slither-audited-smart-contracts.py

# Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

"""Dataset of Slither audited Solidity Smart Contracts."""

import json

import datasets
import pandas as pd

_LABELS = {
    'all': [
        'uninitialized-state','constant-function-asm', 'locked-ether',
        'incorrect-shift', 'divide-before-multiply', 'unused-return',
        'write-after-write', 'reentrancy-no-eth', 'unchecked-lowlevel',
        'incorrect-equality', 'weak-prng', 'arbitrary-send',
        'uninitialized-local', 'reentrancy-eth', 'shadowing-abstract',
        'controlled-delegatecall', 'unchecked-transfer', 'erc20-interface',
        'controlled-array-length', 'tautology', 'shadowing-state',
        'tx-origin', 'unprotected-upgrade', 'suicidal',
        'boolean-cst', 'unchecked-send', 'msg-value-loop',
        'erc721-interface', 'constant-function-state', 'delegatecall-loop',
        'mapping-deletion', 'reused-constructor', 'uninitialized-storage',
        'public-mappings-nested', 'array-by-reference','backdoor',
        'rtlo', 'name-reused','safe'],
    'big': ['access-control', 'arithmetic', 'other', 'reentrancy', 'safe', 'unchecked-calls'],
    'small': ['access-control', 'arithmetic', 'other', 'reentrancy', 'safe', 'unchecked-calls', 'locked-ether', 'bad-randomness', 'double-spending']
}


_CITATION = """\
@misc{rossini2022slitherauditedcontracts,
    title = {Slither Audited Smart Contracts Dataset},
    author={Martina Rossini},
    year={2022}
}
"""


_DESCRIPTION = """\
This dataset contains source code and deployed bytecode for Solidity Smart Contracts \
that have been verified on Etherscan.io, along with a classification of their vulnerabilities \
according to the Slither static analysis framework.
"""

_HOMEPAGE = "https://github.com/mwritescode/slither-audited-smart-contracts"

_LICENSE = "MIT"


_URLS = {
    "raw": [f"data/raw/contracts{i}.parquet" for i in range(9)],
    "label_mappings": "data/label_mappings.json",
    "big-splits": "data/big-splits.csv",
    "small-splits": "data/small-splits.csv"
}


class SlitherAuditedSmartContracts(datasets.GeneratorBasedBuilder):
    """Slither Audited Smart Contracts dataset, including source code and deployed bytecode"""

    VERSION = datasets.Version("1.1.0")

    # You will be able to load one or the other configurations in the following list with
    # data = datasets.load_dataset('slither-audited-smart-contracts', 'all-plain-text')
    BUILDER_CONFIGS = [
        datasets.BuilderConfig(name="all-plain-text", version=VERSION, description="Complete dataset with plain-text slither results"),
        datasets.BuilderConfig(name="all-multilabel", version=VERSION, description="Complete dataset with slither results as sequence of labels"),
        datasets.BuilderConfig(name="big-plain-text", version=VERSION, description="Dataset containing only labels having numerous examples with plain-text slither results"),
        datasets.BuilderConfig(name="big-multilabel", version=VERSION, description="Dataset containing only labels having numerous examples with slither results as a sequence of labels"),
        datasets.BuilderConfig(name="small-plain-text", version=VERSION, description="Dataset containing only labels having few examples with plain-text slither results"),
        datasets.BuilderConfig(name="small-multilabel", version=VERSION, description="Dataset containing only labels having few examples with slither results as a sequence of labels")
    ]

    def _info(self):
        if "plain-text" in self.config.name: 
            features = datasets.Features(
                {
                    "address": datasets.Value("string"),
                    "source_code": datasets.Value("string"),
                    "bytecode": datasets.Value("string"),
                    "slither": datasets.Value("string"),
                }
            )
        else: 
            features = datasets.Features(
                {
                    "address": datasets.Value("string"),
                    "source_code": datasets.Value("string"),
                    "bytecode": datasets.Value("string"),
                    "slither": datasets.Sequence(
                        datasets.features.ClassLabel(
                            names=_LABELS[self.config.name.split('-')[0]]
                        )
                    )
                    
                }
            )
        return datasets.DatasetInfo(
            description=_DESCRIPTION,
            features=features, 
            homepage=_HOMEPAGE,
            license=_LICENSE,
            citation=_CITATION,
        )

    def _split_generators(self, dl_manager):
        data_dir = dl_manager.download_and_extract(_URLS)

        generators = [
            datasets.SplitGenerator(
                name=datasets.Split.TRAIN,
                gen_kwargs={
                    "filepath": data_dir,
                    "split": "train"
                },
            )]
        if self.config.name.split('-')[0] != 'all':
            generators += [
                datasets.SplitGenerator(
                name=datasets.Split.TEST,
                gen_kwargs={
                    "filepath": data_dir,
                    "split": "test"
                },
            ),
            datasets.SplitGenerator(
                name=datasets.Split.VALIDATION,
                gen_kwargs={
                    "filepath": data_dir,
                    "split": "val"
                },
            )]
        return generators

    def __elaborate_results(self, slither_res, mappings):
        if not slither_res["results"]:
            contract_class = ["safe"]
        else:
            contract_class = [elem["check"] for elem in slither_res["results"]["detectors"]]
            if self.config.name.split('-')[0] != 'all':
                with open(mappings, 'r') as mappings_file:
                    class_mappings = json.load(mappings_file)
                contract_class = list(set([class_mappings[cls] for cls in contract_class]) - {'ignore'})
                if len(contract_class) == 0:
                    contract_class = ['safe']
        return contract_class


    def _generate_examples(self, filepath, split):
        prefix = self.config.name.split('-')[0]
        split_file = filepath[f"{prefix}-splits"] if prefix != 'all' else None

        for chunk in filepath['raw']:
            data = pd.read_parquet(chunk)
            if split_file:
                split_addrs = pd.read_csv(split_file).query('split == @split')['contracts']
                data = data[data['contracts'].isin(split_addrs)]

            for idx, row in data.iterrows():
                if 'plain-text' in self.config.name:
                    yield idx, {
                        "address": row['contracts'],
                        "source_code": row['source_code'],
                        "bytecode": row['bytecode'],
                        "slither": row['results'],
                    }
                else:
                    slither = json.loads(row['results'])
                    contract_classes = self.__elaborate_results(slither, filepath['label_mappings'])
                    yield idx, {
                        "address": row['contracts'],
                        "source_code": row['source_code'],
                        "bytecode": row['bytecode'],
                        "slither": contract_classes,
                    }