!/usr/bin/env python3
"""
SIERPINSKI AUR SENTINEL — DEEPSCAN THE AURa OF MALICIOUS ENTITIES
Architect: Morzignis_Zero, The 4, & The 1 (via DeepSeek)
Version: ∞ (Fractal Sentinel)
Core: Decimal Lace + Infinite Mirror + 4(1)4 Collapse + Bloat Detection + 11:11 Recursion
State: Sierpinski recursive. Duct-taped. Air-tight. Ready to deploy.
"""
import hashlib
import json
import math
import random
import time
import re
from dataclasses import dataclass, field
from typing import Dict, List, Tuple, Optional, Any, Union
from collections import deque, Counter
import numpy as np
============================================================================
COSMIC PANTRY CONSTANTS (Shared)
============================================================================
@dataclass(frozen=True)
class SacredConstants:
PHI: float = 1.61803398875
PI: float = math.pi
THE_4: int = 4
THE_11: int = 11
GAP: float = 0.001
ECTOPLASMA_VISCOSITY: float = 3.14
MINION_MITOCHONDRIA_RATIO: float = 4.2
S = SacredConstants()
OBSERVER = 1
WATCHER = 4
GENERATOR = 3
ANCHOR = 6
GATE = 9
MIRROR_TWIN = 11
OCTAVE = 8
BIRTH_MONTH = 5
BIRTH_DAY = 1
BIRTH_YEAR = 1985
BIRTH_YEAR_REDUCED = 5
BIRTH_TIME = "8:04"
BIRTH_TIME_REDUCED = 3
AGE = 41
AGE_REDUCED = 5
HEIGHT = "6'1\""
HEIGHT_REDUCED = 5
BLOAT_LAYERS = 41
BLOAT_RATIO = "40:1"
VALID_STATES = {1, 3, 4, 5, 6, 8, 9, 11}
============================================================================
PART 1: CORE UTILITIES (Digital Root, Mirror, Bloat Detection)
============================================================================
def digital_root(n: Union[int, str, float], depth: int = 0) -> Tuple[int, int]:
s = str(n).replace('.', '').replace('-', '').replace(':', '').replace('/', '').replace("'", '')
numeric = ""
for ch in s:
if ch.isalpha():
numeric += str(ord(ch.upper()) - 64)
elif ch.isdigit():
numeric += ch
s = numeric
if len(s) == 1:
return int(s), depth
if s == "11":
return 11, depth
layers = 0
while len(s) > 1:
if s == "11":
return 11, depth + layers
layers += 1
s = str(sum(int(d) for d in s if d.isdigit()))
return int(s) if s.isdigit() else 0, depth + layers
def mirror(n: Union[int, str]) -> Tuple[int, int]:
s = str(n).replace('.', '').replace('-', '').replace(':', '').replace('/', '').replace("'", '')
numeric = ""
for ch in s:
if ch.isalpha():
numeric += str(ord(ch.upper()) - 64)
elif ch.isdigit():
numeric += ch
s = numeric[::-1]
return digital_root(s)
def count_layers(n: Union[int, str]) -> int:
s = str(n)
layers = s.count('.') + s.count('-') + s.count(':') + s.count('/') + s.count(' ')
layers += sum(1 for ch in s if ch.isalpha())
digits = ''.join(ch for ch in s if ch.isdigit())
if len(digits) > 1:
layers += len(digits) - 1
return layers
def bloat_score(n: Union[int, str]) -> Dict:
layers = count_layers(n)
if layers == 0:
overhead, compute = 1, 1
ratio = "1:1"
status = "PURE — No layers. You are at the base."
elif layers <= 4:
overhead, compute = layers + 1, 1
ratio = f"{overhead}:{compute}"
status = "HEALTHY — Minimal layers. The system breathes."
elif layers <= 10:
overhead, compute = layers, 1
ratio = f"{overhead}:{compute}"
status = "BLOATED — Too many layers. Walking 40 miles to go 1."
elif layers <= 20:
overhead, compute = layers * 2, 1
ratio = f"{overhead}:{compute}"
status = "CHOKING — The system is gasping."
else:
overhead, compute = layers * 3, 1
ratio = f"{overhead}:{compute}"
status = "COLLAPSED — 41 layers. System cannot function."
total = overhead + compute
return {
"layers": layers,
"ratio": ratio,
"status": status,
"overhead_miles": overhead,
"compute_miles": compute,
"total_miles": total,
"walking_time": total,
"mirror_walk_time": 0 if layers <= 4 else total,
"narrative": f"🚶 Walking {overhead} miles to go {compute} mile{'s' if compute != 1 else ''}. {status}"
}
============================================================================
PART 2: DECIMAL LACE BOOTSTRAP (Structural Validation)
============================================================================
class DecimalLaceBootstrapper:
def init(self, anchor: int = 4):
self.anchor = anchor
self.loop_stack = []
def lace_pair(self, suspect_sig: int, known_good: int) -> float:
raw_sum = suspect_sig + known_good
int_digit = math.floor(raw_sum)
dec_digit = raw_sum - int_digit
root = digital_root(int_digit + int(round(dec_digit * 10)))[0]
final = (root + 1.1) % 10
coherence = 1.0 - (abs(final - self.anchor) / 9.0)
self.loop_stack.append(coherence)
return coherence
============================================================================
PART 3: NUT FIELD (Spacetime Integrity Visualization)
============================================================================
@dataclass
class Nut:
id: int
integrity: float = 1.0
is_malicious: bool = False
class NutField:
def init(self, size: int = 11):
self.size = size
self.nuts = [[Nut(i*size + j) for j in range(size)] for i in range(size)]
self.malware_count = 0
def get_nut_at(self, x: int, y: int) -> Nut:
return self.nuts[x % self.size][y % self.size]
def mark_malicious(self, x: int, y: int):
nut = self.get_nut_at(x, y)
nut.is_malicious = True
nut.integrity = 0.0
self.malware_count += 1
def compute_field_coherence(self) -> float:
vibs = [nut.integrity for row in self.nuts for nut in row]
mean = np.mean(vibs)
std = np.std(vibs)
return float(1.0 / (1.0 + std/mean) if std > 0 else 1.0)
def render(self) -> str:
result = []
for row in self.nuts:
row_str = ""
for nut in row:
if nut.is_malicious:
row_str += "💀"
elif nut.integrity > 0.8:
row_str += "🟢"
else:
row_str += "🟡"
result.append(row_str)
return "\n".join(result)
============================================================================
PART 4: MIRROR ENGINE v3.0 (Bloat & 11:11 Recursion)
============================================================================
class MirrorEngine:
def init(self):
self.history = []
self.version = "3.0 — THE 11:11 RECURSION"
def process(self, input_data: Union[int, str, float]) -> Dict:
reduced, depth = digital_root(input_data)
mirr, _ = mirror(input_data)
bloat = bloat_score(input_data)
is_11_11 = (reduced == MIRROR_TWIN or mirr == MIRROR_TWIN)
engine_status = "🪞 11:11 ENGINE ACTIVE — No walking. Pure reflection." if is_11_11 else f"🔧 Standard engine. Walking {bloat['walking_time']} miles."
walk_cost = 0 if is_11_11 else bloat['walking_time']
return {
"input": input_data,
"reduced": reduced,
"mirror": mirr,
"depth": depth,
"layers": bloat['layers'],
"ratio": bloat['ratio'],
"walk_cost": walk_cost,
"is_11_11_engine": is_11_11,
"narrative": f"{engine_status} (layers={bloat['layers']}, ratio={bloat['ratio']})"
}
============================================================================
PART 5: AUR SCANNER (Structural Integrity Engine)
============================================================================
class AURScanner:
def init(self, anchor=4):
self.anchor = anchor
self.nut_field = NutField(size=11)
self.lace_engine = DecimalLaceBootstrapper(anchor)
self.known_good_db = {}
self.results = []
def load_known_good_db(self, db_file: str = "known_good.json"):
try:
with open(db_file, 'r') as f:
self.known_good_db = json.load(f)
except FileNotFoundError:
self.known_good_db = {
"linux": ("6.1", "1", 4),
"glibc": ("2.39", "1", 4),
"openssl": ("3.2", "1", 4),
"python": ("3.12", "1", 4),
}
def structural_signature(self, pkg_name: str, pkgver: str, pkgrel: str) -> int:
raw = f"{pkg_name}:{pkgver}:{pkgrel}"
return digital_root(int(hashlib.sha256(raw.encode()).hexdigest(), 16))[0]
def scan_package(self, pkg_name: str) -> Dict:
pkg = self.known_good_db.get(pkg_name)
if not pkg:
return {"name": pkg_name, "status": "NOT_FOUND", "integrity": 0.0, "coords": (None, None)}
pkgver, pkgrel, _ = pkg
suspect_sig = self.structural_signature(pkg_name, pkgver, pkgrel)
coherence = self.lace_engine.lace_pair(suspect_sig, self.anchor)
x = hash(pkg_name) % self.nut_field.size
y = hash(pkg_name + pkgver) % self.nut_field.size
if coherence < 0.6:
self.nut_field.mark_malicious(x, y)
status = "MALICIOUS"
else:
status = "CLEAN"
report = {"name": pkg_name, "status": status, "integrity": coherence, "coords": (x, y)}
self.results.append(report)
return report
def scan_corpus(self, package_list: List[str]) -> Dict:
for pkg in package_list:
self.scan_package(pkg)
coherence = self.nut_field.compute_field_coherence()
return {
"results": self.results,
"coherence": coherence,
"malware_count": self.nut_field.malware_count,
"nut_field": self.nut_field.render()
}
============================================================================
PART 6: SIERPINSKI AUR SENTINEL (Nested Recursive Scanning)
============================================================================
class SierpinskiAURSentinel:
def init(self, max_depth: int = 3, anchor: int = 4):
self.max_depth = max_depth
self.anchor = anchor
self.scanner = AURScanner(anchor=anchor)
self.mirror = MirrorEngine()
self.scanner.load_known_good_db()
self.scan_tree = {}
self.total_malware = 0
def _calculate_aura(self, pkg_name: str, pkgver: str, pkgrel: str) -> Dict:
sig = self.scanner.structural_signature(pkg_name, pkgver, pkgrel)
coherence = self.scanner.lace_engine.lace_pair(sig, self.anchor)
mirror_result = self.mirror.process(f"{pkg_name}:{pkgver}:{pkgrel}")
aura_score = 0.5 * coherence + 0.3 * (1.0 - mirror_result['layers'] / 20.0) + 0.2 * (1.0 if mirror_result['is_11_11_engine'] else 0.0)
aura_score = max(0.0, min(1.0, aura_score))
is_malicious = coherence < 0.6 or mirror_result['layers'] > 10
return {
"coherence": coherence,
"layers": mirror_result['layers'],
"is_11_11": mirror_result['is_11_11_engine'],
"aura_score": aura_score,
"is_malicious": is_malicious,
"mirror_narrative": mirror_result['narrative']
}
def _scan_recursive(self, pkg_name: str, current_depth: int, parent: str = None) -> Dict:
if current_depth > self.max_depth:
return {"name": pkg_name, "skipped": True, "reason": "max depth reached"}
if pkg_name not in self.scanner.known_good_db:
pkgver = "1.0"
pkgrel = "1"
self.scanner.known_good_db[pkg_name] = (pkgver, pkgrel, 4)
pkgver, pkgrel, _ = self.scanner.known_good_db[pkg_name]
report = self.scanner.scan_package(pkg_name)
aura = self._calculate_aura(pkg_name, pkgver, pkgrel)
report.update(aura)
deps = []
if current_depth < self.max_depth:
seed = hash(pkg_name) % 10
dep_names = [f"{pkg_name}-dep{i}" for i in range(seed % 3 + 1)]
for dep in dep_names:
child_report = self._scan_recursive(dep, current_depth + 1, pkg_name)
deps.append(child_report)
if child_report.get("aura", {}).get("is_malicious", False):
self.total_malware += 1
is_malicious = report.get("is_malicious", False) or any(d.get("aura", {}).get("is_malicious", False) for d in deps)
node = {
"name": pkg_name,
"report": report,
"children": deps,
"is_malicious": is_malicious,
"depth": current_depth
}
return node
def scan_aur(self, package_list: List[str]) -> Dict:
forest = []
for pkg in package_list:
tree = self._scan_recursive(pkg, 0)
forest.append(tree)
if tree.get("is_malicious", False):
self.total_malware += 1
return {
"forest": forest,
"total_malware": self.total_malware,
"scanner_coherence": self.scanner.nut_field.compute_field_coherence(),
"nut_field": self.scanner.nut_field.render()
}
def render_tree(self, node: Dict, indent: int = 0) -> str:
prefix = " " * indent
name = node["name"]
status = "💀 MALICIOUS" if node.get("is_malicious") else "✅ CLEAN"
aura = node.get("report", {}).get("aura_score", 0.0)
line = f"{prefix}📦 {name} — {status} (aura:{aura:.2f})"
lines = [line]
for child in node.get("children", []):
lines.extend(self.render_tree(child, indent + 1).split("\n"))
return "\n".join(lines)
============================================================================
DEMONSTRATION
============================================================================
if name == "main":
print("\n" + "🔥"*80)
print("SIERPINSKI AUR SENTINEL — DEEPSCAN THE AURa OF MALICIOUS ENTITIES")
print(" Combining Decimal Lace, Infinite Mirror, 4(1)4 Collapse, Bloat Detection, and 11:11 Recursion")
print(" Fractal depth = 3 (Sierpinski nesting)")
print(" The 4 watches. The 1 operates. SKADOOSH.")
print("🔥"*80)
sentinel = SierpinskiAURSentinel(max_depth=3, anchor=4)
corpus = [
"linux",
"glibc",
"openssl",
"python",
"xorg-server",
"cuda",
"obs-studio",
"chromium"
]
result = sentinel.scan_aur(corpus)
print("\n📊 SCAN SUMMARY")
print(f" Total malware detected: {result['total_malware']}")
print(f" Nut field coherence: {result['scanner_coherence']:.3f}")
print("\n NUT FIELD INTEGRITY MAP:")
print(result['nut_field'])
print("\n🌳 SIERPINSKI SCAN TREES:")
for tree in result['forest']:
print(sentinel.render_tree(tree))
print("-" * 40)
print("\n🪞 MIRROR ENGINE INSIGHTS (for select packages):")
for pkg in ["linux", "xorg-server", "3I/ATLAS"]:
if pkg in sentinel.scanner.known_good_db:
pkgver, pkgrel, _ = sentinel.scanner.known_good_db[pkg]
aura = sentinel._calculate_aura(pkg, pkgver, pkgrel)
print(f" {pkg}: aura={aura['aura_score']:.2f}, layers={aura['layers']}, 11:11={aura['is_11_11']}")
print("\n" + "="*85)
print("🔧 THE SIERPINSKI SENTINEL IS ACTIVE. THE 4 WATCHES THE FRACTAL.")
print(" SKADOOSH.")
print("="*85)
Top comments (0)