onionnux
mythril
| onionnux | mythril | |
|---|---|---|
| 1 | 12 | |
| 16 | 3,725 | |
| - | 1.1% | |
| 0.0 | 8.1 | |
| about 3 years ago | 7 days ago | |
| Python | Python | |
| Creative Commons Zero v1.0 Universal | MIT License |
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onionnux
mythril
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Fuzzing Around: Better Smart Contract Testing through the Power of Random Inputs
Fuzzing has been around for a while in traditional full-stack development, but a new class of tools is here that can apply fuzzing to smart contract testing in web3. Some of the fuzzing tools include the open source Echidna and MythX.
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Mythril an easy way to audit your smart contracts.
Mythril is part of the core tools of Consensys Mythx one of the biggest Smart Contract security services for Ethereum, which main goal is to ensure development teams avoid costly errors and make Ethereum more secure and trustworthy… or at least that is what their page says.
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How do you guarantee the security of your smart contracts?
Other than audits and testing, there's automated security checking: https://github.com/ConsenSys/mythril I'm yet to try this in one of my projects
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Launching your Ethereum dApp on Avalanche
Mythril
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A Comprehensive Guide on Web3 Programming Languages and Tools
MythX, Mythril, Manticore, and Echidna are other tools for security audits.
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Tools to verify solidity code
Smart Contract Weakness Classification and Test Cases: https://swcregistry.io/ OKO Contract Explorer: https://oko.palkeo.com/txview Slither: https://github.com/crytic/slither MythX: https://mythx.io/ Tenderly: https://tenderly.dev/ Spot check program: https://docs.google.com/document/d/16...
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Static analysis of smartcontracts?
There are some paid tools and some free ones. A few that come to mind are ConsenSys MythX (based in part on the open-source Mythril), ShiftLeft, Oyente, Octopus… maybe best to just check out ETHSecurity’s list.
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Formal Verification Methods in industry
When you say "formal verification methods", what kind of techniques are you interested in? While using interactive theorem provers will most likely not become very widespread, there are plenty of tools that use formal techniques to give more correctness guarantees. These tools might give some guarantees, but do not guarantee complete functional correctness. WireGuard (VPN tunnel) is I think a very interesting application where they verified the protocol. There are also some tools in use, e.g. Mythril and CrossHair, that focus on detecting bugs using symbolic execution. There's also INFER from Facebook/Meta which tries to verify memory safety automatically. The following GitHub repo might also interest you, it lists some companies that use formal methods: practical-fm
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Please check this if you are looking for a good tokenomics project.
- Audited by MythX.io
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What kind of Ethereum node/API/setup do I need for these use cases?
ability to run security analysis on contracts using for .e.g. https://github.com/ConsenSys/mythril
What are some alternatives?
PassMute - PassMute - A multi featured Password Transmutation/Mutator Tool
manticore - Symbolic execution tool
GriefBuddy - Search Shodan for Minecraft server IPs to grief
truffle - :warning: The Truffle Suite is being sunset. For information on ongoing support, migration options and FAQs, visit the Consensys blog. Thank you for all the support over the years.
MATE - MATE is a suite of tools for interactive program analysis with a focus on hunting for bugs in C and C++ code using Code Property Graphs.
slither - Static Analyzer for Solidity and Vyper
smart-contract-best-practices - A guide to smart contract security best practices
solc-select - Manage and switch between Solidity compiler versions
pyteal - Algorand Smart Contracts in Python
tatum-js - 🚀 Tatum SDK: A 💪 powerful, 🌟 feature-rich TypeScript/JavaScript 📚 library that streamlines the 🛠️ development of 🌐 blockchain applications.
echidna - Ethereum smart contract fuzzer
rotki - A portfolio tracking, analytics, accounting and management application that protects your privacy