muted dagger
​Subject: Partner Wanted: Optimizing Maverick Sovereign (Python AV Engine)
​I’m seeking a partner or team for Maverick Sovereign, a Python security engine. I've hit a performance wall that needs human expertise to solve.
​The Bottleneck:
The engine takes 3–6 hours to scan 1.3M files. I need to implement multiprocessing/concurrency to utilize all system resources without locking the UI.
​Secondary Goals:
​Refining heuristics to stop false positives on system/game files.
​Building 'Cyber Shield' and 'Counter-Strike' modules.
​Scaling architecture for high-speed reporting.
​Attached is a screenshot of the 2.5-hour bottleneck at 43% and the core logic below. If you're into high-complexity pro-bono work, let's talk.
def logic_av_flow(self):
# Bottleneck: Single-threaded walk and linear inspection
all_files = []
drives = self.get_all_drives()
for drive in drives:
for root, _, files in os.walk(drive):
for name in files:
all_files.append(os.path.join(root, name))
# Phase 3: Taking 3-6 hours for 1.3M files
for full_path in all_files:
norm_path = os.path.normpath(full_path)
try:
if self.inspect_file_code(norm_path):
self.threat_list.insert(tk.END, f"[!] THREAT: {norm_path}")
self.detected_paths.append(norm_path)
except: continue
def inspect_file_code(self, path):
# Heuristic causing false positives/overhead
if os.path.getsize(path) > 15 * 1024 * 1024: return False
try:
with open(path, 'rb') as f:
content = f.read()
for combo in MALICIOUS_COMBOS:
if all(word in content for word in combo): return True
except: pass
return False
spice elk
clever reef
