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

156 lines
5.7 KiB
Python

#!/usr/bin/env python3
"""Container image vulnerability scanning agent using Trivy CLI via subprocess."""
import argparse
import json
import logging
import os
import subprocess
import sys
from datetime import datetime
from typing import List
logging.basicConfig(level=logging.INFO, format="%(asctime)s [%(levelname)s] %(message)s")
logger = logging.getLogger(__name__)
def check_trivy_installed() -> bool:
"""Check if Trivy CLI is available."""
try:
result = subprocess.run(["trivy", "--version"], capture_output=True, text=True, timeout=10)
return result.returncode == 0
except FileNotFoundError:
return False
def scan_image(image: str, severity: str = "CRITICAL,HIGH",
ignore_unfixed: bool = True) -> dict:
"""Scan a container image for vulnerabilities using Trivy."""
cmd = ["trivy", "image", "--format", "json", "--severity", severity, image]
if ignore_unfixed:
cmd.append("--ignore-unfixed")
try:
result = subprocess.run(cmd, capture_output=True, text=True, timeout=300)
if result.stdout:
return json.loads(result.stdout)
except (subprocess.TimeoutExpired, json.JSONDecodeError) as exc:
logger.error("Trivy scan failed for %s: %s", image, exc)
return {}
def scan_image_misconfig(image: str) -> dict:
"""Scan a container image for misconfigurations."""
cmd = ["trivy", "image", "--format", "json", "--scanners", "misconfig", image]
try:
result = subprocess.run(cmd, capture_output=True, text=True, timeout=300)
if result.stdout:
return json.loads(result.stdout)
except (subprocess.TimeoutExpired, json.JSONDecodeError) as exc:
logger.error("Misconfig scan failed: %s", exc)
return {}
def scan_image_secrets(image: str) -> dict:
"""Scan a container image for embedded secrets."""
cmd = ["trivy", "image", "--format", "json", "--scanners", "secret", image]
try:
result = subprocess.run(cmd, capture_output=True, text=True, timeout=300)
if result.stdout:
return json.loads(result.stdout)
except (subprocess.TimeoutExpired, json.JSONDecodeError) as exc:
logger.error("Secret scan failed: %s", exc)
return {}
def generate_sbom(image: str, output_path: str) -> bool:
"""Generate SBOM in CycloneDX format for an image."""
cmd = ["trivy", "image", "--format", "cyclonedx", "--output", output_path, image]
try:
result = subprocess.run(cmd, capture_output=True, text=True, timeout=300)
return result.returncode == 0
except subprocess.TimeoutExpired:
return False
def parse_vuln_results(scan_data: dict) -> List[dict]:
"""Parse Trivy JSON output into structured vulnerability list."""
vulns = []
for result in scan_data.get("Results", []):
target = result.get("Target", "")
for vuln in result.get("Vulnerabilities", []):
vulns.append({
"target": target,
"vuln_id": vuln.get("VulnerabilityID", ""),
"pkg_name": vuln.get("PkgName", ""),
"installed": vuln.get("InstalledVersion", ""),
"fixed": vuln.get("FixedVersion", ""),
"severity": vuln.get("Severity", ""),
"title": vuln.get("Title", ""),
})
return vulns
def compute_summary(vulns: List[dict]) -> dict:
"""Compute severity summary from vulnerability list."""
summary = {"CRITICAL": 0, "HIGH": 0, "MEDIUM": 0, "LOW": 0}
for v in vulns:
sev = v.get("severity", "").upper()
if sev in summary:
summary[sev] += 1
summary["total"] = len(vulns)
fixable = sum(1 for v in vulns if v.get("fixed"))
summary["fixable"] = fixable
return summary
def scan_multiple_images(images: List[str], severity: str) -> dict:
"""Scan multiple container images and aggregate results."""
report = {"scan_date": datetime.utcnow().isoformat(), "images": []}
for image in images:
logger.info("Scanning %s...", image)
scan_data = scan_image(image, severity)
vulns = parse_vuln_results(scan_data)
report["images"].append({
"image": image, "vulnerabilities": vulns,
"summary": compute_summary(vulns),
})
totals = {"CRITICAL": 0, "HIGH": 0, "MEDIUM": 0, "LOW": 0, "total": 0}
for img in report["images"]:
for k in totals:
totals[k] += img["summary"].get(k, 0)
report["overall_summary"] = totals
return report
def main():
parser = argparse.ArgumentParser(description="Container Image Vulnerability Scanner (Trivy)")
parser.add_argument("--images", nargs="+", required=True, help="Container images to scan")
parser.add_argument("--severity", default="CRITICAL,HIGH", help="Severity filter")
parser.add_argument("--sbom", action="store_true", help="Generate SBOM for each image")
parser.add_argument("--output-dir", default=".", help="Output directory")
parser.add_argument("--output", default="trivy_report.json")
args = parser.parse_args()
if not check_trivy_installed():
logger.error("Trivy CLI not found. Install: https://aquasecurity.github.io/trivy/")
sys.exit(1)
os.makedirs(args.output_dir, exist_ok=True)
report = scan_multiple_images(args.images, args.severity)
if args.sbom:
for image in args.images:
sbom_name = image.replace("/", "_").replace(":", "_") + "_sbom.json"
sbom_path = os.path.join(args.output_dir, sbom_name)
generate_sbom(image, sbom_path)
out_path = os.path.join(args.output_dir, args.output)
with open(out_path, "w") as f:
json.dump(report, f, indent=2)
logger.info("Report saved to %s", out_path)
print(json.dumps(report["overall_summary"], indent=2))
if __name__ == "__main__":
main()