Vendor Tencent Tcaptcha

---
name: vendor-tencent-tcaptcha
description: |
  Beginner-friendly reverse-engineering workflow for Vendor Tencent Tcaptcha. Use it to collect evidence, choose static or dynamic analysis, correlate runtime behavior, and produce a reproducible result.
---

# Vendor Tencent Tcaptcha

## Beginner mode

Explain what the target is, what question this module answers, what evidence is needed, and what success looks like. Define tools and acronyms before using them.

## Workflow

1. Record the artifact, version, architecture, entry action, environment, hash, and desired output.
2. Preserve raw files, requests, logs, traces, screenshots, symbols, and command history.
3. Start with the smallest observation that distinguishes competing hypotheses.
4. Separate static facts, runtime observations, inferences, and unresolved questions.
5. Correlate code, call stacks, memory, files, traffic, and outputs instead of trusting one signal.
6. Build a minimal reproducer, fixture, hook, dump validation, or report.
7. Test normal, edge, empty/default, repeated, and cross-version cases when possible.

## Quality gates

- Do not infer a call chain from a string alone.
- Do not accept a dump until headers, mappings, imports/relocations, symbols, and a consumer tool validate it.
- Do not call a patch or detection workaround stable until clean baseline, cold start, warm start, and repeated runs are compared.
- Record tool versions, commands, paths, hashes, offsets, timestamps, and first-difference locations.
- If evidence is missing, state the smallest next artifact required.

## Deliverables

- Plain-English beginner summary.
- Evidence table and confidence level.
- Technical chain: entry -> loader -> detector or logic -> output.
- Scripts, commands, fixtures, or report files.
- Limitations, rollback or recovery notes, and next action.

## Collaboration

Use `triage-and-route` and `evidence-collection` first. Combine with the relevant static, runtime, protocol, environment, emulation, malware, or parity module. Finish with `reconstruction-and-parity` or `systematic-debugging` when applicable.