ext反混淆后，

ext分析 - 图1

我们猜测，它有可能是个固定的，多试几次发现，确实是固定的

ext分析 - 图2

然后，后面那个是真实轨迹的长度

代码整合

  1. import subprocess
  2. import random
  3. import json
  6. def N_w8(v1, v2):
  7.     res = subprocess.check_output(f"node N2.js {v1} {v2}")
  8.     res = res.decode('utf-8').strip()
  9.     return res
  12. def A_unique2DArray(v1):
  13.     res = subprocess.check_output(f"node w2.js {v1}")
  14.     res = res.decode('utf-8').strip()
  15.     return res
  18. def j_as_ww(v1):
  19.     res = subprocess.check_output(f"node j.js {v1}")
  20.     res = res.decode('utf-8').strip()
  21.     return res
  24. def run():
  25.     # 识别滑块的距离
  26.     x_distance = 100
  27.     # 背景请求返回的token
  28.     bg_token = "cc7c74c959d842e69aa980a3430b7884"
  30.     trace_data = []
  31.     atom_trace_data = []
  32.     interval_value = random.randint(100, 300)
  33.     step = 2
  34.     for i in range(0, x_distance + 1, step):
  35.         x_value = i + step
  36.         if x_value > x_distance:
  37.             x_value = x_distance
  38.         interval_value += random.randint(10, 20)
  39.         y_value = random.randint(0, 5)
  40.         # atom_trace_data
  41.         chunk_list = [x_value, y_value, interval_value]
  42.         atom_trace_data.append(chunk_list)
  44.         # trace_data
  45.         line = f"{x_value},{y_value},{interval_value}"
  46.         line = N_w8(bg_token, line)
  47.         trace_data.append(line)
  49.     ext_string = j_as_ww(N_w8(bg_token, f"1,{len(trace_data)}"))
  50.     print(ext_string)
  53. if __name__ == '__main__':
  54.     run()