slither VS mythril

Yes exactly! However, >99% of the time this wouldn't happen unintentionally, and typically static analysis frameworks will detect function clashing like slither: https://github.com/crytic/slither.

I don't know these tools but took a look at the slither-analyze deps, and see that solc-select is not a hard dependency, but part of the extra dep group called dev. So with a normal pipx install slither-analyze, solc-select is probably absent from the relevant venv.

Congrats, you just wasted money for an audit you could have done for free with https://github.com/crytic/slither.

Vulnerability Infrastructure: Slither

What are the differences of your solution to `slither documentation`?

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.

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.

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

Mythril

MythX, Mythril, Manticore, and Echidna are other tools for security audits.

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...

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.

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

- Audited by MythX.io

ability to run security analysis on contracts using for .e.g. https://github.com/ConsenSys/mythril