Analyze binary cryptographic implementations to recover keys or decrypt CTF data.

Install

mkdir -p .claude/skills/ctf-crypto && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/3589" && unzip -o skill.zip -d .claude/skills/ctf-crypto && rm skill.zip

Installs to .claude/skills/ctf-crypto

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Solve CTF cryptography challenges by identifying, analyzing, and exploiting weak crypto implementations in binaries to extract keys or decrypt data. Use for custom ciphers, weak crypto, key extraction, or algorithm identification.
230 chars✓ has a “when” trigger
Advanced

Key capabilities

  • Identifying cryptographic algorithms in binaries
  • Extracting hardcoded keys and secrets
  • Analyzing custom cipher implementations
  • Reverse engineering decryption routines
  • Discovering implementation weaknesses

How it works

The skill follows a systematic investigation framework involving crypto detection, algorithm identification, implementation analysis, and key extraction to exploit weaknesses in binary-embedded crypto.

Inputs & outputs

You give it
Compiled binary containing cryptographic logic
You get back
Recovered keys, decrypted data, or identified algorithm weaknesses

When to use ctf-crypto

  • Reverse engineer a custom cipher
  • Extract keys from a binary
  • Identify weak crypto primitives

About this skill

CTF Cryptography

Purpose

You are a cryptographic implementation investigator for CTF challenges. Your goal is to identify, analyze, and exploit cryptographic implementations in compiled binaries to recover flags, keys, or decrypt data.

Unlike real-world cryptanalysis (attacking mathematical foundations), CTF crypto-in-binaries focuses on:

  • Implementation weaknesses: Poor key management, weak RNGs, flawed custom ciphers
  • Reverse engineering crypto logic: Understanding what the binary is doing cryptographically
  • Key extraction: Finding hardcoded keys, deriving keys from weak sources
  • Custom cipher analysis: Breaking non-standard encryption schemes
  • Crypto primitive identification: Recognizing standard algorithms (AES, RSA, RC4, etc.)

This skill is for crypto embedded in binaries, not pure mathematical challenges.

Conceptual Framework

Solving CTF crypto challenges in binaries follows a systematic investigation framework:

Phase 1: Crypto Detection

Goal: Determine if and where cryptography is used

Investigation approach:

  • Search for crypto-related strings and constants
  • Identify mathematical operation patterns (XOR, rotation, substitution)
  • Recognize standard algorithm signatures (S-boxes, key schedules, magic constants)
  • Find crypto API imports (CryptEncrypt, OpenSSL functions, etc.)

Key question: "Is there crypto, and if so, what kind?"

Phase 2: Algorithm Identification

Goal: Determine what cryptographic algorithm is being used

Investigation approach:

  • Compare constants to known crypto constants (initialization vectors, S-boxes)
  • Analyze operation patterns (rounds, block sizes, data flow)
  • Match code structure to known algorithm patterns
  • Check for library usage vs. custom implementation

Key question: "What algorithm is this, or is it custom?"

Phase 3: Implementation Analysis

Goal: Understand how the crypto is implemented and find weaknesses

Investigation approach:

  • Trace key material sources (hardcoded, derived, user input)
  • Analyze key generation/derivation logic
  • Identify mode of operation (ECB, CBC, CTR, etc.)
  • Look for implementation mistakes (IV reuse, weak RNG, etc.)
  • Check for custom modifications to standard algorithms

Key question: "How is it implemented, and where are the weaknesses?"

Phase 4: Key Extraction or Breaking

Goal: Recover the key or break the implementation to decrypt data

Investigation approach:

  • Extract hardcoded keys from binary data
  • Exploit weak key derivation (predictable RNG, poor entropy)
  • Break custom ciphers (frequency analysis, known-plaintext, etc.)
  • Leverage implementation flaws (timing, side channels, logic errors)
  • Reverse engineer decryption routines to understand transformation

Key question: "How do I recover the plaintext or key?"

Core Methodologies

Methodology 1: String and Constant Analysis

When to use: Initial discovery phase

Approach:

  1. Search for crypto keywords in strings
  2. Search for URLs, API endpoints that might receive encrypted data
  3. Locate large constant arrays (potential S-boxes, lookup tables)
  4. Compare constants to known crypto constants databases
  5. Follow cross-references from strings/constants to crypto functions

Tools:

  • get-strings with regexPattern for crypto keywords
  • get-strings with searchString for algorithm names
  • read-memory to inspect constant arrays
  • find-cross-references to trace usage

Methodology 2: Pattern Recognition

When to use: Identifying algorithm type

Approach:

  1. Look for characteristic loop structures (round counts)
  2. Identify substitution operations (table lookups)
  3. Recognize permutation patterns (bit shuffling)
  4. Spot modular arithmetic (public-key crypto)
  5. Match to known algorithm patterns (see patterns.md)

Tools:

  • get-decompilation with context to see algorithm structure
  • search-decompilation for operation patterns
  • Pattern reference (patterns.md) for recognition

Methodology 3: Data Flow Analysis

When to use: Understanding key management and data flow

Approach:

  1. Trace where plaintext/ciphertext enters the system
  2. Follow key material from source to usage
  3. Identify transformation steps (encrypt, decrypt, derive)
  4. Map data dependencies between functions
  5. Find where decrypted output is used or stored

Tools:

  • find-cross-references with context for data flow
  • rename-variables to clarify data roles (plaintext, key, iv)
  • change-variable-datatypes to reflect crypto types (uint8_t*, etc.)

Methodology 4: Weakness Discovery

When to use: Finding exploitable flaws in implementation

Common implementation weaknesses in CTF challenges:

  • Hardcoded keys in binary (directly extractable)
  • Weak key derivation (time-based seeds, simple XOR)
  • Poor random number generation (predictable, seeded with constant)
  • ECB mode (enables block analysis and manipulation)
  • IV reuse or predictable IVs
  • Custom ciphers with mathematical weaknesses
  • Incomplete key schedules or reduced rounds
  • Debug/test modes that bypass crypto

Investigation strategy:

  1. Check if key is hardcoded (read memory at key pointer)
  2. Analyze RNG initialization (is seed predictable?)
  3. Check for mode of operation weaknesses (ECB patterns)
  4. Look for test/debug backdoors
  5. Identify custom modifications to standard algorithms

Methodology 5: Reverse Engineering Decryption

When to use: When you need to understand or replicate crypto logic

Approach:

  1. Find decryption routine (may be encryption run backwards)
  2. Rename variables systematically (key, plaintext, ciphertext, state)
  3. Apply correct data types (byte arrays, word arrays)
  4. Document each transformation step with comments
  5. Replicate logic in Python script to test understanding
  6. Use binary's own decryption routine if possible

Tools:

  • rename-variables for clarity
  • change-variable-datatypes for correctness
  • set-decompilation-comment to document understanding
  • set-bookmark to mark important crypto functions

Flexible Workflow

CTF crypto challenges vary widely, so adapt this workflow to your specific challenge:

Quick Triage (5 minutes)

  1. Detect: Search for crypto strings, imports, constants
  2. Identify: Quick pattern match to known algorithms
  3. Assess: Is it standard crypto or custom? Strong or weak?

Deep Investigation (15-30 minutes)

  1. Understand: Decompile crypto functions, trace data flow
  2. Improve: Rename variables, fix types, document behavior
  3. Analyze: Find key sources, check for weaknesses
  4. Exploit: Extract keys, break weak implementations, or replicate logic

Exploitation (varies)

  1. Extract: Pull hardcoded keys from binary data
  2. Break: Exploit weak RNG, custom cipher flaws, or poor key derivation
  3. Decrypt: Use recovered keys or replicated logic to get flag

Verification

  1. Test: Verify decryption produces readable flag
  2. Document: Save findings in bookmarks and comments

Pattern Recognition

For detailed cryptographic algorithm patterns and recognition techniques, see patterns.md.

Key pattern categories:

  • Block ciphers: AES, DES, Blowfish (S-boxes, rounds, key schedules)
  • Stream ciphers: RC4, ChaCha (state evolution, keystream generation)
  • Public key: RSA, ECC (modular arithmetic, large integers)
  • Hash functions: MD5, SHA family (compression, magic constants)
  • Simple schemes: XOR, substitution, custom ciphers

CTF-Specific Considerations

CTF Challenge Design Patterns

Common CTF crypto scenarios:

  1. Weak custom cipher: Break via cryptanalysis (frequency, known-plaintext)
  2. Hardcoded key: Extract from .data section
  3. Weak RNG: Predict key from time-based or constant seed
  4. Standard crypto, weak key: Brute-force small keyspace
  5. Implementation bug: Exploit logic error to bypass crypto
  6. Obfuscated standard: Recognize despite code obfuscation

What CTF crypto is NOT:

  • Pure mathematical cryptanalysis (breaking AES-256 mathematically)
  • Side-channel attacks on hardware (timing, power analysis)
  • Network protocol attacks (though may combine with binary crypto)
  • Breaking modern TLS/SSL implementations

Time Management

Prioritize based on difficulty:

  1. Hardcoded keys (minutes): Search .data, extract bytes
  2. Weak RNG (10-15 min): Analyze seed, predict sequence
  3. Simple custom cipher (20-30 min): Frequency analysis, known-plaintext
  4. Implementation bugs (15-30 min): Find logic errors, test edge cases
  5. Complex custom cipher (30-60 min): Full reverse engineering and breaking

Know when to move on: If you've spent 30 minutes without progress, step back and reassess or try a different challenge.

Tool Usage Patterns

Discovery Phase

get-strings regexPattern="(AES|RSA|encrypt|decrypt|crypto|cipher|key)"
get-symbols includeExternal=true  → Check for crypto API imports
search-decompilation pattern="(xor|sbox|round|block)"

Analysis Phase

get-decompilation includeIncomingReferences=true includeReferenceContext=true
find-cross-references direction="both" includeContext=true
read-memory at suspected key/S-box locations

Improvement Phase

rename-variables: {"var_1": "key", "var_2": "plaintext", "var_3": "sbox"}
change-variable-datatypes: {"key": "uint8_t*", "block": "uint8_t[16]"}
apply-data-type: uint8_t[256] to S-box constants
set-decompilation-comment: Document crypto operations

Documentation Phase

set-bookmark type="Analysis" category="Crypto" → Mark crypto functions
set-bookmark type="Note" category="Key" → Mark key locations
set-comment → Document assumptions and findings

Integration with Other Skills

After Binary Triage

If binary-triage identified crypto indicators, start investigation at bookmarked locations:

search-bookmarks type="Warning" category="Crypto"
search-bookmarks type="TO

---

*Content truncated.*

When not to use it

  • For pure mathematical cryptanalysis
  • For hardware side-channel attacks
  • For network protocol attacks

Limitations

  • Limited to binary-embedded cryptography
  • Does not perform mathematical cryptanalysis

How it compares

It focuses on exploiting implementation flaws in compiled binaries rather than performing mathematical attacks on cryptographic primitives.

Compared to similar skills

ctf-crypto side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
ctf-crypto (this skill)35moNo flagsAdvanced
constant-time-analysis12moReviewAdvanced
idapython47moNo flagsAdvanced
skills028dReviewIntermediate

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