Claude 24f816b6a3
Consolidate 22 sibling repos into layered organism structure
Place useful parts of the surrounding repos into sica-fondt by layer, per the
body model (Ada = membrane; brain/endocrine/capabilities/knowledge non-Ada):

- brain/        LLM reasoning + providers (dapr, hermes, MoMoA)
- capabilities/ REPRAG sidecars: hermes tools/skills, dapr tools, parallel
                dispatch, A51 channels, and the OSINT cluster
- knowledge/    LORAG corpus: 754 cyber-skills, agency personas, secure-coding,
                MITRE ATT&CK data
- reference/    defensive threat-reference (C3, shhbruh doc) + AdaYaml parser

License handling: AGPL sources (worldosint, advanced_evolution, mercury,
Reticulum) and GPL DeTTECT are SPEC-only clean-room/port descriptions — no
copyleft code copied. MIT/Apache/data parts copied as working trees.

Safety: shhbruh escape/persistence material and C3 covert-C2 kept as reference
only, not wired into the running organism. See CONSOLIDATION.md.

https://claude.ai/code/session_01UehUqEXXJJCsHoA4voCU5c
2026-06-10 06:53:01 +00:00

176 lines
5.9 KiB
Python

#!/usr/bin/env python3
"""
AFL++ Fuzzing Results Analyzer
Parses AFL++ output directories and generates reports on
crash findings, corpus growth, and coverage statistics.
"""
import json
import os
import sys
from datetime import datetime
from pathlib import Path
from collections import defaultdict
def parse_fuzzer_stats(stats_file: str) -> dict:
stats = {}
if not os.path.exists(stats_file):
return stats
with open(stats_file) as f:
for line in f:
line = line.strip()
if ":" in line:
key, value = line.split(":", 1)
stats[key.strip()] = value.strip()
return stats
def count_files_in_dir(directory: str) -> int:
if not os.path.isdir(directory):
return 0
return len([f for f in os.listdir(directory) if f != "README.txt" and os.path.isfile(os.path.join(directory, f))])
def analyze_fuzzer_instance(instance_dir: str) -> dict:
name = os.path.basename(instance_dir)
stats = parse_fuzzer_stats(os.path.join(instance_dir, "fuzzer_stats"))
return {
"name": name,
"start_time": stats.get("start_time", ""),
"last_update": stats.get("last_update", ""),
"execs_done": int(stats.get("execs_done", 0)),
"execs_per_sec": float(stats.get("execs_per_sec", 0)),
"corpus_count": count_files_in_dir(os.path.join(instance_dir, "queue")),
"crashes_total": count_files_in_dir(os.path.join(instance_dir, "crashes")),
"hangs_total": count_files_in_dir(os.path.join(instance_dir, "hangs")),
"paths_total": int(stats.get("paths_total", 0)),
"paths_found": int(stats.get("paths_found", 0)),
"stability": stats.get("stability", ""),
"cycles_done": int(stats.get("cycles_done", 0)),
"bitmap_cvg": stats.get("bitmap_cvg", ""),
"command_line": stats.get("command_line", ""),
}
def collect_crash_info(instance_dir: str) -> list:
crashes_dir = os.path.join(instance_dir, "crashes")
crashes = []
if not os.path.isdir(crashes_dir):
return crashes
for fname in sorted(os.listdir(crashes_dir)):
if fname == "README.txt":
continue
fpath = os.path.join(crashes_dir, fname)
if os.path.isfile(fpath):
crashes.append({
"file": fname,
"path": fpath,
"size": os.path.getsize(fpath),
"instance": os.path.basename(instance_dir),
})
return crashes
def analyze_campaign(findings_dir: str) -> dict:
report = {
"findings_dir": findings_dir,
"analyzed_at": datetime.utcnow().isoformat() + "Z",
"instances": [],
"total_execs": 0,
"total_crashes": 0,
"total_hangs": 0,
"total_corpus": 0,
"all_crashes": [],
"avg_execs_per_sec": 0,
}
instance_dirs = []
for entry in sorted(os.listdir(findings_dir)):
full_path = os.path.join(findings_dir, entry)
if os.path.isdir(full_path) and os.path.exists(os.path.join(full_path, "fuzzer_stats")):
instance_dirs.append(full_path)
if not instance_dirs:
print(f"No fuzzer instances found in {findings_dir}")
return report
exec_speeds = []
for inst_dir in instance_dirs:
inst = analyze_fuzzer_instance(inst_dir)
report["instances"].append(inst)
report["total_execs"] += inst["execs_done"]
report["total_crashes"] += inst["crashes_total"]
report["total_hangs"] += inst["hangs_total"]
report["total_corpus"] += inst["corpus_count"]
if inst["execs_per_sec"] > 0:
exec_speeds.append(inst["execs_per_sec"])
crashes = collect_crash_info(inst_dir)
report["all_crashes"].extend(crashes)
if exec_speeds:
report["avg_execs_per_sec"] = round(sum(exec_speeds) / len(exec_speeds), 1)
return report
def print_report(report: dict) -> None:
print(f"\n{'='*60}")
print(f"AFL++ Fuzzing Campaign Report")
print(f"{'='*60}")
print(f"Findings directory: {report['findings_dir']}")
print(f"Analyzed at: {report['analyzed_at']}")
print(f"Fuzzer instances: {len(report['instances'])}")
print(f"\nAggregate Statistics:")
print(f" Total executions: {report['total_execs']:,}")
print(f" Avg exec/sec: {report['avg_execs_per_sec']:,.1f}")
print(f" Total corpus entries: {report['total_corpus']}")
print(f" Total unique crashes: {report['total_crashes']}")
print(f" Total hangs: {report['total_hangs']}")
print(f"\nInstance Details:")
for inst in report["instances"]:
print(f" {inst['name']:20s} | Execs: {inst['execs_done']:>12,} | "
f"Speed: {inst['execs_per_sec']:>8.1f}/s | "
f"Crashes: {inst['crashes_total']:3d} | "
f"Corpus: {inst['corpus_count']:5d} | "
f"Cycles: {inst['cycles_done']}")
if report["all_crashes"]:
print(f"\nCrash Files ({len(report['all_crashes'])} total):")
for crash in report["all_crashes"][:20]:
print(f" [{crash['instance']}] {crash['file']} ({crash['size']} bytes)")
if len(report["all_crashes"]) > 20:
print(f" ... and {len(report['all_crashes']) - 20} more")
verdict = "PASS" if report["total_crashes"] == 0 else "FAIL"
print(f"\nCI Verdict: {verdict}")
def main():
if len(sys.argv) < 2:
print("Usage: python process.py <findings_directory>")
sys.exit(1)
findings_dir = sys.argv[1]
if not os.path.isdir(findings_dir):
print(f"Directory not found: {findings_dir}")
sys.exit(1)
report = analyze_campaign(findings_dir)
print_report(report)
output = os.path.join(findings_dir, "campaign_report.json")
with open(output, "w") as f:
json.dump(report, f, indent=2, default=str)
print(f"\nReport saved to: {output}")
sys.exit(1 if report["total_crashes"] > 0 else 0)
if __name__ == "__main__":
main()