Files
KingJin-web-zy/decode/decodedZlib.py
2025-09-13 14:20:00 +08:00

37 lines
10 KiB
Python

import base64
import zlib
# 将这里的 "xxx" 替换为实际的 base64 编码字符串
encoded_data = b'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'
# 解密zlib.decompress(base64.b64decode("xxx")))
try:
# 解码 base64
decoded_bytes = base64.b64decode(encoded_data)
# 解压缩 zlib
decompressed_data = zlib.decompress(decoded_bytes)
# 尝试以 UTF-8 编码转换为字符串
try:
decoded_text = decompressed_data.decode('utf-8')
print("解密后的内容 (UTF-8):")
print(decoded_text)
except UnicodeDecodeError:
# 尝试以 GBK 编码转换为字符串
try:
decoded_text = decompressed_data.decode('gbk')
print("解密后的内容 (GBK):")
print(decoded_text)
except UnicodeDecodeError:
print("无法以常见编码方式解码为文本,显示原始字节数据:")
print(decompressed_data)
# 保存解密后的内容到文件
with open('decoded_zlib_content.txt', 'wb') as f:
f.write(decompressed_data)
print("\n解密内容已保存到 decoded_zlib_content.txt")
except Exception as e:
print(f"解密过程中发生错误: {e}")