandit config file specified with -c command line option
         - bandit.yaml file from current working directory
         - bandit.yaml file from ~/.config/bandit/
         - bandit.yaml file in config/ directory of the Bandit package
        
        
        Exclusions
        ----------
        In the event that a line of code triggers a Bandit issue, but that the line
        has been reviewed and the issue is a false positive or acceptable for some
        other reason, the line can be marked with a '# nosec' and any results
        associated with it will not be reported.
        
        For example, although this line may cause Bandit to report a potential
        security issue, it will not be reported::
        
            self.process = subprocess.Popen('/bin/echo', shell=True)  # nosec
        
        
        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 marked
        with 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 node in
        the AST.
        
        Test results are maintained in the BanditResultStore and aggregated for output
        at the completion of a test run.
        
        
        Writing Tests
        -------------
        To write a test:
         - Identify a vulnerability to build a test for, and create a new file in
           examples/ that contains one or more cases of that vulnerability.
         - Consider the vulnerability you're testing for, mark the function with one
           or more of the appropriate decorators:
           - @checks('Call')
           - @checks('Import', 'ImportFrom')
           - @checks('Str')
         - Create a new Python source file to contain your test, you can reference
           existing tests for examples.
         - The function that you create should take a parameter "context" which is
           an instance of the context class you can query for information about the
           current element being examined.  You can also get the raw AST node for
           more 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 ensure
           that it detects the vulnerability.  Consider variations on how this
           vulnerability might present itself and extend the example file and the test
           function accordingly.
        
        
        Contributing
        ------------
        Contributions to Bandit are always welcome!  We can be found on #openstack-security
        on Freenode IRC.
        
        The best way to get started with Bandit is to grab the source:
        
            git clone https://git.openstack.org/stackforge/bandit.git
        
        You can test any changes with tox:
        
            pip install tox
            tox -e pep8
            tox -e py27
            tox -e cover
        
        
        References
        ==========
        
        Bandit wiki: https://wiki.openstack.org/wiki/Security/Projects/Bandit
        
        Python AST module documentation: https://docs.python.org/2/library/ast.html
        
        Green Tree Snakes - the missing Python AST docs:
        http://greentreesnakes.readthedocs.org/en/latest/
        
        Documentation of the various types of AST nodes that Bandit currently covers
        or could be extended to cover:
        http://greentreesnakes.readthedocs.org/en/latest/nodes.html
        
        
Platform: UNKNOWN
Classifier: Environment :: OpenStack
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: System Administrators
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Topic :: Security
