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Update input.py
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smallfawn authored Jun 28, 2024
1 parent 5dce768 commit 68f8fe9
Showing 1 changed file with 41 additions and 126 deletions.
167 changes: 41 additions & 126 deletions input.py
Original file line number Diff line number Diff line change
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import base64
import bz2
import zlib
import lzma
import gzip
from datetime import datetime
#from Crypto.Cipher import AES
#from cryptography.fernet import Fernet
#from Crypto.Cipher import ChaCha20
# 获取当前日期和时间
now = datetime.now()

# 将日期和时间格式化为字符串
formatted_date = now.strftime("%Y-%m-%d %H:%M:%S")


def try_decompress(data):
try:
decompressed_data = gzip.decompress(data)
return decompressed_data
except Exception as e:
pass
# 尝试使用 bz2 解压缩
try:
decompressed_data = bz2.decompress(data)
# print("使用 bz2 解压缩成功")
return decompressed_data
except Exception as e:
pass
# 尝试使用 zlib 解压缩
try:
decompressed_data = zlib.decompress(data)
# print("使用 zlib 解压缩成功")
return decompressed_data
except Exception as e:
pass
# 尝试使用 lzma 解压缩
try:
decompressed_data = lzma.decompress(data)
# print("使用 lzma 解压缩成功")
return decompressed_data
except Exception as e:
pass
# 如果无法解压缩,则返回原始数据
return data


def try_decode_base64(data):
try:
decoded_data = base64.b64decode(data)
# print("使用 base64 解码成功")
return decoded_data
except Exception as e:
pass
# 如果无法解码,则返回原始数据
return data


def extract_base64_encoded(data):
# 查找 base64.b64decode( 的起始位置
start_idx = data.find("base64.b64decode(")
if start_idx == -1:
return None # 如果未找到目标字符串,返回 None
# 查找 ' 的位置,从 base64.b64decode( 后面开始找
quote_idx = data.index("'", start_idx + len("base64.b64decode("))
# 提取 'XXXX' 中的 XXXX 部分
encoded_string = data[quote_idx + 1:data.index("'", quote_idx + 1)]
return encoded_string


def Encoded_script_decode(data):

return


def decrypt_nested(data):
while True:
new_data = try_decode_base64(data)
# print("解密前的数据:", data)
new_data = try_decompress(new_data)
# print("解密后的数据:", new_data)
if "exec(" in str(new_data):
# 更新 decrypted_data 以便下一次循环使用
if "Encoded script" in str(new_data):
new_data = "该加密未适配 敬请期待"
print("该加密未适配 敬请期待")
break
elif "exec(" in str(new_data):
data = extract_base64_encoded(str(new_data))
else:
print("未知 加密 无法进一步解密")
new_data = "未知 加密 无法进一步解密"
break # 如果 new_data 中不再包含 "exec",跳出循环
# print(data)
else:
print("无法进一步解密,退出循环")
break # 如果 new_data 中不再包含 "exec",跳出循环

return new_data # 返回最终解密后的数据


with open('./input.py', 'r', encoding='utf-8') as file:
# 读取文件内容
content = file.read().strip()
# 打印内容
encoded_data = extract_base64_encoded(content)
# print(encoded_data)
# 解密嵌套加密数据
final_decrypted_data = decrypt_nested(encoded_data)
# 输出最终解密结果
# print("最终解密结果:")
def process_data(data):
if isinstance(data, str):
# 如果是字符串,则编码为字节对象
byte_data = data.encode('utf-8')
elif isinstance(data, bytes):
# 如果已经是字节对象,则直接使用
byte_data = data
else:
# 如果不是字符串也不是字节对象,抛出异常或做其他处理
raise TypeError("Expected string or bytes-like object")
return byte_data

print(final_decrypted_data)
with open("./onputPy.py", 'wb') as f:
f.write(process_data("#")+process_data(formatted_date)+process_data("\n")+process_data(final_decrypted_data))
# --------------------------------注释&变量区--------------------------------
# 入口 https://app.zhuanbang.net/invite/7079
# 找请求头中NiuToken的值
# NiuToken=**** 只要**** NiuToken=不要填 NiuToken=不要填 NiuToken=不要填
# 变量名:yuanshen_zb 多号@分割
# --------------------------------一般不动区--------------------------------
# _ooOoo_
# o8888888o
# 88" . "88
# (| -_- |)
# O\ = /O
# ____/`---'\____
# . ' \\| |// `.
# / \\||| : |||// \
# / _||||| -:- |||||- \
# | | \\\ - /// | |
# | \_| ''\---/'' | |
# \ .-\__ `-` ___/-. /
# ___`. .' /--.--\ `. . __
# ."" '< `.___\_<|>_/___.' >'"".
# | | : `- \`.;`\ _ /`;.`/ - ` : | |
# \ \ `-. \_ __\ /__ _/ .-` / /
# ======`-.____`-.___\_____/___.-`____.-'======
# `=---='
#
# .............................................
# 佛祖保佑 永无BUG
# 佛祖镇楼 BUG辟邪
#佛曰:
# 写字楼里写字间,写字间里程序员;
# 程序人员写程序,又拿程序换酒钱。
# 酒醒只在网上坐,酒醉还来网下眠;
# 酒醉酒醒日复日,网上网下年复年。
# 但愿老死电脑间,不愿鞠躬老板前;
# 奔驰宝马贵者趣,公交自行程序员。
# 别人笑我忒疯癫,我笑自己命太贱;
# 不见满街漂亮妹,哪个归得程序员?
#
# --------------------------------代码区--------------------------------
import bz2, base64
exec(bz2.decompress(base64.b64decode('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')))

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