Top Related Projects
Symbolic execution tool
Security analysis tool for EVM bytecode. Supports smart contracts built for Ethereum, Hedera, Quorum, Vechain, Rootstock, Tron and other EVM-compatible blockchains.
An Analysis Tool for Smart Contracts
Ethereum smart contract fuzzer
Quick Overview
Slither is a static analysis framework for Solidity, designed to find vulnerabilities, enhance code comprehension, and assist in code review for smart contracts. It runs a suite of vulnerability detectors, prints visual information about contract details, and provides an API to easily write custom analyses.
Pros
- Comprehensive vulnerability detection with over 80 built-in detectors
- Fast analysis due to its implementation in Python
- Highly extensible with a well-documented API for custom detectors
- Integrates well with development workflows and CI/CD pipelines
Cons
- May produce false positives, requiring manual verification
- Limited to Solidity contracts; doesn't support other smart contract languages
- Requires some knowledge of smart contract security to interpret results effectively
- Can be overwhelming for beginners due to the large number of detectors and output
Code Examples
- Running Slither on a Solidity file:
slither example.sol
- Using Slither's Python API to analyze a contract:
from slither import Slither
slither = Slither('example.sol')
print([c.name for c in slither.contracts])
- Writing a custom detector:
from slither.detectors.abstract_detector import AbstractDetector
from slither.core.declarations import Function
class CustomDetector(AbstractDetector):
ARGUMENT = 'custom-detector'
HELP = 'Help message for custom detector'
IMPACT = DetectorClassification.HIGH
CONFIDENCE = DetectorClassification.HIGH
def _detect(self):
results = []
for contract in self.contracts:
for function in contract.functions:
if function.visibility in ['public', 'external'] and not function.is_constructor:
results.append({'contract': contract, 'function': function})
return results
Getting Started
To install Slither:
pip install slither-analyzer
To run Slither on a Solidity file:
slither example.sol
To use Slither's Python API:
from slither import Slither
slither = Slither('example.sol')
for contract in slither.contracts:
print(f"Contract: {contract.name}")
for function in contract.functions:
print(f" Function: {function.name}")
Competitor Comparisons
Symbolic execution tool
Pros of Manticore
- Performs dynamic symbolic execution, allowing for more thorough analysis of complex smart contract behaviors
- Can generate test cases and inputs that trigger specific contract states or vulnerabilities
- Supports multiple blockchain platforms beyond Ethereum
Cons of Manticore
- Slower analysis speed compared to Slither's static analysis approach
- Higher resource consumption, especially for complex contracts
- Steeper learning curve and more complex setup process
Code Comparison
Slither (static analysis):
from slither.slither import Slither
slither = Slither('contract.sol')
print(slither.slither_analyzer.analyze_contracts())
Manticore (dynamic symbolic execution):
from manticore.ethereum import ManticoreEVM
m = ManticoreEVM()
contract = m.solidity_create_contract('contract.sol')
m.run(timeout=600)
print(m.global_findings)
Slither focuses on quick, static code analysis, while Manticore performs more in-depth dynamic analysis. Slither is generally faster and easier to use, making it suitable for rapid vulnerability detection. Manticore offers more comprehensive analysis but requires more time and resources, making it better for thorough security audits and complex contract interactions.
Security analysis tool for EVM bytecode. Supports smart contracts built for Ethereum, Hedera, Quorum, Vechain, Rootstock, Tron and other EVM-compatible blockchains.
Pros of Mythril
- Performs symbolic execution and taint analysis for deeper vulnerability detection
- Supports multiple blockchain platforms beyond Ethereum
- Includes a user-friendly command-line interface for easy integration
Cons of Mythril
- Can be slower than Slither, especially on larger contracts
- May produce more false positives due to its comprehensive analysis
- Requires more system resources for complex analyses
Code Comparison
Slither example:
from slither.slither import Slither
slither = Slither('contract.sol')
print(slither.slither_core.contract_names)
Mythril example:
from mythril.mythril import MythrilDisassembler, MythrilAnalyzer
disassembler = MythrilDisassembler()
analyzer = MythrilAnalyzer()
contract = disassembler.load_from_solidity('contract.sol')
issues = analyzer.fire_lasers(contract)
Both tools offer Python APIs for integration, but Mythril's approach involves more steps due to its deeper analysis capabilities. Slither provides a more straightforward interface for quick contract analysis, while Mythril offers more granular control over the analysis process.
An Analysis Tool for Smart Contracts
Pros of Oyente
- Utilizes symbolic execution for deeper analysis
- Supports multiple Ethereum Virtual Machine (EVM) versions
- Can detect a wider range of vulnerabilities, including integer overflow and underflow
Cons of Oyente
- Less actively maintained compared to Slither
- May have longer analysis times due to symbolic execution
- Limited support for newer Solidity features and syntax
Code Comparison
Oyente (Python):
def check_integer_overflow(self):
overflow_ops = ['ADD', 'MUL', 'SUB']
for op in overflow_ops:
if op in self.instructions:
# Perform symbolic execution and check for overflow
Slither (Python):
def _check_arithmetic(self, node):
for ir in node.irs:
if isinstance(ir, (Binary, Assignment)):
if ir.type in [BinaryType.ADDITION, BinaryType.MULTIPLICATION]:
self._check_overflow(ir)
Both tools aim to detect vulnerabilities in smart contracts, but they use different approaches. Oyente employs symbolic execution for a more thorough analysis, while Slither focuses on static analysis techniques for faster results. Slither is generally more up-to-date and actively maintained, making it a popular choice for modern Solidity development.
Ethereum smart contract fuzzer
Pros of Echidna
- Performs dynamic analysis through fuzzing, potentially uncovering complex vulnerabilities
- Allows for custom property-based testing, enabling more specific and tailored security checks
- Can generate concrete examples of vulnerabilities, aiding in debugging and understanding issues
Cons of Echidna
- Requires more setup and configuration compared to static analysis tools
- May have longer execution times, especially for complex contracts or extensive test suites
- Can potentially miss certain vulnerabilities due to the nature of fuzzing and random input generation
Code Comparison
Slither (static analysis):
from slither.slither import Slither
slither = Slither('MyContract.sol')
print(slither.slither_core.detectors)
Echidna (fuzzing):
contract TestContract {
function echidna_test_balance() public view returns (bool) {
return address(this).balance == 0;
}
}
Slither focuses on static code analysis, while Echidna uses fuzzing techniques for dynamic testing. Slither can quickly scan contracts for known vulnerabilities, while Echidna allows for more in-depth, customized testing but requires more setup and execution time. Both tools complement each other in a comprehensive smart contract security assessment strategy.
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Slither, the smart contract static analyzer
Join the Empire Hacking Slack
- Discussions and Support
Slither is a Solidity & Vyper static analysis framework written in Python3. It runs a suite of vulnerability detectors, prints visual information about contract details, and provides an API to easily write custom analyses. Slither enables developers to find vulnerabilities, enhance their code comprehension, and quickly prototype custom analyses.
- Features
- Usage
- How to install
- Detectors
- Printers
- Tools
- API Documentation
- Getting Help
- FAQ
- License
- Publications
Features
- Detects vulnerable Solidity code with low false positives (see the list of trophies)
- Identifies where the error condition occurs in the source code
- Easily integrates into continuous integration and Hardhat/Foundry builds
- Built-in 'printers' quickly report crucial contract information
- Detector API to write custom analyses in Python
- Ability to analyze contracts written with Solidity >= 0.4
- Intermediate representation (SlithIR) enables simple, high-precision analyses
- Correctly parses 99.9% of all public Solidity code
- Average execution time of less than 1 second per contract
- Integrates with Github's code scanning in CI
- Support for Vyper smart contracts
Usage
Run Slither on a Hardhat/Foundry/Dapp/Brownie application:
slither .
This is the preferred option if your project has dependencies as Slither relies on the underlying compilation framework to compile source code.
However, you can run Slither on a single file that does not import dependencies:
slither tests/uninitialized.sol
How to install
Note
Slither requires Python 3.8+. If you're not going to use one of the supported compilation frameworks, you need solc, the Solidity compiler; we recommend using solc-select to conveniently switch between solc versions.
Using Pip
python3 -m pip install slither-analyzer
Using Git
git clone https://github.com/crytic/slither.git && cd slither
python3 -m pip install .
We recommend using a Python virtual environment, as detailed in the Developer Installation Instructions, if you prefer to install Slither via git.
Using Docker
Use the eth-security-toolbox
docker image. It includes all of our security tools and every major version of Solidity in a single image. /home/share
will be mounted to /share
in the container.
docker pull trailofbits/eth-security-toolbox
To share a directory in the container:
docker run -it -v /home/share:/share trailofbits/eth-security-toolbox
Integration
- For GitHub action integration, use slither-action.
- For pre-commit integration, use (replace
$GIT_TAG
with real tag)- repo: https://github.com/crytic/slither rev: $GIT_TAG hooks: - id: slither
- To generate a Markdown report, use
slither [target] --checklist
. - To generate a Markdown with GitHub source code highlighting, use
slither [target] --checklist --markdown-root https://github.com/ORG/REPO/blob/COMMIT/
(replaceORG
,REPO
,COMMIT
)
Detectors
For more information, see
- The Detector Documentation for details on each detector
- The Detection Selection to run only selected detectors. By default, all the detectors are run.
- The Triage Mode to filter individual results
Printers
Quick Review Printers
human-summary
: Print a human-readable summary of the contractsinheritance-graph
: Export the inheritance graph of each contract to a dot filecontract-summary
: Print a summary of the contractsloc
: Count the total number lines of code (LOC), source lines of code (SLOC), and comment lines of code (CLOC) found in source files (SRC), dependencies (DEP), and test files (TEST).
In-Depth Review Printers
call-graph
: Export the call-graph of the contracts to a dot filecfg
: Export the CFG of each functionsfunction-summary
: Print a summary of the functionsvars-and-auth
: Print the state variables written and the authorization of the functionsnot-pausable
: Print functions that do not usewhenNotPaused
modifier.
To run a printer, use --print
and a comma-separated list of printers.
See the Printer documentation for the complete lists.
Tools
slither-check-upgradeability
: Reviewdelegatecall
-based upgradeabilityslither-prop
: Automatic unit test and property generationslither-flat
: Flatten a codebaseslither-check-erc
: Check the ERC's conformanceslither-format
: Automatic patch generationslither-read-storage
: Read storage values from contractsslither-interface
: Generate an interface for a contract
See the Tool documentation for additional tools.
Contact us to get help on building custom tools.
API Documentation
Documentation on Slither's internals is available here.
Getting Help
Feel free to stop by our Slack channel (#ethereum) for help using or extending Slither.
-
The Printer documentation describes the information Slither is capable of visualizing for each contract.
-
The Detector documentation describes how to write a new vulnerability analyses.
-
The API documentation describes the methods and objects available for custom analyses.
-
The SlithIR documentation describes the SlithIR intermediate representation.
FAQ
How do I exclude mocks or tests?
- View our documentation on path filtering.
How do I fix "unknown file" or compilation issues?
- Because slither requires the solc AST, it must have all dependencies available.
If a contract has dependencies,
slither contract.sol
will fail. Instead, useslither .
in the parent directory ofcontracts/
(you should seecontracts/
when you runls
). If you have anode_modules/
folder, it must be in the same directory ascontracts/
. To verify that this issue is related to slither, run the compilation command for the framework you are using e.gnpx hardhat compile
. That must work successfully; otherwise, slither's compilation engine, crytic-compile, cannot generate the AST.
License
Slither is licensed and distributed under the AGPLv3 license. Contact us if you're looking for an exception to the terms.
Publications
Trail of Bits publication
- Slither: A Static Analysis Framework For Smart Contracts, Josselin Feist, Gustavo Grieco, Alex Groce - WETSEB '19
External publications
Title | Usage | Authors | Venue | Code |
---|---|---|---|---|
ReJection: A AST-Based Reentrancy Vulnerability Detection Method | AST-based analysis built on top of Slither | Rui Ma, Zefeng Jian, Guangyuan Chen, Ke Ma, Yujia Chen | CTCIS 19 | - |
MPro: Combining Static and Symbolic Analysis forScalable Testing of Smart Contract | Leverage data dependency through Slither | William Zhang, Sebastian Banescu, Leodardo Pasos, Steven Stewart, Vijay Ganesh | ISSRE 2019 | MPro |
ETHPLOIT: From Fuzzing to Efficient Exploit Generation against Smart Contracts | Leverage data dependency through Slither | Qingzhao Zhang, Yizhuo Wang, Juanru Li, Siqi Ma | SANER 20 | - |
Verification of Ethereum Smart Contracts: A Model Checking Approach | Symbolic execution built on top of Slitherâs CFG | Tam Bang, Hoang H Nguyen, Dung Nguyen, Toan Trieu, Tho Quan | IJMLC 20 | - |
Smart Contract Repair | Rely on Slitherâs vulnerabilities detectors | Xiao Liang Yu, Omar Al-Bataineh, David Lo, Abhik Roychoudhury | TOSEM 20 | SCRepair |
Demystifying Loops in Smart Contracts | Leverage data dependency through Slither | Ben Mariano, Yanju Chen, Yu Feng, Shuvendu Lahiri, Isil Dillig | ASE 20 | - |
Trace-Based Dynamic Gas Estimation of Loops in Smart Contracts | Use Slitherâs CFG to detect loops | Chunmiao Li, Shijie Nie, Yang Cao, Yijun Yu, Zhenjiang Hu | IEEE Open J. Comput. Soc. 1 (2020) | - |
SAILFISH: Vetting Smart Contract State-Inconsistency Bugs in Seconds | Rely on SlithIR to build a storage dependency graph | Priyanka Bose, Dipanjan Das, Yanju Chen, Yu Feng, Christopher Kruegel, and Giovanni Vigna | S&P 22 | Sailfish |
SolType: Refinement Types for Arithmetic Overflow in Solidity | Use Slither as frontend to build refinement type system | Bryan Tan, Benjamin Mariano, Shuvendu K. Lahiri, Isil Dillig, Yu Feng | POPL 22 | - |
Do Not Rug on Me: Leveraging Machine Learning Techniques for Automated Scam Detection | Use Slither to extract tokens' features (mintable, pausable, ..) | Mazorra, Bruno, Victor Adan, and Vanesa Daza | Mathematics 10.6 (2022) | - |
MANDO: Multi-Level Heterogeneous Graph Embeddings for Fine-Grained Detection of Smart Contract Vulnerabilities | Use Slither to extract the CFG and call graph | Hoang Nguyen, Nhat-Minh Nguyen, Chunyao Xie, Zahra Ahmadi, Daniel Kudendo, Thanh-Nam Doan and Lingxiao Jiang | IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA, 2022) | ge-sc |
Automated Auditing of Price Gouging TOD Vulnerabilities in Smart Contracts | Use Slither to extract the CFG and data dependencies | Sidi Mohamed Beillahi, Eric Keilty, Keerthi Nelaturu, Andreas Veneris, and Fan Long | 2022 IEEE International Conference on Blockchain and Cryptocurrency (ICBC) | Smart-Contract-Repair |
Modeling and Enforcing Access Control Policies for Smart Contracts | Extend Slither's data dependencies | Jan-Philipp Toberg, Jonas Schiffl, Frederik Reiche, Bernhard Beckert, Robert Heinrich, Ralf Reussner | IEEE International Conference on Decentralized Applications and Infrastructures (DAPPS), 2022 | SolidityAccessControlEnforcement |
Smart Contract Vulnerability Detection Based on Deep Learning and Multimodal Decision Fusion | Use Slither to extract the CFG | Weichu Deng, Huanchun Wei, Teng Huang, Cong Cao, Yun Peng, and Xuan Hu | Sensors 2023, 23, 7246 | - |
Semantic-enriched Code Knowledge Graph to Reveal Unknowns in Smart Contract Code Reuse | Use Slither to extract the code features (CFG, function, parameters types, ..) | Qing Huang, Dianshu Liao, Zhenchang Xing, Zhengkang Zuo, Changjing Wang, Xin Xia | ACM Transactions on Software Engineering and Methodology, 2023 | - |
Smart Contract Parallel Execution with Fine-Grained State Accesses | Use Slither to build state access graphs | Xiaodong Qi, Jiao Jiao, Yi Li | International Conference on Distributed Computing Systems (ICDCS), 2023 | - |
Bad Apples: Understanding the Centralized Security Risks in Decentralized Ecosystems | Implement an internal analysis on top of Slither | Kailun Yan , Jilian Zhang , Xiangyu Liu , Wenrui Diao , Shanqing Guo | ACM Web Conference April 2023 | - |
Identifying Vulnerabilities in Smart Contracts using Interval Analysis | Create 4 detectors on top of Slither | Åtefan-Claudiu Susan, Andrei Arusoaie | FROM 2023 | - |
Storage State Analysis and Extraction of Ethereum Blockchain Smart Contracts (no PDF in open access) | Rely on Slither's CFG and AST | Maha Ayub , Tania Saleem , Muhammad Janjua , Talha Ahmad | TOSEM 2023 | SmartMuv |
If you are using Slither on an academic work, consider applying to the Crytic $10k Research Prize.
Top Related Projects
Symbolic execution tool
Security analysis tool for EVM bytecode. Supports smart contracts built for Ethereum, Hedera, Quorum, Vechain, Rootstock, Tron and other EVM-compatible blockchains.
An Analysis Tool for Smart Contracts
Ethereum smart contract fuzzer
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