dnfile
Advanced tools
.. image:: https://github.com/malwarefrank/dnfile/actions/workflows/lint.yml/badge.svg :target: https://github.com/malwarefrank/dnfile/actions/workflows/lint.yml .. image:: https://img.shields.io/pypi/v/dnfile.svg :target: https://pypi.python.org/pypi/dnfile .. image:: https://img.shields.io/pypi/dm/dnfile :target: https://pypistats.org/packages/dnfile
Parse .NET executable files.
.. code-block:: shell
pip install dnfile
Then create a simple program that loads a .NET binary, parses it, and displays information about the streams and Metadata Tables.
.. code-block:: python
import sys import dnfile
filepath = sys.argv[1]
pe = dnfile.dnPE(filepath) pe.print_info()
Everything is an object, and raw structure values are stored in an object's "struct" attribute. The CLR directory entry object is accessible from the "net" attribute of a dnPE object.
.. code-block:: python
import dnfile
import hashlib
pe = dnfile.dnPE(FILEPATH)
# access the directory entry raw structure values
pe.net.struct
# access the metadata raw structure values
pe.net.metadata.struct
# access the streams
for s in pe.net.metadata.streams_list:
if isinstance(s, dnfile.stream.MetaDataTables):
# how many Metadata tables are defined in the binary?
num_of_tables = len(s.tables_list)
# the last Metadata tables stream can also be accessed by a shortcut
num_of_tables = len(pe.net.mdtables.tables_list)
# create a set to hold the hashes of all resources
res_hash = set()
# access the resources
for r in pe.net.resources:
# if resource data is a simple byte stream
if isinstance(r.data, bytes):
# hash it and add the hash to the set
res_hash.add(hashlib.sha256(r.data).hexdigest())
# if resource data is a ResourceSet, a dotnet-specific datatype
elif isinstance(r.data, dnfile.resource.ResourceSet):
# if there are no entries
if not r.data.entries:
# skip it
continue
# for each entry in the ResourceSet
for entry in r.data.entries:
# if it has data
if entry.data:
# hash it and add the hash to the set
res_hash.add(hashlib.sha256(entry.data).hexdigest())
This package was created with Cookiecutter_ and the audreyr/cookiecutter-pypackage_ project template.
.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _audreyr/cookiecutter-pypackage: https://github.com/audreyr/cookiecutter-pypackage
clr_lazy_load option for lazy loading Metadata tables and assembly resources#Schema stream as MetaDataTablesFAQs
Parse .NET executable files.
We found that dnfile demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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