merkleasy 0.0.3.1

Simple, easy-to-use merkle tree library

Merkle Structures

This is a simple-to-use implementation of the concept of Merklized data structures, e.g. the Merkle Tree and the Merkle Mountain Range. There is a single main class, merkleasy.Tree, three error classes, and two configuration functions. See the Usage section for details. This uses sha256 as the default hash algorithm, but it can use any in theory.

Status

• Tests
• Implementation
• Proofs
• Usage Documentation
• Publish to pypi

Installation

pip install merkleasy

Testing

To develop or test, fork or clone the repo and install the dependency.

Windows Setup

python -m venv venv/
source venv/Scripts/activate
pip install pycelium-specifications

*nix Setup

python -m venv venv/
source venv/bin/activate
pip install pycelium-specifications

Running Tests

There are two test files: the first is a unit test suite; the second is a specification compliance test. Run them with the following:

python tests/test_classes.py
python tests/test_specification.py

These files demonstrate all the intended behaviors of the class and rule out many unintended behaviors. They use randint and many repetitions to ensure that the test suite is thorough. The tests are also a form of technical documentation; any questions about the code can likely be answered by reading through them.

Classes

• ImplementationError(BaseException)
• UsagePreconditionError(BaseException)
• SecurityError(BaseException)
• Tree

The Usage section describes for each method/function which (if any) of these errors it can raise.

Functions and Methods

• set_hash_function(hash_function: Callable[[bytes], bytes]) -> None
• get_hash_function() -> Callable

Tree

• __init__(self, left: Tree | bytes, right: Tree | bytes) -> None
• __str__(self) -> str
• __repr__(self) -> str
• __eq__(self, other: object) -> bool
• __hash__(self) -> int
• to_dict(self) -> dict
• to_json(self, pretty: bool = False) -> str
• @classmethod from_leaves(cls, leaves: list[bytes]) -> Tree
• @classmethod from_dict(cls, data: dict) -> Tree
• @classmethod from_json(cls, data: str) -> Tree
• prove(self, leaf: bytes, verbose: bool = False) -> list[bytes]
• @staticmethod verify(root: bytes, leaf: bytes, proof: list[bytes]) -> None

Usage

Usage examples are shown below.

Tree.from_leaves

The easiest way to use this to create a Merkle Tree is with from_leaves:

from merkleasy import Tree

leaves = [b'leaf1', b'leaf2', b'leaf3', b'leaf4', b'etc']
tree = Tree.from_leaves(leaves)

Note that all leaves are hashed by the from_leaves method.

Raises UsagePreconditionError upon invalid input.

Tree.__init__

To make custom Merklized data structures, use the __init__ method:

from hashlib import sha256
from merkleasy import Tree

leaf1 = sha256(b'leaf1').digest()
leaf2 = sha256(b'leaf2').digest()
leaf3 = sha256(b'leaf3').digest()
leaf4 = sha256(b'leaf4').digest()
leaf5 = sha256(b'leaf5').digest()
another_whole_tree = Tree.from_leaves([b'123', b'456', b'789'])

tree = Tree(
    Tree(
        leaf1,
        Tree(
            Tree(leaf2, leaf3),
            Tree(leaf4, leaf5)
        )
    ),
    another_whole_tree
)

Raises UsagePreconditionError upon invalid input.

Tree.to_dict and Tree.from_dict

A Tree structure can be converted to a dict and back.

from merkleasy import Tree

tree = Tree.from_leaves([b'leaf1', b'leaf2', b'leaf3'])
serialized = tree.to_dict()
deserialized = Tree.from_dict(serialized)
assert deserialized == tree

Tree.from_dict raises any of the following upon invalid input:

• UsagePreconditionError
• ValueError
• SecurityError

Tree.to_json and Tree.from_json

Serialization and deserialization of a structure uses to_json and from_json:

from merkleasy import Tree

tree = Tree.from_leaves([b'leaf1', b'leaf2', b'leaf3'])
serialized = tree.to_json()
pretty = tree.to_json(pretty=True)
deserialized = Tree.from_json(serialized)
assert deserialized == Tree.from_json(pretty)

Tree.from_json raises any of the following upon invalid input:

• json.decoder.JSONDecodeError
• UsagePreconditionError
• ValueError
• SecurityError

Tree.prove

Inclusion proofs can be generated using the prove method:

from merkleasy import Tree

tree = Tree.from_leaves([b'leaf1', b'leaf2', b'leaf3'])
proof = tree.prove(b'leaf2')

Each inclusion proof is a list of bytes, where the first byte in each item in the list is one of the codes from interfaces.ProofOp. An optional parameter, verbose, can be set to True in the call to prove if the proof should include checks for intermediate values; if verbose is left to the default False value, a shorter proof that checks only the final hash will be produced. There are no security advantages to using verbose proofs; it is primarily useful for manual inspection by including intermediate, calculated values. However, the functionality exists as a side-effect of preventing malicious proofs from tricking the validator -- test_Tree_verify_does_not_validate_malicious_proof contains an example attack.

Raises UsagePreconditionError upon invalid input.

Tree.verify

Inclusion proofs can be verified using Tree.verify:

from merkleasy import Tree, UsagePreconditionError, SecurityError

tree = Tree.from_leaves([b'leaf1', b'leaf2', b'leaf3'])
leaf = b'leaf1'
proof1 = tree.prove(leaf)
proof2 = tree.prove(b'leaf2')

try:
    Tree.verify(tree.root, leaf, proof1)
    # expected result
    print(f'verified proof {[p.hex() for p in proof1]} for {leaf=}')
except UsagePreconditionError as e:
    print(f'invalid use of library: {e}')
except ValueError as e:
    print(f'invalid proof supplied: {e}')
except SecurityError as e:
    print(f'error encountered: {e}')

try:
    Tree.verify('some string', leaf, proof1)
    print(f'verified proof {[p.hex() for p in proof1]} for {leaf=}')
except UsagePreconditionError as e:
    # expected result
    print(f'invalid use of library: {e}')
except ValueError as e:
    print(f'invalid proof supplied: {e}')
except SecurityError as e:
    print(f'error encountered: {e}')

try:
    Tree.verify(tree.root, leaf, [b'\x99', *proof2])
    print(f'verified proof {[p.hex() for p in proof2]} for {leaf=}')
except UsagePreconditionError as e:
    print(f'invalid use of library: {e}')
except ValueError as e:
    # expected result
    print(f'invalid proof supplied: {e}')
except SecurityError as e:
    print(f'error encountered: {e}')

try:
    Tree.verify(tree.root, leaf, proof2)
    print(f'verified proof {[p.hex() for p in proof2]} for {leaf=}')
except UsagePreconditionError as e:
    print(f'invalid use of library: {e}')
except ValueError as e:
    print(f'invalid proof supplied: {e}')
except SecurityError as e:
    # expected result
    print(f'error encountered: {e}')

This static method parses the proof, interpreting the first byte in each proof step as a code from interfaces.ProofOp. It ensures that the proof starts with the leaf and ends with the root, and then it follows the proof operations.

Raises UsagePreconditionError or ValueError when provided invalid parameters. Raises SecurityError when provided an invalid proof. If all checks pass, it executes without error and returns None.

get_hash_function

To access the currently-set hash function, use the following:

from merkleasy import get_hash_function

hash_function = get_hash_function()
print(hash_function(b'abc').hex())
# ba7816bf8f01cfea414140de5dae2223b00361a396177a9cb410ff61f20015ad

set_hash_function

The package uses sha256 by default, but it can be used with any hash function. This is accomplished by passing a Callable that takes a bytes parameter, applies a hash algorithm, and returns a bytes value. For example, to use sha3_256:

from hashlib import sha3_256
from merkleasy import set_hash_function, get_hash_function

set_hash_function(lambda preimage: sha3_256(preimage).digest())
print(get_hash_function()(b'abc'))
# 3a985da74fe225b2045c172d6bd390bd855f086e3e9d525b46bfe24511431532

Raises ImplementationError if the Callable parameter passed in does not meet the requirements.

Note that calling set_hash_function will have no effect on any Trees created prior. However, it will affect any calls to Tree.verify with proofs from those Trees. If you plan to use the library with a custom hash function, then set_hash_function should be called during a setup routine.

If you want to handle multiple Trees created with different hash algorithms, then a context handler like the below might be useful:

from hashlib import sha3_256
from merkleasy import set_hash_function, get_hash_function, Tree


class HashAlgoSwitch:
    """Context manager for switching out algorithms for Tree use."""
    def __init__(self, new_hash_function) -> None:
        self.original_hash_function = get_hash_function()
        set_hash_function(new_hash_function)
    def __enter__(self) -> None:
        return
    def __exit__(self, __exc_type, __exc_value, __traceback) -> None:
        set_hash_function(self.original_hash_function)


def alt_create_tree(leaves) -> Tree:
    with HashAlgoSwitch(lambda data: sha3_256(data).digest()):
        return Tree.from_leaves(leaves)


leaves = [b'one', b'two', b'three']
tree1 = Tree.from_leaves(leaves)
tree2 = alt_create_tree(leaves)
assert tree1 != tree2

Security / Usage Note

Any application/library that uses this package should use a schema for leaves that is anything except exactly 32 bytes. This prevents the second-preimage attack whereby the application is tricked into thinking that an intermediate node in the tree is a leaf. It is hard to envision a scenario in which this could actually become a serious security issue, but it is worth keeping in mind during application development.

So in addition to verifying an inclusion proof, verify that the data fits the leaf schema. Preferably, leaf schema should not be bytes, and a serializer to bytes from the schema should be used on the leaf before verifying the inclusion proof.

ISC License

Copyleft (c) 2023 k98kurz

Permission to use, copy, modify, and/or distribute this software for any purpose with or without fee is hereby granted, provided that the above copyleft notice and this permission notice appear in all copies.

Exceptions: this permission is not granted to Alphabet/Google, Amazon, Apple, Microsoft, Netflix, Meta/Facebook, Twitter, or Disney; nor is permission granted to any company that contracts to supply weapons or logistics to any national military; nor is permission granted to any national government or governmental agency; nor is permission granted to any employees, associates, or affiliates of these designated entities.

THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS SOFTWARE.