# HZJQF/help_tool

推理算法助手(降维打击)

Repository: https://github.com/HZJQF/help_tool
Canonical: https://ross.abutalabs.com/products/help_tool
Language: Python
License: GPL-3.0
License Family: copyleft
Last push: 2024-10-25T02:29:47+00:00

## Health v2 (maintenance only)
Score: 24/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 0, release rhythm 40, longevity 52
- inputs: {"age_days": 732, "days_push": 678, "days_rel": 683, "gap_med": 2.0, "n_releases_24m": 9}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1083, forks 453 (observed 2026-08-28T04:03:31.252046+00:00)

## What it is
A PyQt5-based Windows GUI tool that uses inference models to identify the encryption or hashing algorithm behind a given ciphertext and attempts to recover the plaintext. It supports algorithms like AES, DES, 3DES, SM4, MD5, SHA, and SM3, and includes a rooted-Android memory-dump feature for analyzing encrypted parameters in mobile apps.

## Use cases
- identify which encryption algorithm produced a ciphertext
- recover plaintext from encrypted request parameters during web reverse engineering
- crack MD5 or SHA hashes of captured parameters
- decrypt AES/DES ciphertext with unknown mode and padding
- analyze encrypted parameters in Android apps via memory dumping
- learn how common encryption algorithms behave in practice

## When to choose
- you are reverse-engineering a website or app and need to quickly identify parameter encryption
- you have ciphertext samples and want to guess the algorithm and recover plaintext fast
- you do security research on captured traffic with encrypted fields

## When to avoid
- you need a general-purpose cryptography library for production code
- you need Linux or macOS support (currently Windows-only)
- you expect guaranteed decryption without any known plaintext or key hints

## Facets
- artifact type: application
- maturity: active
- function: cryptography, security, reverse-engineering, gui, machine-learning
- domain: security, reverse-engineering, developer-tools
- platform: windows, python
- tags: encryption-algorithm-identification, decryption, penetration-testing, pyqt5, ctf, web-reverse-engineering, desktop

## Member repositories
- HZJQF/help_tool (main) score 24

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:31.252046+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:50:12.251319+00:00, confidence not recorded.
  - readme: https://github.com/HZJQF/help_tool (fetched 2026-08-28T04:03:31.252046+00:00, sha 60cad2c7fea8)
- Data as of 2026-08-30T08:39:29.467469+00:00.