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8df6aa0 d38f080 8df6aa0 d38f080 8df6aa0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 | #!/usr/bin/env python3
"""AppSecBench v1.1.0 statistics + summaries (CSV + JSON + Markdown charts)."""
import csv
import json
import os
from collections import Counter, OrderedDict
ROOT = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
DATASET_DIR = os.path.join(ROOT, "dataset")
STAT_DIR = os.path.join(ROOT, "statistics")
SPLITS = ("train", "validation", "test")
def load_all():
recs = []
for name in SPLITS:
with open(os.path.join(DATASET_DIR, f"{name}.jsonl"), encoding="utf-8") as f:
for line in f:
line = line.strip()
if line:
recs.append(json.loads(line))
return recs
def write_csv(path, rows, header):
with open(path, "w", newline="", encoding="utf-8") as f:
w = csv.writer(f)
w.writerow(header)
w.writerows(rows)
def bar(label, count, total, width=36):
n = max(1, int(round(count / max(total, 1) * width)))
return f"{label[:34]:<34} | {'#' * n} {count} ({count / max(total, 1) * 100:.0f}%)"
def main():
recs = load_all()
total = len(recs)
os.makedirs(STAT_DIR, exist_ok=True)
langs = Counter(r["language"] for r in recs)
fw = Counter(r["framework"] for r in recs if r["framework"] != "None")
sev = Counter(r["expected_severity"] for r in recs)
cwe = Counter(r["expected_cwe"] for r in recs)
owasp = Counter(r["expected_owasp"] for r in recs)
cat = Counter(r["category"] for r in recs)
diff = Counter(r["metadata"]["difficulty"] for r in recs)
vuln = Counter(r["vulnerability_name"] for r in recs)
app = Counter(r["application_type"] for r in recs)
conf = Counter(r["expected_confidence"] for r in recs)
src = Counter(r["source_type"] for r in recs)
# CVSS score buckets
buckets = Counter()
for r in recs:
s = r["expected_cvss_score"]
if s >= 9.0:
buckets["Critical (9.0-10.0)"] += 1
elif s >= 7.0:
buckets["High (7.0-8.9)"] += 1
elif s >= 4.0:
buckets["Medium (4.0-6.9)"] += 1
else:
buckets["Low (0.1-3.9)"] += 1
write_csv(os.path.join(STAT_DIR, "language_distribution.csv"),
[(k, v) for k, v in langs.most_common()], ["language", "count"])
write_csv(os.path.join(STAT_DIR, "framework_distribution.csv"),
[(k, v) for k, v in fw.most_common()], ["framework", "count"])
write_csv(os.path.join(STAT_DIR, "severity_distribution.csv"),
[(k, v) for k, v in sev.most_common()], ["severity", "count"])
write_csv(os.path.join(STAT_DIR, "cwe_distribution.csv"),
[(k, v) for k, v in cwe.most_common()], ["cwe", "count"])
write_csv(os.path.join(STAT_DIR, "owasp_distribution.csv"),
[(k, v) for k, v in owasp.most_common()], ["owasp", "count"])
write_csv(os.path.join(STAT_DIR, "category_distribution.csv"),
[(k, v) for k, v in cat.most_common()], ["category", "count"])
write_csv(os.path.join(STAT_DIR, "difficulty_distribution.csv"),
[(k, v) for k, v in diff.most_common()], ["difficulty", "count"])
write_csv(os.path.join(STAT_DIR, "vulnerability_distribution.csv"),
[(k, v) for k, v in vuln.most_common()], ["vulnerability", "count"])
write_csv(os.path.join(STAT_DIR, "application_type_distribution.csv"),
[(k, v) for k, v in app.most_common()], ["application_type", "count"])
write_csv(os.path.join(STAT_DIR, "cvss_score_distribution.csv"),
[(k, v) for k, v in buckets.most_common()], ["cvss_band", "count"])
write_csv(os.path.join(STAT_DIR, "confidence_distribution.csv"),
[(k, v) for k, v in conf.most_common()], ["confidence", "count"])
write_csv(os.path.join(STAT_DIR, "source_type_distribution.csv"),
[(k, v) for k, v in src.most_common()], ["source_type", "count"])
# Split sizes
split_sizes = OrderedDict()
for name in SPLITS:
with open(os.path.join(DATASET_DIR, f"{name}.jsonl")) as f:
split_sizes[name] = sum(1 for _ in f if _.strip())
summary = {
"name": "AppSecBench",
"version": "1.1.0",
"total_records": total,
"splits": split_sizes,
"languages": dict(langs),
"frameworks": dict(fw),
"categories": dict(cat),
"severities": dict(sev),
"cwes": dict(cwe),
"owasps": dict(owasp),
"difficulties": dict(diff),
"vulnerabilities": dict(vuln),
"application_types": dict(app),
"cvss_bands": dict(buckets),
"confidence": dict(conf),
"source_types": dict(src),
"unique_languages": len(langs),
"unique_frameworks": len(fw),
"unique_cwes": len(cwe),
"unique_owasps": len(owasp),
"unique_vulnerabilities": len(vuln),
"unique_categories": len(cat),
}
with open(os.path.join(STAT_DIR, "summary.json"), "w", encoding="utf-8") as f:
json.dump(summary, f, indent=2)
# Markdown charts
lines = [f"# AppSecBench — Statistics (v1.0.0)", "",
f"Total records: **{total}**", "",
f"Splits: train={split_sizes['train']}, validation={split_sizes['validation']}, test={split_sizes['test']}", "",
"## Language distribution", ""]
for k, v in langs.most_common():
lines.append(bar(k, v, total))
lines += ["", "## Framework distribution", ""]
for k, v in fw.most_common():
lines.append(bar(k, v, total))
lines += ["", "## Severity distribution", ""]
for k in ("Critical", "High", "Medium", "Low"):
if k in sev:
lines.append(bar(k, sev[k], total))
lines += ["", "## CVSS score band", ""]
for k, v in buckets.most_common():
lines.append(bar(k, v, total))
lines += ["", "## Category distribution", ""]
for k, v in cat.most_common():
lines.append(bar(k, v, total))
lines += ["", "## Vulnerability distribution", ""]
for k, v in vuln.most_common():
lines.append(bar(k, v, total))
lines += ["", "## OWASP distribution", ""]
for k, v in owasp.most_common():
lines.append(bar(k, v, total))
lines += ["", "## CWE distribution (top 20)", ""]
for k, v in cwe.most_common(20):
lines.append(bar(k, v, total))
lines += ["", "## Difficulty distribution", ""]
for k in ("Beginner", "Intermediate", "Advanced", "Expert", "Real-world enterprise"):
if k in diff:
lines.append(bar(k, diff[k], total))
lines += ["", "## Application type distribution", ""]
for k, v in app.most_common():
lines.append(bar(k, v, total))
lines += ["", "## Source type distribution", ""]
for k, v in src.most_common():
lines.append(bar(k, v, total))
with open(os.path.join(STAT_DIR, "statistics.md"), "w", encoding="utf-8") as f:
f.write("\n".join(lines))
print(f"Statistics written for {total} records -> {STAT_DIR}")
print(f"languages={len(langs)} frameworks={len(fw)} cwes={len(cwe)} owasps={len(owasp)} vulns={len(vuln)}")
if __name__ == "__main__":
main()
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