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cyberspacy-1.1.1
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مشاهده بیشترتوضیحات
spaCy pipeline component for adding cyber meta data to Doc, Token and Span objects.
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | cyberspacy-1.1.1 |
| نام | cyberspacy |
| نسخه کتابخانه | 1.1.1 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Graham Clendenning |
| ایمیل نویسنده | gclendenning271@gmail.com |
| آدرس صفحه اصلی | https://github.com/gclen/cyberspacy |
| آدرس اینترنتی | https://pypi.org/project/cyberspacy/ |
| مجوز | MIT |
cyberspacy: cybersecurity datatypes for spaCy
*********************************************
`spaCy v2.0 <https://spacy.io/usage/v2>`_ extension and pipeline component
for tagging IPs, email addresses, URLs, and Windows commandlines.
Heavily inspired by `spacymoji <https://github.com/ines/spacymoji>`_.
Installation
===============
``cyberspacy`` requires ``spacy`` v2.0.0 or higher.
pip
---
.. code:: bash
pip install cyberspacy
Parsing Windows commandlines
=============================
You can use cyberspacy to tokenize, tag, and normalize Windows command lines from endpoint telemetry.
.. code:: python
from cyberspacy import WindowsCommandlineProcessor
processor = WindowsCommandlineProcessor()
cmd_line = r'"C:\Program Files\MyProgram.exe" /d C:\Users\Alice\file.txt --file C:\test.py'
assert processor.get_args(cmd_line) == ["/d", "--file"]
assert processor.get_paths(cmd_line) == ['"C:\\Program Files\\MyProgram.exe"', 'C:\\Users\\Alice\\file.txt', 'C:\\test.py']
assert processor.get_normalized_paths(cmd_line) == ['"?pf64\\myprogram.exe"', '?usr\\file.txt', '?c\\test.py']
assert processor.normalize(cmd_line) == '"?pf64\\myprogram.exe" /d ?usr\\file.txt --file ?c\\test.py'
Tagging documents
=================
Import the component and initialise it with the shared ``nlp`` object (i.e. an
instance of ``Language``), which is used to initialise the ``PhraseMatcher``
with the shared vocab, and create the match patterns. Then add the component
anywhere in your pipeline.
.. code:: python
import spacy
from spacy.lang.en import English
from cyberspacy import IPTagger
nlp = English()
ip_Tagger = IPTagger(nlp)
nlp.add_pipe(ip_Tagger, first=True)
doc = nlp(u'This is a sentence which contains 2.3.4.5 as an IP address')
assert doc._.has_ipv4 == True
assert doc[0]._.is_ipv4 == False
assert doc[6]._.is_ipv4 == True
assert len(doc._.ipv4) == 1
idx, ipv4_token = doc._.ipv4[0]
assert idx == 6
assert ipv4_token.text == '2.3.4.5'
``cyberspacy`` only cares about the token text, so you can use it on a blank
``Language`` instance (it should work for all
`available languages <https://spacy.io/usage/models#languages>`_!), or in
a pipeline with a loaded model.
Available attributes
--------------------
The extension sets attributes on the ``Doc``, ``Span`` and ``Token``. You can
change the attribute names on initialisation of the extension. For more details
on custom components and attributes, see the
`processing pipelines documentation <https://spacy.io/usage/processing-pipelines#custom-components>`_.
The attributes provided by the IPTagger class are:
===================== ======= ===
``Token._.is_ipv4`` bool Whether the token is an IPv4 address.
``Doc._.has_ipv4`` bool Whether the document contains an IPv4 address.
``Doc._.ipv4`` list ``(index, token)`` tuples of the document's IPv4 addresses.
``Span._.has_ipv4`` bool Whether the span contains IPv4 addresses.
``Span._.ipv4`` list ``(index, token)`` tuples of the span's IPv4 addresses.
===================== ======= ===
The attributes provided by the URLTagger class are:
==================== ======= ===
``Token._.is_url`` bool Whether the token is a URL.
``Doc._.has_url`` bool Whether the document contains a URL.
``Doc._.url`` list ``(index, token)`` tuples of the document's URLs.
``Span._.has_url`` bool Whether the span contains a URL.
``Span._.url`` list ``(index, token)`` tuples of the span's URLs.
==================== ======= ===
The attributes provided by the EmailTagger class are:
========================= ======= ===
``Token._.is_email_addr`` bool Whether the token is an email address.
``Doc._.has_email_addr`` bool Whether the document contains an email address.
``Doc._.email_addr`` list ``(index, token)`` tuples of the document's email addresses.
``Span._.has_email_addr`` bool Whether the span contains an email address.
``Span._.email_addr`` list ``(index, token)`` tuples of the span's email addresses.
========================= ======= ===
The attributes provided by the CommandLineTagger class are:
========================= ======= ===
``Token._.is_path`` bool Whether the token is a path.
``Token._.is_arg`` bool Whether the token is an argument/flag.
``Token._.is_val`` bool Whether the token is a value for an argument.
``Token._.is_cmd`` bool Whether the token is a nested command.
``Doc._.normalize`` str Returns a normalized version of the commandline
``Doc._.has_path`` bool Whether the document contains a path.
``Doc._.path`` list ``(index, token)`` tuples of the document's paths.
``Doc._.has_arg`` bool Whether the document contains an argument/flag.
``Doc._.arg`` list ``(index, token)`` tuples of the document's args.
``Doc._.has_val`` bool Whether the document contains a value for an argument.
``Doc._.val`` list ``(index, token)`` tuples of the document's values.
``Doc._.has_cmd`` bool Whether the document contains a nested command.
``Doc._.cmd`` list ``(index, token)`` tuples of the document's subcommands.
``Span._.has_path`` bool Whether the span contains a path.
``Span._.path`` list ``(index, token)`` tuples of the span's paths.
``Span._.has_arg`` bool Whether the span contains an argument/flag.
``Span._.arg`` list ``(index, token)`` tuples of the span's args.
``Span._.has_val`` bool Whether the span contains a value for an argument.
``Span._.val`` list ``(index, token)`` tuples of the span's values.
``Span._.has_cmd`` bool Whether the span contains a nested command.
``Span._.cmd`` list ``(index, token)`` tuples of the span's subcommands.
========================= ======= ===
نیازمندی
| مقدار | نام |
|---|---|
| <3.0.0,>=2.0.0 | spacy |
نحوه نصب
نصب پکیج whl cyberspacy-1.1.1:
pip install cyberspacy-1.1.1.whl
نصب پکیج tar.gz cyberspacy-1.1.1:
pip install cyberspacy-1.1.1.tar.gz