Opencrow Crypto Toolbox

OpenCROW Crypto Toolbox

Prefer the opencrow-crypto-mcp server for typed crypto workflows. Fall back to the direct scripts only when you need to debug the underlying ctf-environment execution path.

MCP First

• Use toolbox_info, toolbox_verify, and toolbox_capabilities first.
• Use the typed crypto operations:
  • crypto_python
  • crypto_factordb_lookup
  • crypto_crack_hash
• Treat the existing helper scripts as the implementation fallback, not the primary interface.

Use this skill for Python-first crypto work in the ctf environment plus the cracking and lookup tools that commonly complement it. This covers SMT constraints with z3, lattice work with fpylll, implementation helpers with pycryptodome, offline cracking with hashcat or john, and quick FactorDB checks.

Quick Start

Run inline Python in ctf:

python ~/.codex/skills/opencrow-crypto-toolbox/scripts/run_crypto_python.py --code 'from z3 import *; x = BitVec("x", 32); s = Solver(); s.add(x ^ 0x1337 == 0x1234); print(s.check()); print(s.model())'

Run a solver file:

python ~/.codex/skills/opencrow-crypto-toolbox/scripts/run_crypto_python.py --file /absolute/path/to/solve.py

Verify the mapped stack:

python ~/.codex/skills/opencrow-crypto-toolbox/scripts/verify_toolkit.py

Query FactorDB quickly:

python ~/.codex/skills/opencrow-crypto-toolbox/scripts/factordb_lookup.py 999630013489

Workflow

1. Use this toolbox when the job is mostly Python, constraints, lattices, or byte-level crypto helpers.
2. Use run_crypto_python.py --code for short experiments and --file for real solve scripts.
3. Reach for z3 when the challenge is equation- or bit-vector-driven.
4. Reach for fpylll when the attack is lattice-driven and does not require Sage.
5. Reach for pycryptodome when you need standard primitives, block modes, or protocol glue in Python.
6. Reach for hashcat or john when the fastest path is cracking rather than symbolic recovery.
7. Read references/tooling.md if you need a quick selection guide.

Tool Selection

• Use z3 for SAT/SMT solving, bit-vectors, modular constraints, and key-recovery models that can be expressed symbolically.
• Use fpylll for LLL/BKZ lattice reduction, CVP experiments, and short-vector workflows in plain Python.
• Use pycryptodome for AES, RSA helpers, hashes, MACs, padding, byte parsing, and challenge protocol implementation.
• Use hashcat for local cracking workloads and mask, rule, or wordlist-based attacks.
• Use john when a format is better supported by John or when you want a lighter cracking loop.
• Use factordb_lookup.py for quick sanity checks against known integer factorizations before committing to local factoring work.
• Use standard Python libraries in the same script for parsing challenge formats, padding oracles, byte wrangling, and protocol glue.
• Switch to sagemath when the task needs finite fields, elliptic curves, polynomial rings, or Sage-native attack code.

Resources

• scripts/run_crypto_python.py: execute inline code or a .py file inside the ctf environment.
• scripts/verify_toolkit.py: confirm that the crypto-specific Python modules are available.
• scripts/factordb_lookup.py: look up known factors through the public FactorDB API.
• references/tooling.md: quick guidance on when to stay in Python crypto tooling versus switching to Sage.