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Metadata-Version: 2.1
Name: bandit
Version: 1.5.1
Summary: Security oriented static analyser for python code.
Home-page: https://bandit.readthedocs.io/en/latest/
Author: PyCQA
Author-email: code-quality@python.org
License: UNKNOWN
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
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: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Security
Requires-Dist: GitPython (>=1.0.1)
Requires-Dist: PyYAML (>=3.12)
Requires-Dist: six (>=1.10.0)
Requires-Dist: stevedore (>=1.20.0)
.. image:: https://github.com/PyCQA/bandit/blob/master/logo/logotype-sm.png
:alt: Bandit
======
.. image:: https://travis-ci.org/PyCQA/bandit.svg?branch=master
:target: https://travis-ci.org/PyCQA/bandit/
:alt: Build Status
.. image:: https://img.shields.io/pypi/v/bandit.svg
:target: https://pypi.org/project/bandit/
:alt: Latest Version
.. image:: https://img.shields.io/pypi/pyversions/bandit.svg
:target: https://pypi.org/project/bandit/
:alt: Python Versions
.. image:: https://img.shields.io/pypi/format/bandit.svg
:target: https://pypi.org/project/bandit/
:alt: Format
.. image:: https://img.shields.io/badge/license-Apache%202-blue.svg
:target: https://github.com/PyCQA/bandit/blob/master/LICENSE
:alt: License
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
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.
Bandit was originally developed within the OpenStack Security Project and
later rehomed to PyCQA.
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
# Or if you're working with a Python 3 project
pip3 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 ~/your_repos/project
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
Bandit also supports passing lines of code to scan using standard input. To
run Bandit with standard input::
cat examples/imports.py | bandit -
Usage::
$ bandit -h
usage: bandit [-h] [-r] [-a {file,vuln}] [-n CONTEXT_LINES] [-c CONFIG_FILE]
[-p PROFILE] [-t TESTS] [-s SKIPS] [-l] [-i]
[-f {csv,custom,html,json,screen,txt,xml,yaml}]
[--msg-template MSG_TEMPLATE] [-o [OUTPUT_FILE]] [-v] [-d]
[--ignore-nosec] [-x EXCLUDED_PATHS] [-b BASELINE]
[--ini INI_PATH] [--version]
[targets [targets ...]]
Bandit - a Python source code security analyzer
positional arguments:
targets source file(s) or directory(s) to be tested
optional arguments:
-h, --help show this help message and exit
-r, --recursive find and process files in subdirectories
-a {file,vuln}, --aggregate {file,vuln}
aggregate output by vulnerability (default) or by
filename
-n CONTEXT_LINES, --number CONTEXT_LINES
maximum number of code lines to output for each issue
-c CONFIG_FILE, --configfile CONFIG_FILE
optional config file to use for selecting plugins and
overriding defaults
-p PROFILE, --profile PROFILE
profile to use (defaults to executing all tests)
-t TESTS, --tests TESTS
comma-separated list of test IDs to run
-s SKIPS, --skip SKIPS
comma-separated list of test IDs to skip
-l, --level report only issues of a given severity level or higher
(-l for LOW, -ll for MEDIUM, -lll for HIGH)
-i, --confidence report only issues of a given confidence level or
higher (-i for LOW, -ii for MEDIUM, -iii for HIGH)
-f {csv,custom,html,json,screen,txt,xml,yaml}, --format {csv,custom,html,json,screen,txt,xml,yaml}
specify output format
--msg-template MSG_TEMPLATE
specify output message template (only usable with
--format custom), see CUSTOM FORMAT section for list
of available values
-o [OUTPUT_FILE], --output [OUTPUT_FILE]
write report to filename
-v, --verbose output extra information like excluded and included
files
-d, --debug turn on debug mode
--ignore-nosec do not skip lines with # nosec comments
-x EXCLUDED_PATHS, --exclude EXCLUDED_PATHS
comma-separated list of paths to exclude from scan
(note that these are in addition to the excluded paths
provided in the config file)
-b BASELINE, --baseline BASELINE
path of a baseline report to compare against (only
JSON-formatted files are accepted)
--ini INI_PATH path to a .bandit file that supplies command line
arguments
--version show program's version number and exit
CUSTOM FORMATTING
-----------------
Available tags:
{abspath}, {relpath}, {line}, {test_id},
{severity}, {msg}, {confidence}, {range}
Example usage:
Default template:
bandit -r examples/ --format custom --msg-template \
"{abspath}:{line}: {test_id}[bandit]: {severity}: {msg}"
Provides same output as:
bandit -r examples/ --format custom
Tags can also be formatted in python string.format() style:
bandit -r examples/ --format custom --msg-template \
"{relpath:20.20s}: {line:03}: {test_id:^8}: DEFECT: {msg:>20}"
See python documentation for more information about formatting style:
https://docs.python.org/3.4/library/string.html
The following tests were discovered and loaded:
-----------------------------------------------
B101 assert_used
B102 exec_used
B103 set_bad_file_permissions
B104 hardcoded_bind_all_interfaces
B105 hardcoded_password_string
B106 hardcoded_password_funcarg
B107 hardcoded_password_default
B108 hardcoded_tmp_directory
B110 try_except_pass
B112 try_except_continue
B201 flask_debug_true
B301 pickle
B302 marshal
B303 md5
B304 ciphers
B305 cipher_modes
B306 mktemp_q
B307 eval
B308 mark_safe
B309 httpsconnection
B310 urllib_urlopen
B311 random
B312 telnetlib
B313 xml_bad_cElementTree
B314 xml_bad_ElementTree
B315 xml_bad_expatreader
B316 xml_bad_expatbuilder
B317 xml_bad_sax
B318 xml_bad_minidom
B319 xml_bad_pulldom
B320 xml_bad_etree
B321 ftplib
B322 input
B323 unverified_context
B324 hashlib_new_insecure_functions
B325 tempnam
B401 import_telnetlib
B402 import_ftplib
B403 import_pickle
B404 import_subprocess
B405 import_xml_etree
B406 import_xml_sax
B407 import_xml_expat
B408 import_xml_minidom
B409 import_xml_pulldom
B410 import_lxml
B411 import_xmlrpclib
B412 import_httpoxy
B413 import_pycrypto
B414 import_pycryptodome
B501 request_with_no_cert_validation
B502 ssl_with_bad_version
B503 ssl_with_bad_defaults
B504 ssl_with_no_version
B505 weak_cryptographic_key
B506 yaml_load
B507 ssh_no_host_key_verification
B601 paramiko_calls
B602 subprocess_popen_with_shell_equals_true
B603 subprocess_without_shell_equals_true
B604 any_other_function_with_shell_equals_true
B605 start_process_with_a_shell
B606 start_process_with_no_shell
B607 start_process_with_partial_path
B608 hardcoded_sql_expressions
B609 linux_commands_wildcard_injection
B610 django_extra_used
B611 django_rawsql_used
B701 jinja2_autoescape_false
B702 use_of_mako_templates
B703 django_mark_safe
Configuration
-------------
An optional config file may be supplied and may include:
- lists of tests which should or shouldn't be run
- exclude_dirs - sections of the path, that if matched, will be excluded from
scanning
- overridden plugin settings - may provide different settings for some
plugins
Per Project Command Line Args
-----------------------------
Projects may include a `.bandit` file that specifies command line arguments
that should be supplied for that project. The currently supported arguments
are:
- 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:
::
[bandit]
exclude: /test
::
[bandit]
tests: B101,B102,B301
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.
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 4 things:
- `result_store`: An instance of `bandit.core.BanditResultStore`
- `file_list`: The list of files which were inspected in the scope
- `scores`: The scores awarded to each file in the scope
- `excluded_files`: The list of files that were excluded from the scope
Plugins tend to take advantage of the `bandit.checks` decorator which allows
the author to register a check for a particular type of AST node. For example
::
@bandit.checks('Call')
def prohibit_unsafe_deserialization(context):
if 'unsafe_load' in context.call_function_name_qual:
return bandit.Issue(
severity=bandit.HIGH,
confidence=bandit.HIGH,
text="Unsafe deserialization detected."
)
To register your plugin, you have two options:
1. If you're using setuptools directly, add something like the following to
your ``setup`` call::
# If you have an imaginary bson formatter in the bandit_bson module
# and a function called `formatter`.
entry_points={'bandit.formatters': ['bson = bandit_bson:formatter']}
# Or a check for using mako templates in bandit_mako that
entry_points={'bandit.plugins': ['mako = bandit_mako']}
2. If you're using pbr, add something like the following to your `setup.cfg`
file::
[entry_points]
bandit.formatters =
bson = bandit_bson:formatter
bandit.plugins =
mako = bandit_mako
Contributing
------------
Contributions to Bandit are always welcome!
The best way to get started with Bandit is to grab the source::
git clone https://github.com/PyCQA/bandit.git
You can test any changes with tox::
pip install tox
tox -e pep8
tox -e py27
tox -e py35
tox -e docs
tox -e cover
Please make PR requests using your own branch, and not master::
git checkout -b mychange
git push origin mychange
Reporting Bugs
--------------
Bugs should be reported on github. To file a bug against Bandit, visit:
https://github.com/PyCQA/bandit/issues
Under Which Version of Python Should I Install Bandit?
------------------------------------------------------
The answer to this question depends on the project(s) you will be running
Bandit against. If your project is only compatible with Python 2.7, you
should install Bandit to run under Python 2.7. If your project is only
compatible with Python 3.5, then use 3.5 respectively. If your project supports
both, 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 to
analyze your Python code. The `ast` module is only able to parse Python code
that is valid in the version of the interpreter from which it is imported. In
other words, if you try to use Python 2.7's `ast` module to parse code written
for 3.5 that uses, for example, `yield from` with asyncio, then you'll have
syntax 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 syntax
error if you run Bandit on 3.x.
References
==========
Bandit docs: https://bandit.readthedocs.io/en/latest/
Python AST module documentation: https://docs.python.org/2/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 covers
or could be extended to cover:
https://greentreesnakes.readthedocs.org/en/latest/nodes.html
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