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#!/usr/bin/env python3
# SPDX-License-Identifier: CC0-1.0
#
# Copyright (C) 2024 Wojtek Kosior <koszko@koszko.org>
import yaml
import sys
CUTOFF_SCORE = 20
def read_APT_data(yaml_path):
if yaml_path:
with open(yaml_path) as inp:
return yaml.safe_load(inp)
else:
return yaml.safe_load(sys.stdin)
profiles_data = read_APT_data(None if len(sys.argv) < 2 else sys.argv[1])
groups_by_origin = {}
groups_by_techniques_by_origin = {}
for group in profiles_data["groups"]:
origin = group["origin"]
groups_by_origin[origin] = groups_by_origin.get(origin, []) + [group]
groups_by_technique = groups_by_techniques_by_origin.get(origin, {})
for tid in group["technique_ids"]:
groups_by_technique[tid] = groups_by_technique.get(tid, []) + [group]
groups_by_techniques_by_origin[origin] = groups_by_technique
def group_name_list(origin, tid):
return ", ".join(sorted(
g["name"]
for g in groups_by_techniques_by_origin[origin].get(tid, [])
))
def technique_use_percent(tid, origin):
return (100 * len(groups_by_techniques_by_origin[origin].get(tid, [])) /
len(groups_by_origin[origin]))
def technique_popularity_score(tid):
return sum(technique_use_percent(tid, origin)
for origin in groups_by_origin)
all_tids = sorted(set().union(*groups_by_techniques_by_origin.values()),
key=technique_popularity_score,
reverse=True)
all_tids = [tid for tid in all_tids
if technique_popularity_score(tid) >= CUTOFF_SCORE]
all_origins = sorted(groups_by_origin)
technique_names = dict((t["mitre_id"], t["name"])
for t in profiles_data["techniques"])
origin_heads = ' & '.join(
f"\\nohyphens{{\\bfseries {text}}}" for text in all_origins
)
head = f"""\
\\rowcolor{{gray!40}}
\\bfseries Technique & {origin_heads} & \\bfseries total APT count \\\\"""
print("""\
{
\\footnotesize
\\begin{longtable}{>{\\raggedright\\arraybackslash}p{1.2in} p{0.76in} p{0.76in} p{0.76in} p{0.76in} >{\centering\\arraybackslash} p{0.65in} }
\\rowcolor{white}
\\caption{\\nexttabcaption} \\label{\\nexttablabel} \\\\""")
print(head)
print("\\endfirsthead")
print(head)
print("""
\\endhead
\\rowcolor{white}
\\multicolumn{6}{r}{\\textit{Continued on next page}} \\\\
\\endfoot
\\endlastfoot""")
for tid in all_tids:
name = technique_names[tid]
group_count = sum([len(groups_by_techniques_by_origin[origin].get(tid, []))
for origin in all_origins])
name_href_markup = \
f"\\href{{https://attack.mitre.org/techniques/{tid}/}}{{{name}}}"
group_precents_markup = ' & '.join(
f"{round(technique_use_percent(tid, origin))}\\% groups"
for origin in all_origins
)
print(f"{name_href_markup} & {group_precents_markup} & {group_count} \\\\")
print("\\end{longtable}")
print("}")
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