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# Run original bytecode orig_output = subprocess.check_output(['python', original_pyc])
# Common patterns to fix: # 1. Restore meaningful variable names # 2. Add missing imports # 3. Fix indentation issues # 4. Reconstruct string literals # 5. Restore comments from context # Complete recovery process for lost source code 1. Locate all bytecode files find . -name "*.pyc" > pyc_files.txt 2. Decompile to temporary directory mkdir recovered_source uncompyle6 -o recovered_source $(cat pyc_files.txt) 3. Fix common decompilation artifacts sed -i 's/ doc /"""DOCSTRING"""/g' recovered_source/*.py 4. Validate syntax for file in recovered_source/*.py; do python -m py_compile "$file" done 5. Compare with runtime behavior python -c "import sys; sys.path.insert(0, 'recovered_source'); import your_module" Alternative Tools Comparison | Tool | Python Versions | Speed | Accuracy | Maintenance | |------|----------------|-------|----------|-------------| | uncompyle6 | 1.0-3.8 | Medium | High | Active | | decompyle3 | 3.7-3.9 | Medium | High | Active | | pycdc | 1.0-3.9 | Fast | Medium | Active | | pycdasm | 2.0-3.7 | Slow | Medium | Inactive | | unpyc3 | 3.2-3.6 | Slow | Low | Inactive | Security Considerations Detecting Malicious Code # Scan decompiled code for suspicious patterns suspicious_patterns = [ r'eval\s*\(', r'exec\s*\(', r'__import__\s*\(', r'base64\.b64decode', r'compile\s*\(', r'socket\.', r'subprocess\.' ] def scan_decompiled(filepath): with open(filepath, 'r') as f: content = f.read()
# Most common commands pip install uncompyle6 uncompyle6 file.pyc > recovered.py uncompyle6 -o output/ *.pyc Remember: Decompilation helps recover YOUR lost code, not steal others' work.
for pattern in suspicious_patterns: if re.search(pattern, content, re.IGNORECASE): print(f"Warning: Found pattern in filepath") Easy Python Decompiler and its command-line alternatives provide effective ways to recover source code from bytecode files. While decompilation isn't perfect, it often produces workable code that can be manually corrected. Always respect intellectual property rights and use these tools ethically.
# Run recovered source recov_output = subprocess.check_output(['python', recovered_py])
