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machinetag.py
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machinetag.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Python script parsing the MISP taxonomies expressed in Machine Tags (Triple
# Tags) to list all valid tags from a specific taxonomy.
#
# Copyright (c) 2015-2022 Alexandre Dulaunoy - [email protected]
#
# Redistribution and use in source and binary forms, with or without modification,
# are permitted provided that the following conditions are met:
#
# 1. Redistributions of source code must retain the above copyright notice,
# this list of conditions and the following disclaimer.
# 2. Redistributions in binary form must reproduce the above copyright notice,
# this list of conditions and the following disclaimer in the documentation
# and/or other materials provided with the distribution.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
# ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
# WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED.
# IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT,
# INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
# BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
# LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE
# OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED
# OF THE POSSIBILITY OF SUCH DAMAGE.
import json
import os.path
import argparse
import os
import sys
skip_list = ["death-possibilities", "poison-taxonomy", "doping-substances"]
taxonomies = []
# Get our current directory from file location
thisDir = os.path.dirname(__file__)
argParser = argparse.ArgumentParser(
description="Dump Machine Tags (Triple Tags) from MISP taxonomies",
epilog="Available taxonomies are {0}".format(taxonomies),
)
argParser.add_argument("-e", action="store_true", help="Include expanded tags")
argParser.add_argument(
"-a", action="store_true", help="Generate asciidoctor document from MISP taxonomies"
)
argParser.add_argument("-v", action="store_true", help="Include descriptions")
argParser.add_argument("-n", default=False, help="Show only the specified namespace")
argParser.add_argument(
"--disable-skip-list",
default=False,
action="store_true",
help="disable default skip list",
)
args = argParser.parse_args()
if args.disable_skip_list:
skip_list = ""
for folder in os.listdir(os.path.join(thisDir, "../")):
if os.path.isfile(os.path.join(thisDir, "../", folder, "machinetag.json")):
if folder in skip_list:
continue
taxonomies.append(folder)
taxonomies.sort()
doc = ""
if args.a:
dedication = "\n[dedication]\n== Funding and Support\nThe MISP project is financially and resource supported by https://www.circl.lu/[CIRCL Computer Incident Response Center Luxembourg ].\n\nimage:{images-misp}logo.png[CIRCL logo]\n\nA CEF (Connecting Europe Facility) funding under CEF-TC-2016-3 - Cyber Security has been granted from 1st September 2017 until 31th August 2019 as ***Improving MISP as building blocks for next-generation information sharing***.\n\nimage:{images-misp}en_cef.png[CEF funding]\n\nIf you are interested to co-fund projects around MISP, feel free to get in touch with us.\n\n"
doc = doc + ":toc: right\n"
doc = doc + ":toclevels: 1\n"
doc = doc + ":icons: font\n"
doc = (
doc
+ ":images-cdn: https://raw.githubusercontent.com/MISP/MISP/2.4/INSTALL/logos/\n"
)
doc = doc + ":images-misp: https://www.misp-project.org/assets/images/\n"
doc = doc + "= MISP taxonomies and classification as machine tags\n\n"
doc = doc + "= Introduction\n"
doc = doc + "\nimage::{images-cdn}misp-logo.png[MISP logo]\n"
doc = (
doc
+ "The MISP threat sharing platform is a free and open source software helping information sharing of threat intelligence including cyber security indicators, financial fraud or counter-terrorism information. The MISP project includes multiple sub-projects to support the operational requirements of analysts and improve the overall quality of information shared.\n\n"
)
doc = doc + ""
doc = "{} {} {} {}".format(
doc,
"\nTaxonomies that can be used in MISP (2.4) and other information sharing tool and expressed in Machine Tags (Triple Tags).",
"A machine tag is composed of a namespace (MUST), a predicate (MUST) and an (OPTIONAL) value.",
"Machine tags are often called triple tag due to their format.\n",
)
doc = (
doc
+ "The following document is generated from the machine-readable JSON describing the https://github.com/MISP/misp-taxonomies[MISP taxonomies]."
)
doc = doc + "\n\n"
doc = doc + "<<<\n"
doc = doc + dedication
doc = doc + "<<<\n"
doc = doc + "= MISP taxonomies\n"
doc = doc + "\n\n"
if args.n:
del taxonomies[:]
taxonomies.append(args.n)
def asciidoc(content=False, adoc=doc, t="title", toplevel=False):
if not args.a:
return False
adoc = adoc + "\n"
if t == "title":
content = "==== " + content
elif t == "predicate":
content = "=== " + content
elif t == "namespace":
content = "== " + content + "\n"
content = "{}\n{}{} {}{}{} {}".format(
content,
"NOTE: ",
namespace,
"namespace available in JSON format at https://github.com/MISP/misp-taxonomies/blob/main/",
namespace,
"/machinetag.json[*this location*]. The JSON format can be freely reused in your application",
"or automatically enabled in https://www.github.com/MISP/MISP[MISP] taxonomy.",
)
elif t == "description" and toplevel is True:
content = "\n{} \n".format(content)
elif t == "description" and toplevel is False:
try:
(n, value) = content.split(":", 1)
content = "\n{} \n".format(value)
except:
content = "\n{} \n".format(content)
elif t == "numerical_value":
(n, value) = content.split(":", 1)
content = '\nAssociated numerical value="{}" \n'.format(value)
elif t == "exclusive":
(n, value) = content.split(":", 1)
if n:
content = "\nIMPORTANT: Exclusive flag set which means the values or predicate below must be set exclusively.\n"
adoc = adoc + content
return adoc
def machineTag(namespace=False, predicate=False, value=None):
if namespace is False or predicate is False:
return None
if value is None:
return "{0}:{1}".format(namespace, predicate)
else:
return '{0}:{1}="{2}"'.format(namespace, predicate, value)
for taxonomy in taxonomies:
if taxonomy in skip_list:
sys.stderr.write(f"Skip {taxonomy}")
continue
filename = os.path.join(thisDir, "../", taxonomy, "machinetag.json")
with open(filename) as fp:
t = json.load(fp)
namespace = t["namespace"]
if t.get("expanded"):
expanded_namespace = t["expanded"]
else:
expanded_namespace = namespace
if args.a:
doc = asciidoc(content=t["namespace"], adoc=doc, t="namespace")
doc = asciidoc(
content=t["description"], adoc=doc, t="description", toplevel=True
)
if t.get("exclusive"):
doc = asciidoc(
content=machineTag(namespace=namespace, predicate=t["exclusive"]),
adoc=doc,
t="exclusive",
)
if args.v:
print("{0}".format(t["description"]))
for predicate in t["predicates"]:
if args.a:
doc = asciidoc(content=predicate["value"], adoc=doc, t="predicate")
if predicate.get("description"):
doc = asciidoc(
content=machineTag(
namespace=namespace, predicate=predicate["description"]
),
adoc=doc,
t="description",
)
if predicate.get("exclusive"):
doc = asciidoc(
content=machineTag(
namespace=namespace, predicate=predicate["exclusive"]
),
adoc=doc,
t="exclusive",
)
if t.get("values") is None:
if args.a:
doc = asciidoc(
content=machineTag(
namespace=namespace, predicate=predicate["value"]
),
adoc=doc,
)
doc = asciidoc(
content=machineTag(
namespace=namespace, predicate=predicate["expanded"]
),
adoc=doc,
t="description",
)
if predicate.get("description"):
doc = asciidoc(
content=machineTag(
namespace=namespace, predicate=predicate["description"]
),
adoc=doc,
t="description",
)
if predicate.get("numerical_value"):
doc = asciidoc(
content=machineTag(
namespace=namespace, predicate=predicate["numerical_value"]
),
adoc=doc,
t="description",
)
if predicate.get("exclusive"):
doc = asciidoc(
content=machineTag(
namespace=namespace, predicate=predicate["exclusive"]
),
adoc=doc,
t="exclusive",
)
else:
print(machineTag(namespace=namespace, predicate=predicate["value"]))
if args.e:
print(
"--> "
+ machineTag(
namespace=expanded_namespace, predicate=predicate["expanded"]
)
)
if predicate.get("description"):
print("--> " + predicate["description"])
else:
for e in t["values"]:
if e["predicate"] == predicate["value"]:
if "expanded" in predicate:
expanded = predicate["expanded"]
for v in e["entry"]:
if args.a and "expanded" in v:
doc = asciidoc(
content=machineTag(
namespace=namespace,
predicate=e["predicate"],
value=v["value"],
),
adoc=doc,
)
doc = asciidoc(
content=machineTag(
namespace=namespace, predicate=v["expanded"]
),
adoc=doc,
t="description",
)
if "description" in v:
doc = asciidoc(
content=machineTag(
namespace=namespace, predicate=v["description"]
),
adoc=doc,
t="description",
)
if v.get("numerical_value"):
doc = asciidoc(
content=machineTag(
namespace=namespace,
predicate=v["numerical_value"],
),
adoc=doc,
t="numerical_value",
)
else:
print(
machineTag(
namespace=namespace,
predicate=e["predicate"],
value=v["value"],
)
)
if args.e:
if "expanded" in v:
print(
"--> "
+ machineTag(
namespace=namespace,
predicate=expanded,
value=v["expanded"],
)
)
with open("../mapping/mapping.json") as mapping:
m = json.load(mapping)
output = "\n= Mapping of taxonomies\n"
output = "{}{}".format(
output,
"Analysts relying on taxonomies don't always know the appropriate namespace to use but know which value to use for classification. The MISP mapping taxonomy allows to map a single classification into a series of machine-tag synonyms.\n",
)
for value in sorted(m.keys()):
output = "{}{} **{}**{}{}\n".format(
output, "\n.Mapping table - ", value, "\n|===\n|", value
)
for mapped in m[value]["values"]:
output = "{}|{}\n".format(output, mapped)
output = "{}|===\n".format(output)
doc = doc + output
if args.a:
print(doc)