-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathsolver.py
More file actions
498 lines (400 loc) · 14.5 KB
/
solver.py
File metadata and controls
498 lines (400 loc) · 14.5 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
"""
CAPTCHA Solver Module for ShadowPass.
Provides integration with CAPTCHA solving services and
optional machine learning-based local solving.
"""
import logging
import time
import base64
from typing import Optional, Dict, Any
from abc import ABC, abstractmethod
class CaptchaSolverBase(ABC):
"""Base class for CAPTCHA solvers."""
@abstractmethod
def solve_image(self, image_base64: str) -> Optional[str]:
"""Solve an image CAPTCHA."""
pass
@abstractmethod
def solve_recaptcha_v2(self, site_key: str, url: str) -> Optional[str]:
"""Solve reCAPTCHA v2."""
pass
@abstractmethod
def solve_recaptcha_v3(self, site_key: str, url: str, action: str = "verify") -> Optional[str]:
"""Solve reCAPTCHA v3."""
pass
@abstractmethod
def solve_hcaptcha(self, site_key: str, url: str) -> Optional[str]:
"""Solve hCaptcha."""
pass
class TwoCaptchaSolver(CaptchaSolverBase):
"""2Captcha API integration."""
API_URL = "http://2captcha.com/in.php"
RESULT_URL = "http://2captcha.com/res.php"
def __init__(self, api_key: str, timeout: int = 120):
"""
Initialize 2Captcha solver.
Args:
api_key: 2Captcha API key
timeout: Maximum time to wait for solution
"""
self.api_key = api_key
self.timeout = timeout
self.logger = logging.getLogger(__name__)
def _submit_captcha(self, params: Dict[str, Any]) -> Optional[str]:
"""Submit CAPTCHA and return task ID."""
import requests
params["key"] = self.api_key
params["json"] = 1
try:
response = requests.post(self.API_URL, data=params, timeout=30)
result = response.json()
if result.get("status") == 1:
return result.get("request")
else:
self.logger.error(f"2Captcha submit error: {result.get('request')}")
return None
except Exception as e:
self.logger.error(f"2Captcha submit failed: {e}")
return None
def _get_result(self, task_id: str) -> Optional[str]:
"""Get CAPTCHA solution by task ID."""
import requests
params = {
"key": self.api_key,
"action": "get",
"id": task_id,
"json": 1
}
start_time = time.time()
while time.time() - start_time < self.timeout:
try:
response = requests.get(self.RESULT_URL, params=params, timeout=30)
result = response.json()
if result.get("status") == 1:
return result.get("request")
elif result.get("request") == "CAPCHA_NOT_READY":
time.sleep(5)
else:
self.logger.error(f"2Captcha error: {result.get('request')}")
return None
except Exception as e:
self.logger.error(f"2Captcha result fetch failed: {e}")
time.sleep(5)
self.logger.error("2Captcha timeout")
return None
def solve_image(self, image_base64: str) -> Optional[str]:
"""
Solve an image CAPTCHA.
Args:
image_base64: Base64 encoded image
Returns:
CAPTCHA solution text or None
"""
params = {
"method": "base64",
"body": image_base64
}
task_id = self._submit_captcha(params)
if task_id:
return self._get_result(task_id)
return None
def solve_recaptcha_v2(self, site_key: str, url: str) -> Optional[str]:
"""
Solve reCAPTCHA v2.
Args:
site_key: reCAPTCHA site key
url: Page URL
Returns:
reCAPTCHA token or None
"""
params = {
"method": "userrecaptcha",
"googlekey": site_key,
"pageurl": url
}
task_id = self._submit_captcha(params)
if task_id:
return self._get_result(task_id)
return None
def solve_recaptcha_v3(
self,
site_key: str,
url: str,
action: str = "verify",
min_score: float = 0.3
) -> Optional[str]:
"""
Solve reCAPTCHA v3.
Args:
site_key: reCAPTCHA site key
url: Page URL
action: reCAPTCHA action
min_score: Minimum required score
Returns:
reCAPTCHA token or None
"""
params = {
"method": "userrecaptcha",
"googlekey": site_key,
"pageurl": url,
"version": "v3",
"action": action,
"min_score": min_score
}
task_id = self._submit_captcha(params)
if task_id:
return self._get_result(task_id)
return None
def solve_hcaptcha(self, site_key: str, url: str) -> Optional[str]:
"""
Solve hCaptcha.
Args:
site_key: hCaptcha site key
url: Page URL
Returns:
hCaptcha token or None
"""
params = {
"method": "hcaptcha",
"sitekey": site_key,
"pageurl": url
}
task_id = self._submit_captcha(params)
if task_id:
return self._get_result(task_id)
return None
def get_balance(self) -> Optional[float]:
"""Get account balance."""
import requests
params = {
"key": self.api_key,
"action": "getbalance",
"json": 1
}
try:
response = requests.get(self.RESULT_URL, params=params, timeout=30)
result = response.json()
if result.get("status") == 1:
return float(result.get("request", 0))
except Exception as e:
self.logger.error(f"Failed to get balance: {e}")
return None
class AntiCaptchaSolver(CaptchaSolverBase):
"""Anti-Captcha API integration."""
API_URL = "https://api.anti-captcha.com"
def __init__(self, api_key: str, timeout: int = 120):
"""
Initialize Anti-Captcha solver.
Args:
api_key: Anti-Captcha API key
timeout: Maximum time to wait for solution
"""
self.api_key = api_key
self.timeout = timeout
self.logger = logging.getLogger(__name__)
def _create_task(self, task: Dict[str, Any]) -> Optional[int]:
"""Create a solving task."""
import requests
payload = {
"clientKey": self.api_key,
"task": task
}
try:
response = requests.post(
f"{self.API_URL}/createTask",
json=payload,
timeout=30
)
result = response.json()
if result.get("errorId") == 0:
return result.get("taskId")
else:
self.logger.error(f"Anti-Captcha error: {result.get('errorDescription')}")
return None
except Exception as e:
self.logger.error(f"Anti-Captcha task creation failed: {e}")
return None
def _get_task_result(self, task_id: int) -> Optional[Dict[str, Any]]:
"""Get task result."""
import requests
payload = {
"clientKey": self.api_key,
"taskId": task_id
}
start_time = time.time()
while time.time() - start_time < self.timeout:
try:
response = requests.post(
f"{self.API_URL}/getTaskResult",
json=payload,
timeout=30
)
result = response.json()
if result.get("errorId") != 0:
self.logger.error(f"Anti-Captcha error: {result.get('errorDescription')}")
return None
if result.get("status") == "ready":
return result.get("solution")
time.sleep(5)
except Exception as e:
self.logger.error(f"Anti-Captcha result fetch failed: {e}")
time.sleep(5)
self.logger.error("Anti-Captcha timeout")
return None
def solve_image(self, image_base64: str) -> Optional[str]:
"""Solve an image CAPTCHA."""
task = {
"type": "ImageToTextTask",
"body": image_base64
}
task_id = self._create_task(task)
if task_id:
result = self._get_task_result(task_id)
if result:
return result.get("text")
return None
def solve_recaptcha_v2(self, site_key: str, url: str) -> Optional[str]:
"""Solve reCAPTCHA v2."""
task = {
"type": "RecaptchaV2TaskProxyless",
"websiteURL": url,
"websiteKey": site_key
}
task_id = self._create_task(task)
if task_id:
result = self._get_task_result(task_id)
if result:
return result.get("gRecaptchaResponse")
return None
def solve_recaptcha_v3(
self,
site_key: str,
url: str,
action: str = "verify"
) -> Optional[str]:
"""Solve reCAPTCHA v3."""
task = {
"type": "RecaptchaV3TaskProxyless",
"websiteURL": url,
"websiteKey": site_key,
"pageAction": action,
"minScore": 0.3
}
task_id = self._create_task(task)
if task_id:
result = self._get_task_result(task_id)
if result:
return result.get("gRecaptchaResponse")
return None
def solve_hcaptcha(self, site_key: str, url: str) -> Optional[str]:
"""Solve hCaptcha."""
task = {
"type": "HCaptchaTaskProxyless",
"websiteURL": url,
"websiteKey": site_key
}
task_id = self._create_task(task)
if task_id:
result = self._get_task_result(task_id)
if result:
return result.get("gRecaptchaResponse")
return None
class CaptchaSolver:
"""
Main CAPTCHA solver that delegates to the appropriate service.
Supports:
- 2Captcha
- Anti-Captcha
- Local ML solving (placeholder)
"""
def __init__(self, config=None):
"""
Initialize the CAPTCHA solver.
Args:
config: CaptchaConfig object
"""
self.config = config
self.logger = logging.getLogger(__name__)
self.solver: Optional[CaptchaSolverBase] = None
self.use_ml = config.use_ml_solver if config else False
if config and config.api_key:
if config.provider == "2captcha":
self.solver = TwoCaptchaSolver(config.api_key, config.timeout)
elif config.provider == "anticaptcha":
self.solver = AntiCaptchaSolver(config.api_key, config.timeout)
self.logger.info(f"CAPTCHA solver initialized: {config.provider}")
def solve_image(self, image_path: str = None, image_base64: str = None) -> Optional[str]:
"""
Solve an image CAPTCHA.
Args:
image_path: Path to image file
image_base64: Base64 encoded image
Returns:
CAPTCHA solution or None
"""
if image_path and not image_base64:
with open(image_path, "rb") as f:
image_base64 = base64.b64encode(f.read()).decode()
if not image_base64:
self.logger.error("No image provided")
return None
if self.use_ml:
return self._solve_with_ml(image_base64)
if self.solver:
return self.solver.solve_image(image_base64)
self.logger.error("No CAPTCHA solver configured")
return None
def solve_recaptcha_v2(self, site_key: str, url: str) -> Optional[str]:
"""Solve reCAPTCHA v2."""
if self.solver:
return self.solver.solve_recaptcha_v2(site_key, url)
self.logger.error("No CAPTCHA solver configured")
return None
def solve_recaptcha_v3(
self,
site_key: str,
url: str,
action: str = "verify"
) -> Optional[str]:
"""Solve reCAPTCHA v3."""
if self.solver:
return self.solver.solve_recaptcha_v3(site_key, url, action)
self.logger.error("No CAPTCHA solver configured")
return None
def solve_hcaptcha(self, site_key: str, url: str) -> Optional[str]:
"""Solve hCaptcha."""
if self.solver:
return self.solver.solve_hcaptcha(site_key, url)
self.logger.error("No CAPTCHA solver configured")
return None
def _solve_with_ml(self, image_base64: str) -> Optional[str]:
"""
Solve CAPTCHA using local ML.
This is a placeholder for OCR/ML integration.
In practice, you would integrate pytesseract, OpenCV,
or a trained model here.
"""
self.logger.warning(
"ML-based CAPTCHA solving is not fully implemented. "
"Consider using an API service for production use."
)
try:
# Try basic OCR with pytesseract if available
import pytesseract
from PIL import Image
import io
image_data = base64.b64decode(image_base64)
image = Image.open(io.BytesIO(image_data))
# Basic image preprocessing
image = image.convert("L") # Grayscale
# OCR
text = pytesseract.image_to_string(image, config="--psm 7")
return text.strip()
except ImportError:
self.logger.error(
"pytesseract not installed. Install with: "
"pip install pytesseract Pillow"
)
except Exception as e:
self.logger.error(f"ML CAPTCHA solving failed: {e}")
return None