chatgpt2api / utils /turnstile.py
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import base64
import json
import random
import time
from typing import Any, Dict, Optional
class OrderedMap:
def __init__(self) -> None:
self.keys = []
self.values = {}
def add(self, key: str, value: Any) -> None:
if key not in self.values:
self.keys.append(key)
self.values[key] = value
def _turnstile_to_str(value: Any) -> str:
if value is None:
return "undefined"
if isinstance(value, float):
return str(value)
if isinstance(value, str):
special = {
"window.Math": "[object Math]",
"window.Reflect": "[object Reflect]",
"window.performance": "[object Performance]",
"window.localStorage": "[object Storage]",
"window.Object": "function Object() { [native code] }",
"window.Reflect.set": "function set() { [native code] }",
"window.performance.now": "function () { [native code] }",
"window.Object.create": "function create() { [native code] }",
"window.Object.keys": "function keys() { [native code] }",
"window.Math.random": "function random() { [native code] }",
}
return special.get(value, value)
if isinstance(value, list) and all(isinstance(item, str) for item in value):
return ",".join(value)
return str(value)
def _xor_string(text: str, key: str) -> str:
if not key:
return text
return "".join(chr(ord(ch) ^ ord(key[i % len(key)])) for i, ch in enumerate(text))
def solve_turnstile_token(dx: str, p: str) -> Optional[str]:
try:
decoded = base64.b64decode(dx).decode()
token_list = json.loads(_xor_string(decoded, p))
except Exception:
return None
process_map: Dict[Any, Any] = {}
start_time = time.time()
result = ""
def func_1(e: float, t: float) -> None:
process_map[e] = _xor_string(_turnstile_to_str(process_map[e]), _turnstile_to_str(process_map[t]))
def func_2(e: float, t: Any) -> None:
process_map[e] = t
def func_3(e: str) -> None:
nonlocal result
result = base64.b64encode(e.encode()).decode()
def func_5(e: float, t: float) -> None:
current = process_map[e]
incoming = process_map[t]
if isinstance(current, (list, tuple)):
process_map[e] = list(current) + [incoming]
return
if isinstance(current, (str, float)) or isinstance(incoming, (str, float)):
process_map[e] = _turnstile_to_str(current) + _turnstile_to_str(incoming)
return
process_map[e] = "NaN"
def func_6(e: float, t: float, n: float) -> None:
tv = process_map[t]
nv = process_map[n]
if isinstance(tv, str) and isinstance(nv, str):
value = f"{tv}.{nv}"
process_map[e] = "https://chatgpt.com/" if value == "window.document.location" else value
def func_7(e: float, *args: float) -> None:
target = process_map[e]
values = [process_map[arg] for arg in args]
if isinstance(target, str) and target == "window.Reflect.set":
obj, key_name, val = values
obj.add(str(key_name), val)
elif callable(target):
target(*values)
def func_8(e: float, t: float) -> None:
process_map[e] = process_map[t]
def func_14(e: float, t: float) -> None:
process_map[e] = json.loads(process_map[t])
def func_15(e: float, t: float) -> None:
process_map[e] = json.dumps(process_map[t])
def func_17(e: float, t: float, *args: float) -> None:
call_args = [process_map[arg] for arg in args]
target = process_map[t]
if target == "window.performance.now":
elapsed_ns = time.time_ns() - int(start_time * 1e9)
process_map[e] = (elapsed_ns + random.random()) / 1e6
elif target == "window.Object.create":
process_map[e] = OrderedMap()
elif target == "window.Object.keys":
if call_args and call_args[0] == "window.localStorage":
process_map[e] = [
"STATSIG_LOCAL_STORAGE_INTERNAL_STORE_V4",
"STATSIG_LOCAL_STORAGE_STABLE_ID",
"client-correlated-secret",
"oai/apps/capExpiresAt",
"oai-did",
"STATSIG_LOCAL_STORAGE_LOGGING_REQUEST",
"UiState.isNavigationCollapsed.1",
]
elif target == "window.Math.random":
process_map[e] = random.random()
elif callable(target):
process_map[e] = target(*call_args)
def func_18(e: float) -> None:
process_map[e] = base64.b64decode(_turnstile_to_str(process_map[e])).decode()
def func_19(e: float) -> None:
process_map[e] = base64.b64encode(_turnstile_to_str(process_map[e]).encode()).decode()
def func_20(e: float, t: float, n: float, *args: float) -> None:
if process_map[e] == process_map[t]:
target = process_map[n]
if callable(target):
target(*[process_map[arg] for arg in args])
def func_21(*_: Any) -> None:
return
def func_23(e: float, t: float, *args: float) -> None:
if process_map[e] is not None and callable(process_map[t]):
process_map[t](*args)
def func_24(e: float, t: float, n: float) -> None:
tv = process_map[t]
nv = process_map[n]
if isinstance(tv, str) and isinstance(nv, str):
process_map[e] = f"{tv}.{nv}"
process_map.update({
1: func_1,
2: func_2,
3: func_3,
5: func_5,
6: func_6,
7: func_7,
8: func_8,
9: token_list,
10: "window",
14: func_14,
15: func_15,
16: p,
17: func_17,
18: func_18,
19: func_19,
20: func_20,
21: func_21,
23: func_23,
24: func_24,
})
for token in token_list:
try:
fn = process_map.get(token[0])
if callable(fn):
fn(*token[1:])
except Exception:
continue
return result or None