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    • Introduction
      • 🔷1. Ethereum Basics
        • 1.1 Ethereum: Concept, Infrastructure & Purpose
        • 1.2 Properties of the Ethereum Infrastructure
        • 1.3 Ethereum vs. Bitcoin
        • 1.4 Ethereum Core Components
        • 1.5 Gas Metering: Solving the Halting Problem
        • 1.6 web2 vs. web3: The Paradigm Shift
        • 1.7 Decentralization
        • 1.8 Cryptography, Digital Signature & Keys
        • 1.9 Ethereum State & Account Types
        • 1.10 Transactions: Properties & Components
        • 1.11 Contract Creation
        • 1.12 Transactions, Messages & Blockchain
        • 1.13 EVM (Ethereum Virtual Machine) in Depth
        • 1.14 Transaction Reverts & Data
        • 1.15 Block Explorer
        • 1.16 Mainnet & Testnets
        • 1.17 ERCs & EIPs
        • 1.18 Legal Aspects in web3: Pseudonymity & DAOs
        • 1.19 Security in web3
        • 1.20 web2 Timescales vs. web3 Timescales
        • 1.21 Test-in-Prod. SSLDC vs. Audits
        • Summary: 101 Keypoints
      • 🌀2. Solidity
        • 2.1 Solidity: Influence, Features & Layout
        • 2.2 SPDX & Pragmas
        • 2.3 Imports
        • 2.4 Comments & NatSpec
        • 2.5 Smart Contracts
        • 2.6 State Variables: Definition, Visibility & Mutability
        • 2.7 Data Location
        • 2.8 Functions
        • 2.9 Events
        • 2.10 Solidity Typing
        • 2.11 Solidity Variables
        • 2.12 Address Type
        • 2.13 Conversions
        • 2.14 Keywords & Shorthand Operators
        • 2.15 Solidity Units
        • 2.16 Block & Transaction Properties
        • 2.17 ABI Encoding & Decoding
        • 2.18 Error Handling
        • 2.19 Mathematical & Cryptographic Functions
        • 2.20 Control Structures
        • 2.21 Style & Conventions
        • 2.22 Inheritance
        • 2.23 EVM Storage
        • 2.24 EVM Memory
        • 2.25 Inline Assembly
        • 2.26 Solidity Version Changes
        • 2.27 Security Checks
        • 2.28 OpenZeppelin Libraries
        • 2.29 DAppSys Libraries
        • 2.30 Important Protocols
        • Summary: 201 Keypoints
      • 🔏3. Security Pitfalls & Best Practices
        • 3.1 Solidity Versions
        • 3.2 Access Control
        • 3.3 Modifiers
        • 3.4 Constructor
        • 3.5 Delegatecall
        • 3.6 Reentrancy
        • 3.7 Private Data
        • 3.8 PRNG & Time
        • 3.9 Math & Logic
        • 3.10 Transaction Order Dependence
        • 3.11 ecrecover
        • 3.12 Unexpected Returns
        • 3.13 Ether Accounting
        • 3.14 Transaction Checks
        • 3.15 Delete Mappings
        • 3.16 State Modification
        • 3.17 Shadowing & Pre-declaration
        • 3.18 Gas & Costs
        • 3.19 Events
        • 3.20 Unary Expressions
        • 3.21 Addresses
        • 3.22 Assertions
        • 3.23 Keywords
        • 3.24 Visibility
        • 3.25 Inheritance
        • 3.26 Reference Parameters
        • 3.27 Arbitrary Jumps
        • 3.28 Hash Collisions & Byte Level Issues
        • 3.29 Unicode RTLO
        • 3.30 Variables
        • 3.31 Pointers
        • 3.32 Out-of-range Enum
        • 3.33 Dead Code & Redundant Statements
        • 3.34 Compiler Bugs
        • 3.35 Proxy Pitfalls
        • 3.36 Token Pitfalls
        • 3.37 Special Token Pitfalls
        • 3.38 Guarded Launch Pitfalls
        • 3.39 System Pitfalls
        • 3.40 Access Control Pitfalls
        • 3.41 Testing, Unused & Redundand Code
        • 3.42 Handling Ether
        • 3.43 Application Logic Pitfalls
        • 3.44 Saltzer & Schroeder's Design Principles
        • Summary: 201 Keypoints
      • 🗜️4. Audit Techniques & Tools
        • 4.1 Audit
        • 4.2 Analysis Techniques
        • 4.3 Specification, Documentation & Testing
        • 4.4 False Positives & Negatives
        • 4.5 Security Tools
        • 4.6 Audit Process
        • Summary: 101 Keypoints
      • ☝️5. Audit Findings
        • 5.1 Criticals
        • 5.2 Highs
        • 5.3 Mediums
        • 5.4 Lows
        • 5.5 Informationals
        • Summary: 201 Keypoints
  • 🌱CARE
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    • A-MAZE-X CTFs
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      • Secureum A-MAZE-X Stanford
      • Secureum A-MAZE-X Maison de la Chimie Paris
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  3. 1. Ethereum Basics

1.18 Legal Aspects in web3: Pseudonymity & DAOs

When it comes to legal and regulatury aspects of who is responsible, what are they responsible for if something goes wrong, everything changes dramatically in the web3 space compared to web2.

One of the things is the pseudonymity or who is the team behind a particular project. There is an increasing trend towards some of the people involved in the projects being pseudonymous. This could be because of the regulatory uncertainty regarding cryptocurrencies (or crypto space in general), or also be because of the legal implications thereof.

This changes the way we think about reputation and trustworthiness when it comes to applications, projects or products. It also affects the legal or social accountability when it comes to projects: who is responsible, who is accountable if the team is pseudonymous, how do you even know what what they're doing with the project, with the governance and so on... There's this concept of trusting software and not wetware, which is great but there are still social processes where people are involved to a great extent around building the project, rolling it out and the governance of the projects that has a huge implication towards the security posture.

DAOs

DAOs (Decentralized Autonomous Organizations) stem from the trust minimization and censorship resistance aspects of web3. Their objective is to minimize the role and the influence of centralized parties, or a few privileged individuals, in the life cycle of the projects. This means that the project ultimately evolves or aspires to be governed by a DAO, which can be comprised of a community of token holders for that particular project. They make voting based decisions on how the project treasury should be spent, what the protocol changes should be and, in some of the cases, all these are decided on-chain and affected on-chain as well.

While this reduces the centralized points of wetware failure, as we call it, it also slows down decision making on a lot of the security critical aspects: imagine if there were vulnerabilities to be found in a deployed contract, and somebody had to create a fix and deploy the fix. If that had to go through a DAO for the decision making, you would have to give a certain amount of time for the token holders to vote for that decision.

A centralized party entity in the web2 space can make this decision immediately, unilaterally and deploy that fix in a few hours, if not less. In web3 (i.e. DAOs), the decision making is decentralized and has that downside.

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Last updated 1 year ago

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