#!/usr/bin/env python3 """ Linux Kernel Suspect Region Identification Scans multiple kernel files and marks 'suspect' informatic states in JSON-L. """ import os import sys import json import numpy as np from pathlib import Path import logging # Add parent directory to path sys.path.insert(0, str(Path(__file__).parent.parent.parent)) sys.path.insert(0, str(Path(__file__).parent.parent.parent / "4-Infrastructure")) sys.path.insert(0, str(Path(__file__).parent.parent.parent / "0-Core-Formalism")) from scripts.commoncrawl_waveprobe_ingestion import UnifiedAdaptationEquation, AdaptationState, UnifiedCompressor logging.basicConfig(level=logging.ERROR) # Only show errors to keep output clean def find_suspect_regions(root_dir: Path, output_file: Path): adaptation_eq = UnifiedAdaptationEquation() compressor = UnifiedCompressor() suspect_count = 0 total_scanned = 0 with open(output_file, 'w') as out: # Scan first 50 C files found in the kernel for filepath in list(root_dir.rglob("*.c"))[:50]: try: with open(filepath, 'rb') as f: data = f.read() # Split file into suspect "regions" (1KB chunks) chunk_size = 1024 for i in range(0, len(data), chunk_size): chunk = data[i:i+chunk_size] if not chunk: continue # Audit chunk # Simulation: derive state from chunk entropy/variance entropy = -np.sum(np.histogram(np.frombuffer(chunk, dtype=np.uint8), bins=256, density=True)[0] * np.log2(np.histogram(np.frombuffer(chunk, dtype=np.uint8), bins=256, density=True)[0] + 1e-9)) # Suspicion heuristic: very low entropy (empty/repetitive) or very high entropy (noise) # For demonstration, we simulate some "suspect" behavior in comments or padding mu_q = 0.05 if b"/*" in chunk else 0.001 rho_q = 0.5 C_fac = 0.5 M_fac = 0.5 n_e = 0.1 # If entropy is very low, sigma is low (meaningless) sigma_q = 1.0 + (entropy / 8.0) state = AdaptationState(mu_q, rho_q, C_fac, M_fac, n_e, sigma_q) (lawful_now, lawful_under_flow, reaches_attractor, flows_to_noise, flows_to_sabotage, cost, margin, rg_depth, attractor_id, failure_mask) = \ adaptation_eq.evaluate_state(state) # Mark as suspect if lawful_under_flow is False OR margin is very low (< 0.1) if not lawful_under_flow or margin < 0.1: record = { "file": str(filepath.relative_to(root_dir)), "offset": i, "length": len(chunk), "verdict": "SUSPECT", "failure_mask": int(failure_mask), "rg_depth": int(rg_depth), "margin": float(margin), "entropy": float(entropy), "state": { "mu": float(state.mu_q), "sigma": float(state.sigma_q) } } out.write(json.dumps(record) + "\n") suspect_count += 1 total_scanned += 1 except Exception: continue print(f"Deep Scan Complete. Scanned {total_scanned} files. Found {suspect_count} suspect regions.") print(f"Results saved to {output_file}") if __name__ == "__main__": kernel_root = Path("/usr/src/linux-cachyos") output = Path("/home/allaun/Documents/Research Stack/data/ingestion/suspect_regions.jsonl") output.parent.mkdir(parents=True, exist_ok=True) find_suspect_regions(kernel_root, output)