ppklib 0.2.0rc1

The core functionality library for the ppk project.

ppklib - Python Package Check Library

The core functionality library behind the ppk project.

Overview

This library provides the lower-level core functionality to the primary ppk project.

As of ppk version 0.6.0, the core functionality has been moved out of ppk into this library to enable other projects to take advantage of ppk's vulnerability checking toolset.

The following vulnerability tests are available:

• MD5 checksum: The hash of the downloaded file is compared with the hash for the same file, as stored by PyPI.
• Security vulnerabilities (Snyk): The Snyk security database can be searched to determine if any vulnerabilities have been discovered and reported in the specific library.
• Security vulnerabilities (PyPA): The PyPA advisory database can be searched (via the PyPI JSON API) to determine if any vulnerabilities have been discovered and reported for a specific library.
• Security vulnerabilities (OSV): The Open Source Vulnerabilities database can be searched (via the OSV API) to determine if any vulnerabilities have been discovered and reported for a specific library.
• Code scanning: Integration coming soon, via the badsnakes project.

Getting Started

Downloading and installing

The ppklib library is available on PyPI. Likely, the easiest method for downloading and installing ppklib is through pip after activating the appropriate virtual environment, as:

pip install ppklib

Note: If using the ppk project, this library must be installed into the same virtual environment which is used to run ppk.

Basic usage

Basic example usage follows. For further detail and guidance please refer to the project's documentation.

Download pandas (and dependencies) via pip

from ppklib.pip import Download

pipdl = Download('pandas')
pipdl.get()

# Display the path to the downloaded target package.
pipdl.pkgpath

# Optional cleanup after the wheels are no longer needed.
pipdl.cleanup()

Download pandas version 2.2.3 for Windows and Python 3.13 into a specified download directory

from ppklib.pip import Download

pipdl = Download('pandas',
                 version='2.2.3',
                 args={'platform': 'win_amd64', 'python_version': '313'},
                 tmpdir='/tmp/c0ff33')
pipdl.get()

# Display the path to the downloaded target package.
pipdl.pkgpath

# Optional cleanup after the wheels are no longer needed.
pipdl.cleanup()

Perform a vulnerability scan against the OSV database

A Python package can be easily security scanned against OSV's vulnerability database. The vulns class property contains a list of dictionaries containing a summary of any reported vulnerabilities. Additionally, the counts property contains the number of vulnerabilities reported, by severity class.

>>> from ppklib import OSVQuery

>>> oquery = OSVQuery.vulnerabilities(name='numpy', version='1.20.0')

>>> # Inspect the retrieved vulnerabilities.
>>> oquery.vulns
[{'id': 'GHSA-6p56-wp2h-9hxr',
  'summary': 'NumPy Buffer Overflow (Disputed)',
  'aliases': ['CVE-2021-33430', 'PYSEC-2021-854'],
  'published': '2022-01-07T00:09:39Z',
  'modified': '2024-09-26T15:01:21.525444Z',
  'severity': 'MODERATE',
  'vectors': [{'CVSS_V3': 'CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:H'},
   {'CVSS_V4': 'CVSS:4.0/AV:N/AC:H/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N'}]},
 {'id': 'GHSA-fpfv-jqm9-f5jm',
  'summary': 'Incorrect Comparison in NumPy',
  'aliases': ['CVE-2021-34141', 'PYSEC-2021-855'],
  'published': '2021-12-18T00:00:41Z',
  'modified': '2023-11-08T04:06:07.388275Z',
  'severity': 'MODERATE',
  'vectors': [{'CVSS_V3': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L'}]}]

>>> # Check vulnerability counts
>>> oquery.counts
<SeverityCountsObject> C: 0, H: 0, M: 2, L: 0 (Total: 2)

Query PyPI for a project's metadata

To retrieve version specific metadata for a project (including any reported OSV vulnerabilities) the following example can be used.

Options: Either a wheel filename or the project's name and version can be provided to the constructor for version-specific metadata. If only the name is provided, only top-level metadata will be retrieved for the latest version.

In the example below, the wheel's filename is provided.

>>> from ppklib import PyPIQuery

>>> wheel = 'numpy-1.20.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl'
>>> pquery = PyPIQuery.metadata(wheel=wheel)

>>> # Display the project's metadata.
>>> pquery.data
{'author': 'Travis E. Oliphant et al.',
 'author_email': '',
 'name': 'numpy',
 'requires_dist': None,
 'summary': 'NumPy is the fundamental package for array computing with Python.',
 'version': '1.20.0',
 'license': 'BSD',
 'vulnerabilities': [{'aliases': ['CVE-2021-33430'],
   'details': 'A Buffer Overflow vulnerability exists in NumPy 1.9.x in the PyArray_NewFromDescr_int function of ctors.c when specifying arrays of large dimensions (over 32) from Python code, which could let a malicious user cause a Denial of Service.\n\nNOTE: The vendor does not agree this is a vulnerability; In (very limited) circumstances a user may be able provoke the buffer overflow, the user is most likely already privileged to at least provoke denial of service by exhausting memory. Triggering this further requires the use of uncommon API (complicated structured dtypes), which is very unlikely to be available to an unprivileged user.',
   'fixed_in': ['1.21'],
   'id': 'GHSA-6p56-wp2h-9hxr',
   'link': 'https://osv.dev/vulnerability/GHSA-6p56-wp2h-9hxr',
   'source': 'osv',
   'summary': None,
   'withdrawn': None},
  {'aliases': ['CVE-2021-34141'],
   'details': 'Incomplete string comparison in the numpy.core component in NumPy1.9.x, which allows attackers to fail the APIs via constructing specific string objects.',
   'fixed_in': ['1.22'],
   'id': 'GHSA-fpfv-jqm9-f5jm',
   'link': 'https://osv.dev/vulnerability/GHSA-fpfv-jqm9-f5jm',
   'source': 'osv',
   'summary': None,
   'withdrawn': None}],
 'latest_version': '2.2.6'}

>>> # Inspect the reported vulnerabilities (only).
>>> pquery.vulns
[{'aliases': ['CVE-2021-33430'],
  'details': 'A Buffer Overflow vulnerability exists in NumPy 1.9.x in the ...',
  'fixed_in': ['1.21'],
  'id': 'GHSA-6p56-wp2h-9hxr',
  'link': 'https://osv.dev/vulnerability/GHSA-6p56-wp2h-9hxr',
  'source': 'osv',
  'summary': None,
  'withdrawn': None},
 {'aliases': ['CVE-2021-34141'],
  'details': 'Incomplete string comparison in the numpy.core component in ...',
  'fixed_in': ['1.22'],
  'id': 'GHSA-fpfv-jqm9-f5jm',
  'link': 'https://osv.dev/vulnerability/GHSA-fpfv-jqm9-f5jm',
  'source': 'osv',
  'summary': None,
  'withdrawn': None}]