pip-audit 1.0.1

A tool for scanning Python environments for known vulnerabilities

pip-audit

pip-audit is a tool for scanning Python environments for packages with known vulnerabilities. It uses the Python Packaging Advisory Database (https://github.com/pypa/advisory-db) via the PyPI JSON API as a source of vulnerability reports.

This project is developed by Trail of Bits with support from Google. This is not an official Google product.

Installation

pip-audit requires Python 3.6 or newer, and can be installed directly via pip:

python -m pip install pip-audit

Usage

usage: pip-audit [-h] [-V] [-l] [-r REQUIREMENTS] [-f FORMAT] [-s SERVICE]
                 [-d] [-S] [--desc [{on,off,auto}]] [--cache-dir CACHE_DIR]
                 [--progress-spinner {on,off}] [--timeout TIMEOUT]

audit the Python environment for dependencies with known vulnerabilities

optional arguments:
  -h, --help            show this help message and exit
  -V, --version         show program's version number and exit
  -l, --local           show only results for dependencies in the local
                        environment (default: False)
  -r REQUIREMENTS, --requirement REQUIREMENTS
                        audit the given requirements file; this option can be
                        used multiple times (default: None)
  -f FORMAT, --format FORMAT
                        the format to emit audit results in (choices: columns,
                        json, cyclonedx-json, cyclonedx-xml) (default:
                        columns)
  -s SERVICE, --vulnerability-service SERVICE
                        the vulnerability service to audit dependencies
                        against (choices: osv, pypi) (default: pypi)
  -d, --dry-run         collect all dependencies but do not perform the
                        auditing step (default: False)
  -S, --strict          fail the entire audit if dependency collection fails
                        on any dependency (default: False)
  --desc [{on,off,auto}]
                        include a description for each vulnerability; `auto`
                        defaults to `on` for the `json` format. This flag has
                        no effect on the `cyclonedx-json` or `cyclonedx-xml`
                        formats. (default: auto)
  --cache-dir CACHE_DIR
                        the directory to use as an HTTP cache for PyPI; uses
                        the `pip` HTTP cache by default (default: None)
  --progress-spinner {on,off}
                        display a progress spinner (default: on)
  --timeout TIMEOUT     set the socket timeout (default: 15)

Examples

Audit dependencies for the current Python environment:

$ pip-audit
No known vulnerabilities found

Audit dependencies for a given requirements file:

$ pip-audit -r ./requirements.txt
No known vulnerabilities found

Audit dependencies for the current Python environment excluding system packages:

$ pip-audit -r ./requirements.txt -l
No known vulnerabilities found

Audit dependencies when there are vulnerabilities present:

$ pip-audit
Found 2 known vulnerabilities in 1 packages
Name  Version ID             Fix Versions
----  ------- -------------- ------------
Flask 0.5     PYSEC-2019-179 1.0
Flask 0.5     PYSEC-2018-66  0.12.3

Audit dependencies including descriptions:

$ pip-audit --desc
Found 2 known vulnerabilities in 1 packages
Name  Version ID             Fix Versions Description
----  ------- -------------- ------------ --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Flask 0.5     PYSEC-2019-179 1.0          The Pallets Project Flask before 1.0 is affected by: unexpected memory usage. The impact is: denial of service. The attack vector is: crafted encoded JSON data. The fixed version is: 1. NOTE: this may overlap CVE-2018-1000656.
Flask 0.5     PYSEC-2018-66  0.12.3       The Pallets Project flask version Before 0.12.3 contains a CWE-20: Improper Input Validation vulnerability in flask that can result in Large amount of memory usage possibly leading to denial of service. This attack appear to be exploitable via Attacker provides JSON data in incorrect encoding. This vulnerability appears to have been fixed in 0.12.3. NOTE: this may overlap CVE-2019-1010083.

Audit dependencies in JSON format:

$ pip-audit -f json | jq
Found 2 known vulnerabilities in 1 packages
[
  {
    "name": "flask",
    "version": "0.5",
    "vulns": [
      {
        "id": "PYSEC-2019-179",
        "fix_versions": [
          "1.0"
        ],
        "description": "The Pallets Project Flask before 1.0 is affected by: unexpected memory usage. The impact is: denial of service. The attack vector is: crafted encoded JSON data. The fixed version is: 1. NOTE: this may overlap CVE-2018-1000656."
      },
      {
        "id": "PYSEC-2018-66",
        "fix_versions": [
          "0.12.3"
        ],
        "description": "The Pallets Project flask version Before 0.12.3 contains a CWE-20: Improper Input Validation vulnerability in flask that can result in Large amount of memory usage possibly leading to denial of service. This attack appear to be exploitable via Attacker provides JSON data in incorrect encoding. This vulnerability appears to have been fixed in 0.12.3. NOTE: this may overlap CVE-2019-1010083."
      }
    ]
  },
  {
    "name": "jinja2",
    "version": "3.0.2",
    "vulns": []
  },
  {
    "name": "pip",
    "version": "21.3.1",
    "vulns": []
  },
  {
    "name": "setuptools",
    "version": "57.4.0",
    "vulns": []
  },
  {
    "name": "werkzeug",
    "version": "2.0.2",
    "vulns": []
  },
  {
    "name": "markupsafe",
    "version": "2.0.1",
    "vulns": []
  }
]

Licensing

pip-audit is licensed under the Apache 2.0 License.

pip-audit reuses and modifies examples from resolvelib, which is licensed under the ISC license.

Contributing

See the contributing docs for details.

Code of Conduct

Everyone interacting with this project is expected to follow the PSF Code of Conduct.