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Add documentation as Jupyter notebooks - Creating STIX Content - Serializing STIX Objects - Parsing STIX Content - Versioning
2017-09-15 15:53:00 +02:00
{
"cells": [
{
"cell_type": "code",
Add JSON syntax highlighting to docs' output cells Uses a hidden cell in the Jupyter notebook to monkeypatch print.
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"execution_count": 1,
Add documentation as Jupyter notebooks - Creating STIX Content - Serializing STIX Objects - Parsing STIX Content - Versioning
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"metadata": {
Include IPython notebooks in Sphinx docs Note: The first cell in each .ipynb file contains code to suppress tracebacks in output cells. Thus cells that generate exceptions will only output the error, without the traceback, which makes the documentation easier to read.
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"nbsphinx": "hidden"
Add documentation as Jupyter notebooks - Creating STIX Content - Serializing STIX Objects - Parsing STIX Content - Versioning
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},
"outputs": [],
"source": [
"# Delete this cell to re-enable tracebacks\n",
"import sys\n",
"ipython = get_ipython()\n",
"\n",
"def hide_traceback(exc_tuple=None, filename=None, tb_offset=None,\n",
" exception_only=False, running_compiled_code=False):\n",
" etype, value, tb = sys.exc_info()\n",
" return ipython._showtraceback(etype, value, ipython.InteractiveTB.get_exception_only(etype, value))\n",
"\n",
"ipython.showtraceback = hide_traceback"
]
},
Add JSON syntax highlighting to docs' output cells Uses a hidden cell in the Jupyter notebook to monkeypatch print.
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{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"nbsphinx": "hidden"
},
"outputs": [],
"source": [
"# JSON output syntax highlighting\n",
"from __future__ import print_function\n",
"from pygments import highlight\n",
"from pygments.lexers import JsonLexer\n",
"from pygments.formatters import HtmlFormatter\n",
"from IPython.display import HTML\n",
"\n",
"original_print = print\n",
"\n",
"def json_print(inpt):\n",
" string = str(inpt)\n",
" if string[0] == '{':\n",
" formatter = HtmlFormatter()\n",
" return HTML('<style type=\"text/css\">{}</style>{}'.format(\n",
" formatter.get_style_defs('.highlight'),\n",
" highlight(string, JsonLexer(), formatter)))\n",
" else:\n",
" original_print(inpt)\n",
"\n",
"print = json_print"
]
},
Add documentation as Jupyter notebooks - Creating STIX Content - Serializing STIX Objects - Parsing STIX Content - Versioning
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{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Creating STIX Content"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Creating STIX Domain Objects\n",
"\n",
"To create a STIX object, provide keyword arguments to the type's constructor:"
]
},
{
"cell_type": "code",
Add JSON syntax highlighting to docs' output cells Uses a hidden cell in the Jupyter notebook to monkeypatch print.
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"execution_count": 3,
Add documentation as Jupyter notebooks - Creating STIX Content - Serializing STIX Objects - Parsing STIX Content - Versioning
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"metadata": {},
"outputs": [
{
Add JSON syntax highlighting to docs' output cells Uses a hidden cell in the Jupyter notebook to monkeypatch print.
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".highlight .il { color: #666666 } /* Literal.Number.Integer.Long */</style><div class=\"highlight\"><pre><span></span><span class=\"p\">{</span>\n",
" <span class=\"nt\">&quot;type&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;indicator&quot;</span><span class=\"p\">,</span>\n",
Update _valid_refs doc and add test to v20 test suite
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" <span class=\"nt\">&quot;id&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;indicator--2f3d4926-163d-4aef-bcd2-19dea96916ae&quot;</span><span class=\"p\">,</span>\n",
" <span class=\"nt\">&quot;created&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;2019-05-13T13:14:48.509Z&quot;</span><span class=\"p\">,</span>\n",
" <span class=\"nt\">&quot;modified&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;2019-05-13T13:14:48.509Z&quot;</span><span class=\"p\">,</span>\n",
Add JSON syntax highlighting to docs' output cells Uses a hidden cell in the Jupyter notebook to monkeypatch print.
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" <span class=\"nt\">&quot;name&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;File hash for malware variant&quot;</span><span class=\"p\">,</span>\n",
" <span class=\"nt\">&quot;pattern&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;[file:hashes.md5 = &#39;d41d8cd98f00b204e9800998ecf8427e&#39;]&quot;</span><span class=\"p\">,</span>\n",
Update _valid_refs doc and add test to v20 test suite
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" <span class=\"nt\">&quot;valid_from&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;2019-05-13T13:14:48.509629Z&quot;</span><span class=\"p\">,</span>\n",
Ensure all guide doc output cells have [Out] label Fixes #105.
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" <span class=\"nt\">&quot;labels&quot;</span><span class=\"p\">:</span> <span class=\"p\">[</span>\n",
" <span class=\"s2\">&quot;malicious-activity&quot;</span>\n",
" <span class=\"p\">]</span>\n",
Add JSON syntax highlighting to docs' output cells Uses a hidden cell in the Jupyter notebook to monkeypatch print.
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"<span class=\"p\">}</span>\n",
"</pre></div>\n"
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"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
Add documentation as Jupyter notebooks - Creating STIX Content - Serializing STIX Objects - Parsing STIX Content - Versioning
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}
],
"source": [
"from stix2 import Indicator\n",
"\n",
"indicator = Indicator(name=\"File hash for malware variant\",\n",
" labels=[\"malicious-activity\"],\n",
" pattern=\"[file:hashes.md5 = 'd41d8cd98f00b204e9800998ecf8427e']\")\n",
"print(indicator)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Certain required attributes of all objects will be set automatically if not provided as keyword arguments:\n",
"\n",
"- If not provided, ``type`` will be set automatically to the correct type. You can also provide the type explicitly, but this is not necessary:"
]
},
{
"cell_type": "code",
Add JSON syntax highlighting to docs' output cells Uses a hidden cell in the Jupyter notebook to monkeypatch print.
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"execution_count": 4,
Ensure all guide doc output cells have [Out] label Fixes #105.
2018-04-05 22:44:44 +02:00
"metadata": {},
Add documentation as Jupyter notebooks - Creating STIX Content - Serializing STIX Objects - Parsing STIX Content - Versioning
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"outputs": [],
"source": [
"indicator2 = Indicator(type='indicator',\n",
" labels=[\"malicious-activity\"],\n",
" pattern=\"[file:hashes.md5 = 'd41d8cd98f00b204e9800998ecf8427e']\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Passing a value for ``type`` that does not match the class being constructed will cause an error:"
]
},
{
"cell_type": "code",
Add JSON syntax highlighting to docs' output cells Uses a hidden cell in the Jupyter notebook to monkeypatch print.
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"execution_count": 5,
Add documentation as Jupyter notebooks - Creating STIX Content - Serializing STIX Objects - Parsing STIX Content - Versioning
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"metadata": {},
"outputs": [
{
"ename": "InvalidValueError",
"evalue": "Invalid value for Indicator 'type': must equal 'indicator'.",
"output_type": "error",
"traceback": [
"\u001b[0;31mInvalidValueError\u001b[0m\u001b[0;31m:\u001b[0m Invalid value for Indicator 'type': must equal 'indicator'.\n"
]
}
],
"source": [
"indicator3 = Indicator(type='xxx',\n",
" labels=[\"malicious-activity\"],\n",
" pattern=\"[file:hashes.md5 = 'd41d8cd98f00b204e9800998ecf8427e']\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"- If not provided, ``id`` will be generated randomly. If you provide an\n",
" ``id`` argument, it must begin with the correct prefix:"
]
},
{
"cell_type": "code",
Add JSON syntax highlighting to docs' output cells Uses a hidden cell in the Jupyter notebook to monkeypatch print.
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"execution_count": 6,
Add documentation as Jupyter notebooks - Creating STIX Content - Serializing STIX Objects - Parsing STIX Content - Versioning
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"metadata": {},
"outputs": [
{
"ename": "InvalidValueError",
"evalue": "Invalid value for Indicator 'id': must start with 'indicator--'.",
"output_type": "error",
"traceback": [
"\u001b[0;31mInvalidValueError\u001b[0m\u001b[0;31m:\u001b[0m Invalid value for Indicator 'id': must start with 'indicator--'.\n"
]
}
],
"source": [
"indicator4 = Indicator(id=\"campaign--63ce9068-b5ab-47fa-a2cf-a602ea01f21a\",\n",
" labels=[\"malicious-activity\"],\n",
" pattern=\"[file:hashes.md5 = 'd41d8cd98f00b204e9800998ecf8427e']\")"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"For indicators, ``labels`` and ``pattern`` are required and cannot be set automatically. Trying to create an indicator that is missing one of these properties will result in an error:"
]
},
{
"cell_type": "code",
Add JSON syntax highlighting to docs' output cells Uses a hidden cell in the Jupyter notebook to monkeypatch print.
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"execution_count": 7,
Add documentation as Jupyter notebooks - Creating STIX Content - Serializing STIX Objects - Parsing STIX Content - Versioning
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"metadata": {},
"outputs": [
{
"ename": "MissingPropertiesError",
"evalue": "No values for required properties for Indicator: (labels, pattern).",
"output_type": "error",
"traceback": [
"\u001b[0;31mMissingPropertiesError\u001b[0m\u001b[0;31m:\u001b[0m No values for required properties for Indicator: (labels, pattern).\n"
]
}
],
"source": [
"indicator = Indicator()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"However, the required ``valid_from`` attribute on Indicators will be set to the current time if not provided as a keyword argument.\n",
"\n",
"Once created, the object acts like a frozen dictionary. Properties can be accessed using the standard Python dictionary syntax:"
]
},
{
"cell_type": "code",
Add JSON syntax highlighting to docs' output cells Uses a hidden cell in the Jupyter notebook to monkeypatch print.
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"execution_count": 8,
Add documentation as Jupyter notebooks - Creating STIX Content - Serializing STIX Objects - Parsing STIX Content - Versioning
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"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
Ensure all guide doc output cells have [Out] label Fixes #105.
2018-04-05 22:44:44 +02:00
"'File hash for malware variant'"
Add documentation as Jupyter notebooks - Creating STIX Content - Serializing STIX Objects - Parsing STIX Content - Versioning
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]
},
Add JSON syntax highlighting to docs' output cells Uses a hidden cell in the Jupyter notebook to monkeypatch print.
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"execution_count": 8,
Add documentation as Jupyter notebooks - Creating STIX Content - Serializing STIX Objects - Parsing STIX Content - Versioning
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"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"indicator['name']"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Or access properties using the standard Python attribute syntax:"
]
},
{
"cell_type": "code",
Add JSON syntax highlighting to docs' output cells Uses a hidden cell in the Jupyter notebook to monkeypatch print.
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"execution_count": 9,
Add documentation as Jupyter notebooks - Creating STIX Content - Serializing STIX Objects - Parsing STIX Content - Versioning
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"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
Ensure all guide doc output cells have [Out] label Fixes #105.
2018-04-05 22:44:44 +02:00
"'File hash for malware variant'"
Add documentation as Jupyter notebooks - Creating STIX Content - Serializing STIX Objects - Parsing STIX Content - Versioning
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]
},
Add JSON syntax highlighting to docs' output cells Uses a hidden cell in the Jupyter notebook to monkeypatch print.
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"execution_count": 9,
Add documentation as Jupyter notebooks - Creating STIX Content - Serializing STIX Objects - Parsing STIX Content - Versioning
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"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"indicator.name"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Attempting to modify any attributes will raise an error:"
]
},
{
"cell_type": "code",
Add JSON syntax highlighting to docs' output cells Uses a hidden cell in the Jupyter notebook to monkeypatch print.
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"execution_count": 10,
Add documentation as Jupyter notebooks - Creating STIX Content - Serializing STIX Objects - Parsing STIX Content - Versioning
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"metadata": {},
"outputs": [
{
"ename": "TypeError",
"evalue": "'Indicator' object does not support item assignment",
"output_type": "error",
"traceback": [
"\u001b[0;31mTypeError\u001b[0m\u001b[0;31m:\u001b[0m 'Indicator' object does not support item assignment\n"
]
}
],
"source": [
"indicator['name'] = \"This is a revised name\""
]
},
{
"cell_type": "code",
Add JSON syntax highlighting to docs' output cells Uses a hidden cell in the Jupyter notebook to monkeypatch print.
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"execution_count": 11,
Add documentation as Jupyter notebooks - Creating STIX Content - Serializing STIX Objects - Parsing STIX Content - Versioning
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"metadata": {},
"outputs": [
{
"ename": "ImmutableError",
"evalue": "Cannot modify 'name' property in 'Indicator' after creation.",
"output_type": "error",
"traceback": [
"\u001b[0;31mImmutableError\u001b[0m\u001b[0;31m:\u001b[0m Cannot modify 'name' property in 'Indicator' after creation.\n"
]
}
],
"source": [
"indicator.name = \"This is a revised name\""
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
Clean up documentation
2018-04-09 19:29:53 +02:00
"To update the properties of an object, see the [Versioning](versioning.ipynb) section."
Add documentation as Jupyter notebooks - Creating STIX Content - Serializing STIX Objects - Parsing STIX Content - Versioning
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]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Creating a Malware object follows the same pattern:"
]
},
{
"cell_type": "code",
Add JSON syntax highlighting to docs' output cells Uses a hidden cell in the Jupyter notebook to monkeypatch print.
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"execution_count": 12,
Add documentation as Jupyter notebooks - Creating STIX Content - Serializing STIX Objects - Parsing STIX Content - Versioning
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"metadata": {},
"outputs": [
{
Add JSON syntax highlighting to docs' output cells Uses a hidden cell in the Jupyter notebook to monkeypatch print.
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"data": {
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".highlight .il { color: #666666 } /* Literal.Number.Integer.Long */</style><div class=\"highlight\"><pre><span></span><span class=\"p\">{</span>\n",
" <span class=\"nt\">&quot;type&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;malware&quot;</span><span class=\"p\">,</span>\n",
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" <span class=\"nt\">&quot;id&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;malware--1f2aba70-f0ae-49cd-9267-6fcb1e43be67&quot;</span><span class=\"p\">,</span>\n",
" <span class=\"nt\">&quot;created&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;2019-05-13T13:15:04.698Z&quot;</span><span class=\"p\">,</span>\n",
" <span class=\"nt\">&quot;modified&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;2019-05-13T13:15:04.698Z&quot;</span><span class=\"p\">,</span>\n",
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" <span class=\"nt\">&quot;name&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;Poison Ivy&quot;</span><span class=\"p\">,</span>\n",
" <span class=\"nt\">&quot;labels&quot;</span><span class=\"p\">:</span> <span class=\"p\">[</span>\n",
" <span class=\"s2\">&quot;remote-access-trojan&quot;</span>\n",
" <span class=\"p\">]</span>\n",
"<span class=\"p\">}</span>\n",
"</pre></div>\n"
],
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"<IPython.core.display.HTML object>"
]
},
"execution_count": 12,
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"output_type": "execute_result"
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}
],
"source": [
"from stix2 import Malware\n",
"\n",
"malware = Malware(name=\"Poison Ivy\",\n",
" labels=['remote-access-trojan'])\n",
"print(malware)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
Add inter-documentation links So when users read the guide docs, they can click a link to go to a relevant section in the API reference.
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"As with indicators, the ``type``, ``id``, ``created``, and ``modified`` properties will be set automatically if not provided. For Malware objects, the ``labels`` and ``name`` properties must be provided.\n",
"\n",
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"You can see the full list of SDO classes [here](../api/v20/stix2.v20.sdo.rst)."
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]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Creating Relationships\n",
"\n",
"STIX 2 Relationships are separate objects, not properties of the object on either side of the relationship. They are constructed similarly to other STIX objects. The ``type``, ``id``, ``created``, and ``modified`` properties are added automatically if not provided. Callers must provide the ``relationship_type``, ``source_ref``, and ``target_ref`` properties."
]
},
{
"cell_type": "code",
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"execution_count": 13,
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"metadata": {},
"outputs": [
{
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".highlight .vm { color: #19177C } /* Name.Variable.Magic */\n",
".highlight .il { color: #666666 } /* Literal.Number.Integer.Long */</style><div class=\"highlight\"><pre><span></span><span class=\"p\">{</span>\n",
" <span class=\"nt\">&quot;type&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;relationship&quot;</span><span class=\"p\">,</span>\n",
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" <span class=\"nt\">&quot;id&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;relationship--80c174fa-36d1-47c2-9a9d-ce0c636bedcc&quot;</span><span class=\"p\">,</span>\n",
" <span class=\"nt\">&quot;created&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;2019-05-13T13:15:13.152Z&quot;</span><span class=\"p\">,</span>\n",
" <span class=\"nt\">&quot;modified&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;2019-05-13T13:15:13.152Z&quot;</span><span class=\"p\">,</span>\n",
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" <span class=\"nt\">&quot;relationship_type&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;indicates&quot;</span><span class=\"p\">,</span>\n",
Update _valid_refs doc and add test to v20 test suite
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" <span class=\"nt\">&quot;source_ref&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;indicator--2f3d4926-163d-4aef-bcd2-19dea96916ae&quot;</span><span class=\"p\">,</span>\n",
" <span class=\"nt\">&quot;target_ref&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;malware--1f2aba70-f0ae-49cd-9267-6fcb1e43be67&quot;</span>\n",
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"<span class=\"p\">}</span>\n",
"</pre></div>\n"
],
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"<IPython.core.display.HTML object>"
]
},
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"metadata": {},
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}
],
"source": [
"from stix2 import Relationship\n",
"\n",
"relationship = Relationship(relationship_type='indicates',\n",
" source_ref=indicator.id,\n",
" target_ref=malware.id)\n",
"print(relationship)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The ``source_ref`` and ``target_ref`` properties can be either the ID's of other STIX objects, or the STIX objects themselves. For readability, Relationship objects can also be constructed with the ``source_ref``, ``relationship_type``, and ``target_ref`` as positional (non-keyword) arguments:"
]
},
{
"cell_type": "code",
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"execution_count": 14,
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"metadata": {},
"outputs": [
{
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"data": {
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".highlight .vm { color: #19177C } /* Name.Variable.Magic */\n",
".highlight .il { color: #666666 } /* Literal.Number.Integer.Long */</style><div class=\"highlight\"><pre><span></span><span class=\"p\">{</span>\n",
" <span class=\"nt\">&quot;type&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;relationship&quot;</span><span class=\"p\">,</span>\n",
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" <span class=\"nt\">&quot;id&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;relationship--47395d23-dedd-45d4-8db1-c9ffaf44493d&quot;</span><span class=\"p\">,</span>\n",
" <span class=\"nt\">&quot;created&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;2019-05-13T13:15:16.566Z&quot;</span><span class=\"p\">,</span>\n",
" <span class=\"nt\">&quot;modified&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;2019-05-13T13:15:16.566Z&quot;</span><span class=\"p\">,</span>\n",
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" <span class=\"nt\">&quot;relationship_type&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;indicates&quot;</span><span class=\"p\">,</span>\n",
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" <span class=\"nt\">&quot;source_ref&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;indicator--2f3d4926-163d-4aef-bcd2-19dea96916ae&quot;</span><span class=\"p\">,</span>\n",
" <span class=\"nt\">&quot;target_ref&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;malware--1f2aba70-f0ae-49cd-9267-6fcb1e43be67&quot;</span>\n",
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"<span class=\"p\">}</span>\n",
"</pre></div>\n"
],
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"<IPython.core.display.HTML object>"
]
},
"execution_count": 14,
"metadata": {},
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}
],
"source": [
"relationship2 = Relationship(indicator, 'indicates', malware)\n",
"print(relationship2)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Creating Bundles\n",
"\n",
"STIX Bundles can be created by passing objects as arguments to the Bundle constructor. All required properties (``type``, ``id``, and ``spec_version``) will be set automatically if not provided, or can be provided as keyword arguments:"
]
},
{
"cell_type": "code",
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"metadata": {},
"outputs": [
{
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"data": {
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".highlight .vm { color: #19177C } /* Name.Variable.Magic */\n",
".highlight .il { color: #666666 } /* Literal.Number.Integer.Long */</style><div class=\"highlight\"><pre><span></span><span class=\"p\">{</span>\n",
" <span class=\"nt\">&quot;type&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;bundle&quot;</span><span class=\"p\">,</span>\n",
Update _valid_refs doc and add test to v20 test suite
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" <span class=\"nt\">&quot;id&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;bundle--388c9b2c-936c-420a-baa5-04f48d682a01&quot;</span><span class=\"p\">,</span>\n",
Add JSON syntax highlighting to docs' output cells Uses a hidden cell in the Jupyter notebook to monkeypatch print.
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" <span class=\"nt\">&quot;spec_version&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;2.0&quot;</span><span class=\"p\">,</span>\n",
" <span class=\"nt\">&quot;objects&quot;</span><span class=\"p\">:</span> <span class=\"p\">[</span>\n",
" <span class=\"p\">{</span>\n",
" <span class=\"nt\">&quot;type&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;indicator&quot;</span><span class=\"p\">,</span>\n",
Update _valid_refs doc and add test to v20 test suite
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" <span class=\"nt\">&quot;id&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;indicator--2f3d4926-163d-4aef-bcd2-19dea96916ae&quot;</span><span class=\"p\">,</span>\n",
" <span class=\"nt\">&quot;created&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;2019-05-13T13:14:48.509Z&quot;</span><span class=\"p\">,</span>\n",
" <span class=\"nt\">&quot;modified&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;2019-05-13T13:14:48.509Z&quot;</span><span class=\"p\">,</span>\n",
Add JSON syntax highlighting to docs' output cells Uses a hidden cell in the Jupyter notebook to monkeypatch print.
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" <span class=\"nt\">&quot;name&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;File hash for malware variant&quot;</span><span class=\"p\">,</span>\n",
" <span class=\"nt\">&quot;pattern&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;[file:hashes.md5 = &#39;d41d8cd98f00b204e9800998ecf8427e&#39;]&quot;</span><span class=\"p\">,</span>\n",
Update _valid_refs doc and add test to v20 test suite
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" <span class=\"nt\">&quot;valid_from&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;2019-05-13T13:14:48.509629Z&quot;</span><span class=\"p\">,</span>\n",
Ensure all guide doc output cells have [Out] label Fixes #105.
2018-04-05 22:44:44 +02:00
" <span class=\"nt\">&quot;labels&quot;</span><span class=\"p\">:</span> <span class=\"p\">[</span>\n",
" <span class=\"s2\">&quot;malicious-activity&quot;</span>\n",
" <span class=\"p\">]</span>\n",
Add JSON syntax highlighting to docs' output cells Uses a hidden cell in the Jupyter notebook to monkeypatch print.
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" <span class=\"p\">},</span>\n",
" <span class=\"p\">{</span>\n",
" <span class=\"nt\">&quot;type&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;malware&quot;</span><span class=\"p\">,</span>\n",
Update _valid_refs doc and add test to v20 test suite
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" <span class=\"nt\">&quot;id&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;malware--1f2aba70-f0ae-49cd-9267-6fcb1e43be67&quot;</span><span class=\"p\">,</span>\n",
" <span class=\"nt\">&quot;created&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;2019-05-13T13:15:04.698Z&quot;</span><span class=\"p\">,</span>\n",
" <span class=\"nt\">&quot;modified&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;2019-05-13T13:15:04.698Z&quot;</span><span class=\"p\">,</span>\n",
Add JSON syntax highlighting to docs' output cells Uses a hidden cell in the Jupyter notebook to monkeypatch print.
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" <span class=\"nt\">&quot;name&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;Poison Ivy&quot;</span><span class=\"p\">,</span>\n",
" <span class=\"nt\">&quot;labels&quot;</span><span class=\"p\">:</span> <span class=\"p\">[</span>\n",
" <span class=\"s2\">&quot;remote-access-trojan&quot;</span>\n",
" <span class=\"p\">]</span>\n",
" <span class=\"p\">},</span>\n",
" <span class=\"p\">{</span>\n",
" <span class=\"nt\">&quot;type&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;relationship&quot;</span><span class=\"p\">,</span>\n",
Update _valid_refs doc and add test to v20 test suite
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" <span class=\"nt\">&quot;id&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;relationship--80c174fa-36d1-47c2-9a9d-ce0c636bedcc&quot;</span><span class=\"p\">,</span>\n",
" <span class=\"nt\">&quot;created&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;2019-05-13T13:15:13.152Z&quot;</span><span class=\"p\">,</span>\n",
" <span class=\"nt\">&quot;modified&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;2019-05-13T13:15:13.152Z&quot;</span><span class=\"p\">,</span>\n",
Add JSON syntax highlighting to docs' output cells Uses a hidden cell in the Jupyter notebook to monkeypatch print.
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" <span class=\"nt\">&quot;relationship_type&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;indicates&quot;</span><span class=\"p\">,</span>\n",
Update _valid_refs doc and add test to v20 test suite
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" <span class=\"nt\">&quot;source_ref&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;indicator--2f3d4926-163d-4aef-bcd2-19dea96916ae&quot;</span><span class=\"p\">,</span>\n",
" <span class=\"nt\">&quot;target_ref&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;malware--1f2aba70-f0ae-49cd-9267-6fcb1e43be67&quot;</span>\n",
Add JSON syntax highlighting to docs' output cells Uses a hidden cell in the Jupyter notebook to monkeypatch print.
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" <span class=\"p\">}</span>\n",
" <span class=\"p\">]</span>\n",
"<span class=\"p\">}</span>\n",
"</pre></div>\n"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
Add documentation as Jupyter notebooks - Creating STIX Content - Serializing STIX Objects - Parsing STIX Content - Versioning
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}
],
"source": [
"from stix2 import Bundle\n",
"\n",
"bundle = Bundle(indicator, malware, relationship)\n",
"print(bundle)"
]
Add documentation for _valid_refs
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},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Creating Cyber Observable References\n",
Update _valid_refs doc and add test to v20 test suite
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"Cyber Observable Objects have properties that can reference other Cyber Observable Objects. In order to create those references, use the ``_valid_refs`` property as shown in the following examples. It should be noted that ``_valid_refs`` is necessary when creating references to Cyber Observable Objects since some embedded references can only point to certain types, and ``_valid_refs`` helps ensure consistency. \n",
"\n",
"There are two cases."
Add documentation for _valid_refs
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]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Case 1: Specifying the type of the Cyber Observable Objects being referenced\n",
"In the following example, the IPv4Address object has its ``resolves_to_refs`` property specified. As per the spec, this property's value must be a list of reference(s) to MACAddress objects. In this case, those references are strings that state the type of the Cyber Observable Object being referenced, and are provided in ``_valid_refs``."
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
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" <span class=\"nt\">&quot;type&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;ipv4-addr&quot;</span><span class=\"p\">,</span>\n",
" <span class=\"nt\">&quot;value&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;177.60.40.7&quot;</span><span class=\"p\">,</span>\n",
" <span class=\"nt\">&quot;resolves_to_refs&quot;</span><span class=\"p\">:</span> <span class=\"p\">[</span>\n",
" <span class=\"s2\">&quot;1&quot;</span><span class=\"p\">,</span>\n",
" <span class=\"s2\">&quot;2&quot;</span>\n",
" <span class=\"p\">]</span>\n",
"<span class=\"p\">}</span>\n",
"</pre></div>\n"
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},
"execution_count": 16,
"metadata": {},
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}
],
"source": [
"from stix2 import IPv4Address\n",
"\n",
"ip4 = IPv4Address(\n",
" _valid_refs={\"1\": \"mac-addr\", \"2\": \"mac-addr\"},\n",
" value=\"177.60.40.7\",\n",
" resolves_to_refs=[\"1\", \"2\"]\n",
")\n",
"\n",
"print(ip4)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"#### Case 2: Specifying the name of the Cyber Observable Objects being referenced\n",
"The following example is just like the one provided in Case 1 above, with one key difference: instead of using strings to specify the type of the Cyber Observable Objects being referenced in ``_valid_refs``, the referenced Cyber Observable Objects are created beforehand and then their names are provided in ``_valid_refs``."
]
},
{
"cell_type": "code",
Updated documentation for _valid_refs
2019-05-10 18:30:52 +02:00
"execution_count": 17,
Add documentation for _valid_refs
2019-05-10 17:54:59 +02:00
"metadata": {},
Updated documentation for _valid_refs
2019-05-10 18:30:52 +02:00
"outputs": [
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".highlight .mi { color: #666666 } /* Literal.Number.Integer */\n",
".highlight .mo { color: #666666 } /* Literal.Number.Oct */\n",
".highlight .sa { color: #BA2121 } /* Literal.String.Affix */\n",
".highlight .sb { color: #BA2121 } /* Literal.String.Backtick */\n",
".highlight .sc { color: #BA2121 } /* Literal.String.Char */\n",
".highlight .dl { color: #BA2121 } /* Literal.String.Delimiter */\n",
".highlight .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */\n",
".highlight .s2 { color: #BA2121 } /* Literal.String.Double */\n",
".highlight .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */\n",
".highlight .sh { color: #BA2121 } /* Literal.String.Heredoc */\n",
".highlight .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */\n",
".highlight .sx { color: #008000 } /* Literal.String.Other */\n",
".highlight .sr { color: #BB6688 } /* Literal.String.Regex */\n",
".highlight .s1 { color: #BA2121 } /* Literal.String.Single */\n",
".highlight .ss { color: #19177C } /* Literal.String.Symbol */\n",
".highlight .bp { color: #008000 } /* Name.Builtin.Pseudo */\n",
".highlight .fm { color: #0000FF } /* Name.Function.Magic */\n",
".highlight .vc { color: #19177C } /* Name.Variable.Class */\n",
".highlight .vg { color: #19177C } /* Name.Variable.Global */\n",
".highlight .vi { color: #19177C } /* Name.Variable.Instance */\n",
".highlight .vm { color: #19177C } /* Name.Variable.Magic */\n",
".highlight .il { color: #666666 } /* Literal.Number.Integer.Long */</style><div class=\"highlight\"><pre><span></span><span class=\"p\">{</span>\n",
" <span class=\"nt\">&quot;type&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;ipv4-addr&quot;</span><span class=\"p\">,</span>\n",
" <span class=\"nt\">&quot;value&quot;</span><span class=\"p\">:</span> <span class=\"s2\">&quot;177.60.40.7&quot;</span><span class=\"p\">,</span>\n",
" <span class=\"nt\">&quot;resolves_to_refs&quot;</span><span class=\"p\">:</span> <span class=\"p\">[</span>\n",
" <span class=\"s2\">&quot;1&quot;</span><span class=\"p\">,</span>\n",
" <span class=\"s2\">&quot;2&quot;</span>\n",
" <span class=\"p\">]</span>\n",
"<span class=\"p\">}</span>\n",
"</pre></div>\n"
],
"text/plain": [
"<IPython.core.display.HTML object>"
]
},
"execution_count": 17,
"metadata": {},
"output_type": "execute_result"
}
],
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"source": [
"from stix2 import MACAddress\n",
"\n",
"mac_addr_a = MACAddress(value=\"a1:b2:c3:d4:e5:f6\")\n",
"mac_addr_b = MACAddress(value=\"a7:b8:c9:d0:e1:f2\")\n",
"\n",
"ip4_valid_refs = IPv4Address(\n",
" _valid_refs={\"1\": mac_addr_a, \"2\": mac_addr_b},\n",
" value=\"177.60.40.7\",\n",
" resolves_to_refs=[\"1\", \"2\"]\n",
")\n",
"\n",
"print(ip4_valid_refs)"
]
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}
],
"metadata": {
"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
"language_info": {
"codemirror_mode": {
"name": "ipython",
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"version": 3
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},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.6.7"
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}
},
"nbformat": 4,
"nbformat_minor": 2
}