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Symmetric Cipher Attacks

OrganizationPopular
yaklang
symmetric-cipher-attacks

Symmetric cipher attack playbook. Use when exploiting block cipher mode weaknesses (CBC padding oracle, ECB cut-and-paste, bit flipping), stream cipher key reuse, or meet-in-the-middle attacks.

Overview

Publisheryaklang
Repositoryhack-skills
Skill namesymmetric-cipher-attacks
Stars
2.3K
Forks
314
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by yaklang on GitHub. Read the source before you install it.

Installation

Install the Symmetric Cipher Attacks AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/yaklang/hack-skills/tree/main/skills/symmetric-cipher-attacks
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/yaklang/hack-skills.git /tmp/hack-skills
mkdir -p .claude/skills
cp -r /tmp/hack-skills/skills/symmetric-cipher-attacks .claude/skills/symmetric-cipher-attacks
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Symmetric Cipher Attacks in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Symmetric Cipher Attacks on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Symmetric Cipher Attacks is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

SKILL: Symmetric Cipher Attacks — Expert Cryptanalysis Playbook

AI LOAD INSTRUCTION: Expert techniques for attacking symmetric encryption in CTF and authorized testing. Covers CBC padding oracle, CBC bit flipping, ECB detection and exploitation, stream cipher key reuse, LFSR/LCG state recovery, RC4 biases, and meet-in-the-middle attacks. Base models often confuse ECB and CBC attack strategies or fail to set up byte-at-a-time ECB decryption correctly.

0. RELATED ROUTING

Advanced Reference

Also load BLOCK_CIPHER_ATTACKS.md when you need:

  • Detailed attack scripts with full Python implementations
  • Step-by-step byte-at-a-time ECB walkthrough
  • PadBuster usage and custom padding oracle scripts
  • LCG/LFSR recovery implementation

Quick attack selection

Observable BehaviorLikely WeaknessAttack
Same plaintext → same ciphertext (block-aligned)ECB modeCut-and-paste / byte-at-a-time
Padding error distinguishableCBC padding oracleDecrypt without key
Can modify ciphertext, affects next blockCBC mode, no integrity checkBit flipping
Key reused with XOR/stream cipherTwo-time padXOR ciphertexts together
Predictable PRNG outputLCG or LFSRState recovery
Double encryption used2DES-likeMeet in the middle

1. PADDING ORACLE ATTACK (CBC MODE)

1.1 Mechanism

CBC decryption: P_i = D_K(C_i) ⊕ C_{i-1}

If the server reveals whether padding is valid (PKCS#7), we can decrypt any block by manipulating the previous ciphertext block.

1.2 Attack Steps

Target: decrypt block C_i (with unknown plaintext P_i)

For byte position b = 15 down to 0 (last byte first):
  padding_value = 16 - b
  
  For guess = 0x00 to 0xFF:
    Construct modified C'_{i-1}:
      - Bytes 0..b-1: original C_{i-1} bytes
      - Byte b: guess
      - Bytes b+1..15: calculated to produce correct padding
    
    Send (C'_{i-1} || C_i) to oracle
    
    If oracle says "valid padding":
      intermediate_byte[b] = guess ⊕ padding_value
      plaintext_byte[b] = intermediate_byte[b] ⊕ original_C_{i-1}[b]

1.3 Python Implementation

python
def padding_oracle_attack(ciphertext, block_size, oracle):
    """
    oracle(ct) returns True if padding is valid, False otherwise.
    ciphertext includes IV as first block.
    """
    blocks = [ciphertext[i:i+block_size] for i in range(0, len(ciphertext), block_size)]
    plaintext = b""

    for block_idx in range(1, len(blocks)):
        prev_block = bytearray(blocks[block_idx - 1])
        curr_block = blocks[block_idx]
        intermediate = [0] * block_size
        decrypted = [0] * block_size

        for byte_pos in range(block_size - 1, -1, -1):
            padding_val = block_size - byte_pos

            for guess in range(256):
                modified = bytearray(block_size)
                modified[byte_pos] = guess

                for j in range(byte_pos + 1, block_size):
                    modified[j] = intermediate[j] ^ padding_val

                test_ct = bytes(modified) + curr_block
                if oracle(test_ct):
                    if byte_pos == block_size - 1:
                        # Verify it's not a false positive (padding 0x02 0x02)
                        check = bytearray(modified)
                        check[byte_pos - 1] ^= 1
                        if not oracle(bytes(check) + curr_block):
                            continue

                    intermediate[byte_pos] = guess ^ padding_val
                    decrypted[byte_pos] = intermediate[byte_pos] ^ prev_block[byte_pos]
                    break

        plaintext += bytes(decrypted)

    return plaintext

1.4 Tools

bash
# PadBuster
padbuster http://target/decrypt?ct= CIPHERTEXT_HEX 16 -encoding 0
padbuster http://target/decrypt?ct= CIPHERTEXT_HEX 16 -encoding 0 -plaintext "admin=true"

2. CBC BIT FLIPPING

2.1 Concept

Flipping bit at position j in C_{i-1} flips the same bit at position j in P_i (and corrupts all of P_{i-1}).

Original:  P_i[j] = D_K(C_i)[j] ⊕ C_{i-1}[j]
Modified:  P'_i[j] = D_K(C_i)[j] ⊕ C'_{i-1}[j]
                    = P_i[j] ⊕ (C_{i-1}[j] ⊕ C'_{i-1}[j])

2.2 Practical Example

python
def cbc_bitflip(ciphertext, block_size, target_byte_pos, old_value, new_value):
    """
    Flip byte in plaintext block N+1 by modifying ciphertext block N.
    target_byte_pos: absolute position in plaintext (0-indexed)
    """
    ct = bytearray(ciphertext)
    block_num = target_byte_pos // block_size
    byte_in_block = target_byte_pos % block_size

    # Modify previous block (block_num - 1) to flip target byte
    modify_pos = (block_num - 1) * block_size + byte_in_block

    # XOR to cancel old value and set new value
    ct[modify_pos] ^= old_value ^ new_value
    return bytes(ct)

# Example: flip "admin=0" to "admin=1"
# If "admin=0" is at byte position 22 (block 1, byte 6):
modified_ct = cbc_bitflip(ciphertext, 16, 22, ord('0'), ord('1'))

3. ECB MODE ATTACKS

3.1 Detection

python
def detect_ecb(ciphertext, block_size=16):
    """ECB produces identical blocks for identical plaintext blocks."""
    blocks = [ciphertext[i:i+block_size] for i in range(0, len(ciphertext), block_size)]
    return len(blocks) != len(set(blocks))

# Force detection: send repeated plaintext
test_input = b"A" * 48  # at least 3 blocks of identical data
# If response has repeated blocks → ECB

3.2 ECB Cut-and-Paste

Reorder ciphertext blocks to create new valid plaintexts.

Original blocks:
  Block 0: "email=foo@bar.c"
  Block 1: "om&role=user&uid"
  Block 2: "=10\x0d\x0d\x0d..."

Attack: craft input so "admin" + padding lands in its own block,
then swap it in place of "user" block.

Step 1: Send email that aligns "admin" + PKCS7 to a block:
  email = "foo@bar.coadmin\x0b\x0b\x0b\x0b\x0b\x0b\x0b\x0b\x0b\x0b\x0b"
  → Block 1 encrypts "admin\x0b\x0b..."  (save this block)

Step 2: Send email that puts "role=" at end of block:
  email = "foo@bar.co"
  → Block 2 = "=user&uid=10..."  (but we replace this)

Step 3: Replace last block with saved "admin\x0b..." block

3.3 Byte-at-a-Time ECB Decryption

Decrypt unknown appended secret one byte at a time.

python
def ecb_byte_at_a_time(encrypt_oracle, block_size=16):
    """
    encrypt_oracle(input_bytes) = AES_ECB(input || unknown_secret)
    Returns the unknown_secret.
    """
    secret = b""
    secret_len = len(encrypt_oracle(b"")) 

    for i in range(secret_len):
        block_num = i // block_size
        pad_len = block_size - 1 - (i % block_size)
        padding = b"A" * pad_len

        # Build lookup table
        target_ct = encrypt_oracle(padding)
        target_block = target_ct[block_num * block_size:(block_num + 1) * block_size]

        for byte_val in range(256):
            test_input = padding + secret + bytes([byte_val])
            test_ct = encrypt_oracle(test_input)
            test_block = test_ct[block_num * block_size:(block_num + 1) * block_size]

            if test_block == target_block:
                secret += bytes([byte_val])
                break

    return secret

4. STREAM CIPHER ATTACKS

4.1 Known Plaintext / Key Reuse (Two-Time Pad)

python
def two_time_pad(c1, c2, known_crib=None):
    """
    c1 = m1 ⊕ K, c2 = m2 ⊕ K (same key K)
    c1 ⊕ c2 = m1 ⊕ m2 (key cancels)
    """
    xored = bytes(a ^ b for a, b in zip(c1, c2))

    if known_crib:
        results = []
        for offset in range(len(xored) - len(known_crib) + 1):
            candidate = bytes(
                xored[offset + i] ^ known_crib[i] for i in range(len(known_crib))
            )
            if all(0x20 <= b <= 0x7e for b in candidate):
                results.append((offset, candidate))
        return results
    return xored

4.2 Single-Byte XOR Brute Force

python
def single_byte_xor_crack(ciphertext):
    """Brute force single-byte XOR key using frequency analysis."""
    english_freq = {
        'e': 12.7, 't': 9.1, 'a': 8.2, 'o': 7.5, 'i': 7.0,
        'n': 6.7, 's': 6.3, 'h': 6.1, 'r': 6.0, 'd': 4.3,
    }
    best_score, best_key, best_plaintext = 0, 0, b""

    for key in range(256):
        plaintext = bytes(b ^ key for b in ciphertext)
        score = sum(
            english_freq.get(chr(b).lower(), 0)
            for b in plaintext if 0x20 <= b <= 0x7e
        )
        if score > best_score:
            best_score = score
            best_key = key
            best_plaintext = plaintext

    return best_key, best_plaintext

4.3 Repeating-Key XOR (Kasiski-like)

python
def repeating_xor_crack(ciphertext, max_keylen=40):
    """Crack repeating-key XOR using Hamming distance for key length."""
    def hamming(a, b):
        return sum(bin(x ^ y).count('1') for x, y in zip(a, b))

    # Find key length
    scores = []
    for kl in range(2, max_keylen + 1):
        blocks = [ciphertext[i:i+kl] for i in range(0, len(ciphertext) - kl, kl)]
        if len(blocks) < 4:
            continue
        dist = sum(hamming(blocks[i], blocks[i+1]) for i in range(min(3, len(blocks)-1)))
        normalized = dist / (min(3, len(blocks)-1) * kl)
        scores.append((normalized, kl))

    best_keylen = sorted(scores)[0][1]

    # Crack each position with single-byte XOR
    key = b""
    for i in range(best_keylen):
        column = bytes(ciphertext[j] for j in range(i, len(ciphertext), best_keylen))
        k, _ = single_byte_xor_crack(column)
        key += bytes([k])

    return key

4.4 LFSR State Recovery (Berlekamp-Massey)

python
def berlekamp_massey_gf2(output_bits):
    """Recover LFSR feedback polynomial from output sequence over GF(2)."""
    n = len(output_bits)
    C = [0] * (n + 1)
    B = [0] * (n + 1)
    C[0] = B[0] = 1
    L = 0
    m = 1
    b = 1

    for N in range(n):
        d = output_bits[N]
        for i in range(1, L + 1):
            d ^= C[i] & output_bits[N - i]

        if d == 0:
            m += 1
        elif 2 * L <= N:
            T = C[:]
            for i in range(m, n + 1):
                C[i] ^= B[i - m]
            L = N + 1 - L
            B = T
            b = d
            m = 1
        else:
            for i in range(m, n + 1):
                C[i] ^= B[i - m]
            m += 1

    return C[:L + 1], L

4.5 RC4 Biases

BiasDescriptionExploitation
Initial byte biasP(K[0] = 0) ≈ 2/256 (double normal)Statistical plaintext recovery for first bytes
Fluhrer-Mantin-ShamirWeak key scheduling with IVWEP attack (historical)
NOMORE attackLong-term biases in keystreamTLS/RC4 plaintext recovery (2^24-2^26 ciphertexts)
Invariance weaknessKey-dependent biases throughout streamStatistical attack on many encryptions

5. MEET-IN-THE-MIDDLE

5.1 Double Encryption Attack

Double encryption: C = E_K2(E_K1(P))
Brute force: 2^(2n) expected
MITM:        2^(n+1) + storage for 2^n entries

Attack:
1. Encrypt P with all possible K1 → store (E_K1(P), K1) in table
2. Decrypt C with all possible K2 → check if D_K2(C) matches any entry
3. Match found → (K1, K2) recovered
python
from itertools import product

def meet_in_the_middle(encrypt, decrypt, plaintext, ciphertext, keyspace_bits):
    """MITM attack on double encryption."""
    # Phase 1: build encryption table
    enc_table = {}
    for k1 in range(2**keyspace_bits):
        intermediate = encrypt(plaintext, k1)
        enc_table[intermediate] = k1

    # Phase 2: decrypt and look up
    for k2 in range(2**keyspace_bits):
        intermediate = decrypt(ciphertext, k2)
        if intermediate in enc_table:
            k1 = enc_table[intermediate]
            return k1, k2

    return None

6. DECISION TREE

Symmetric cipher challenge — what can you observe?
│
├─ Can you detect the mode?
│  ├─ Repeated input → repeated output blocks?
│  │  └─ Yes → ECB mode
│  │     ├─ Can control prefix → byte-at-a-time decryption
│  │     ├─ Can reorder blocks → cut-and-paste
│  │     └─ Can detect block boundaries → block alignment oracle
│  │
│  ├─ Error message differs for bad padding?
│  │  └─ Yes → Padding oracle (CBC)
│  │     └─ PadBuster or custom script
│  │
│  └─ Can modify ciphertext and observe effect?
│     └─ Next-block plaintext changes → CBC bit flipping
│
├─ Stream cipher or XOR?
│  ├─ Key reused on different messages?
│  │  └─ XOR ciphertexts → crib drag
│  │
│  ├─ Known plaintext-ciphertext pair?
│  │  └─ Recover keystream directly
│  │
│  ├─ Single-byte XOR key?
│  │  └─ Brute force 256 keys with frequency analysis
│  │
│  ├─ Repeating-key XOR?
│  │  └─ Hamming distance → key length → per-position crack
│  │
│  └─ LFSR-based?
│     └─ Berlekamp-Massey for state/polynomial recovery
│
├─ PRNG-based cipher?
│  ├─ LCG → truncated output lattice attack
│  ├─ Mersenne Twister → 624 outputs → full state recovery
│  └─ Custom PRNG → analyze period and state size
│
├─ Double / triple encryption?
│  └─ Meet-in-the-middle
│
└─ RC4 specifically?
   ├─ Single encryption → initial byte bias
   ├─ Many encryptions same key → statistical attack
   └─ IV prepended to key → FMS attack (WEP-like)

7. TOOLS

ToolPurpose
PadBusterAutomated padding oracle exploitation
xortoolRepeating-key XOR analysis (key length detection + cracking)
CyberChefQuick XOR, encoding, block cipher operations
SageMathLFSR/LCG analysis, lattice-based recovery
pycryptodomeAES/DES implementation for testing
hashcatBrute force symmetric keys (GPU-accelerated)
Custom PythonAll attacks above implementable in pure Python

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Symmetric Cipher Attacks AI skill do?

Symmetric cipher attack playbook. Use when exploiting block cipher mode weaknesses (CBC padding oracle, ECB cut-and-paste, bit flipping), stream cipher key reuse, or meet-in-the-middle attacks.

Why use Symmetric Cipher Attacks on TypingMind?

Because you install it once and use it with any model. Symmetric Cipher Attacks is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Symmetric Cipher Attacks in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/yaklang/hack-skills/tree/main/skills/symmetric-cipher-attacks. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Symmetric Cipher Attacks?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Symmetric Cipher Attacks?

As many as you like. As long as a model supports skills, you can use Symmetric Cipher Attacks with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Symmetric Cipher Attacks AI skill free?

Yes. It is published on GitHub by yaklang under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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