Files
hello_js_reverse_skill/scripts/verify/verify_values.py
T
yml2213 344eea2194 refactor(结构): 分层重组 + 清除全部废弃路线
做了什么:
- 包改为分层: tcaptcha/{protocol,telemetry,solvers,ocr,adapters,models,tests}
  * protocol/  client.py  transport.py  proxy.py
  * telemetry/ crypto.py  values.py  key.py  opcodes.py
               disasm.py  program.py  layout.py  modules.py
  * solvers/   text_click.py  icon_click.py  icon_click_rotate.py  slider.py
  * ocr/       engines.py  slicer.py
  * adapters/  one_ms.py
- tools/ 里原本是**包运行时依赖**的 tdc_{disasm,program,layout,modules}.py 并入 telemetry/
  (放在 tools/ 属于分层倒置),tools/ 只留 CLI: tdc_key_pure.py / tdc_profile.py / cdp_*.js
- crypto.py 529 -> 340 行: 切除「成功样本模板回填」与「Node 插桩兜底」两条老路;
  generate_telemetry 只剩 python_values 一种模式,传别的会直接报错并说明原因
- 求解器改名分清: solver.py -> solvers/icon_click.py(client 实际在用的 YOLO+ResNet18 ONNX),
  icon_click_solver.py -> solvers/icon_click_rotate.py(仅测试在用,留作对照)
- pyproject: 去掉 ultralytics/onnx(训练栈已删),补上真正在用的 onnxruntime

删除了什么:
- 雨云整条线 + dist/rainyun_qinglong(104M 旧快照)
- 模板回填: models/success_collect_template.b64、tdc_worker.js、analyze_collect_layout.py
- 「补环境」时代浏览器 JS: chrome_fetch/manual_captcha/probe_captcha/solve_in_browser/tdc_browser
- 旧 VM 探索工具 10 个(tdc_collectgen/tdc_slotmap/tdc_lift/tdc_vm_run/tdc_query/tdc_probe 等)
  + 8 个基于它们的旧 verify 脚本
- 训练/标注/评估: train_classifier/train_detector/prepare_yolo/web_labeler/collector/
  siamese/evaluate/benchmark_verify
- tcaptcha/core_js/(60 个分析产物)、TOOLCHAIN_REPORT.md(整篇在描述已删工具)
- 3 个已无任何引用的 PyTorch 权重:icon_classifier.pt 43M / yolo_detector.pt 5.9M /
  siamese_matcher.pt 1.6M —— 线上只跑 onnx,tcaptcha/ 117M -> 66M

为什么:
- 项目后面要专门承载「滑块 / 文字点选 / 图标点选」三种求解器;扁平包 + 运行时依赖混在
  tools/ + 两条已废弃的 collect 生成路线,会让后续扩展持续踩坑

怎么验证:
- .venv/bin/python -m tcaptcha.selftest                    全绿
- scripts/verify/verify_offline.py                         逐槽全等 + 分段几何一致
- scripts/verify/verify_values.py                          4 份真机明文 152/152 逐槽全等
- scripts/verify/send_test.py --mode python_values         1ms 签到页文字点选 errorCode=0
- 回滚点: tag backup/pre-refactor-20261012
2026-10-12 12:34:57 +08:00

105 lines
4.1 KiB
Python

# -*- coding: utf-8 -*-
"""verify_values.py —— 用**真机同会话明文**校验取值生成器(tcaptcha/tdc_values.py)。
做法(不手工配平,全部从观测值反推):
1. 解密 collect -> 切 4 段 -> 解析 cd
2. 按清单顺序把槽绑到语义名(itoken 占 2 槽)
3. 从观测值里读出「会话量」(itoken / 会话随机盐 / 页面加载时刻)
与「每次采集量」(当前时刻 / 采集计数 / 轨迹),塞进 Session
4. 让生成器重算一遍,逐槽对比
期望: 除「每次采集量」之外**必须逐槽全等**;而每次采集量被喂了观测值后也应全等
(等于证明生成器对这些量的建模是对的,而不是巧合)。
用法:
.venv/bin/python scripts/verify/verify_values.py \
--build /tmp/1ms_bridge/session_build.js \
--collects /tmp/1ms_bridge/session_collect.json /tmp/1ms_bridge/session_collect2.json
"""
import argparse
import base64
import json
import sys
from pathlib import Path
from urllib.parse import unquote
ROOT = Path(__file__).resolve().parents[2]
sys.path.insert(0, str(ROOT))
sys.path.insert(0, str(ROOT / "tools"))
from tcaptcha.telemetry import modules as tm # noqa: E402
from tcaptcha.telemetry.crypto import split_collect_segments, xtea_decrypt_bytes # noqa: E402
from tcaptcha.telemetry.key import extract_xtea_key_pure # noqa: E402
from tcaptcha.telemetry.values import Session, generate_cd # noqa: E402
def slot_names(rows):
out = []
for r in rows:
base = str(r["name"]).split("#")[0]
out.extend([r["name"]] * (2 if base == "itoken" else 1))
return out
def decrypt_cd(path, key):
sess = json.load(open(path, encoding="utf-8"))
if "collect" not in sess and isinstance(sess.get("data"), dict):
sess = sess["data"]
plain = xtea_decrypt_bytes(base64.b64decode(unquote(sess["collect"])), key) \
.decode("latin1").rstrip("\x00")
c1, traj, c2, sd = split_collect_segments(plain)
obj = json.loads(c1 + traj + c2 + sd)
return obj["cd"], json.loads(traj), sd
def main() -> int:
ap = argparse.ArgumentParser(description="校验语义名取值生成器")
ap.add_argument("--build", default="/tmp/1ms_bridge/session_build.js")
ap.add_argument("--collects", nargs="+", required=True)
args = ap.parse_args()
js = open(args.build, encoding="utf-8", errors="replace").read()
key = extract_xtea_key_pure(js)["key"]
rows = tm.analyze(args.build)
names = slot_names(rows)
bases = [n.split("#")[0] for n in names]
total_ok = total = 0
for path in args.collects:
cd, traj, sd = decrypt_cd(path, key)
slots = list(zip(names, cd))
# 注意 itoken 占 2 槽且同名,所以用列表而不是 dict
itoken = [v for n, v in slots if n == "itoken"]
sess_rand = next(v for n, v in slots if n.startswith("struct_40_9#")
and not n.endswith("_empty"))
loaded = next(v for n, v in slots
if n.startswith("window_time#") and n.endswith("call_empty"))
now = next(v for n, v in slots
if n.startswith("window_time#") and not n.endswith("call_empty"))
calls = next(v for n, v in slots if n == "struct_46_9")
s = Session(now=loaded)
s.itoken = list(itoken)
s.session_rand = sess_rand
s.loaded_at = loaded
s.calls = calls - 1 # generate_cd 会 +1
s.set_trajectory(traj)
gen = generate_cd(rows, s, now=now)
bad = [(names[i], cd[i], gen[i]) for i in range(len(cd)) if cd[i] != gen[i]]
total += len(cd)
total_ok += len(cd) - len(bad)
print("%-46s cd=%d 不一致=%d" % (Path(path).name, len(cd), len(bad)))
for n, o, g in bad:
print(" %-38s 观测=%s 生成=%s"
% (n, json.dumps(o, ensure_ascii=False)[:44],
json.dumps(g, ensure_ascii=False)[:44]))
print()
print("逐槽全等: %d/%d" % (total_ok, total))
return 0 if total_ok == total else 1
if __name__ == "__main__":
raise SystemExit(main())