Atur jumlah dan catatan
Stok Total: Sisa 10
Subtotal
Rp1.017.000
Smart Contract Hacking Course
Rp1.017.000
- Kondisi: Baru
- Min. Pemesanan: 1 Buah
- Etalase: Semua Etalase
Smart contract hacking involves the analysis and exploitation of vulnerabilities within decentralized applications (DApps) that utilize smart contracts. Malicious actors continuously search for weaknesses and unintended behaviors within these contracts to gain unauthorized access or manipulate the contract’s functionalities.
Vulnerabilities in smart contracts can arise from various sources, such as coding errors, incorrect assumptions about user behavior, or flawed contract design. Here are some examples of potential vulnerabilities that might exists in smart contracts:
1. Logical flaws.
Logical flaws refer to flaws in the contract’s logic that allow unexpected behaviors or unintended consequences. For example, a logical flaw may enable an attacker to bypass certain conditions or manipulate variables in a way that grants unauthorized access or alters the contract’s intended functionality.
2. Access control issue.
Access control issues arise when the contract fails to properly implement or enforce access restrictions. This can result in unauthorized parties gaining control over critical functions or manipulating sensitive data.
3. Reentrancy attacks.
Reentrancy attacks occur when a malicious contract or external entity repeatedly calls a vulnerable contract’s function before it completes its previous execution. This can lead to unexpected behaviors and enable unauthorized access or manipulation of the contract’s state.
4. Input validation errors.
Input validation errors involve inadequate checks or validation of user-provided data, allowing malicious actors to pass harmful or unexpected inputs that can disrupt the contract’s intended operation or lead to unauthorized actions.
To identify vulnerabilities in smart contracts, hackers employ techniques such as code review (smart contract auditing), and fuzzing.
5. Code review: involves carefully examining the contract’s code to identify potential vulnerabilities, logical flaws, or inconsistencies.
6. Fuzzing: involves supplying unexpected or malicious inputs to the contract and monitoring its response for unexpected behaviors or crashes. Penetration testing involves simulating real-world attacks to identify vulnerabilities that could be exploited.
Smart Contract Hacking Course
Size: 16.8 GB
Contains: 382 Files, 33 Folders
Course Syllabus.
01. Intro
02. Career Paths
03. EVM
04. Environment & Dev Tools
05. Exercises Guidelines
06. Tokens crash course: ERC20
07. Tokens crash course: ERC721
08. ReEntrsncy Attacks
09. Arithmetic over/underflow
10. Phishing Attacks
11. Randomness Vulnerabilities
12. Access Control & Default Visibility
13. DEFI Crash Course: DEXes
14. DEFI Crash Course: Money Markets
15. Replay Attacks
16. Flash Loans & Flash Swaps
17. Flash Loan Attacks
18. Denial of Service
19. Sensitive On-Chain Data
20. Unchecked Return Value
21. Frontrunning
22. DAO & Governance Attacks
23. Oracle Manipulation
24. Call / Delegate call Attacks
FOR EDUCATION PURPOSE ONLY!
Vulnerabilities in smart contracts can arise from various sources, such as coding errors, incorrect assumptions about user behavior, or flawed contract design. Here are some examples of potential vulnerabilities that might exists in smart contracts:
1. Logical flaws.
Logical flaws refer to flaws in the contract’s logic that allow unexpected behaviors or unintended consequences. For example, a logical flaw may enable an attacker to bypass certain conditions or manipulate variables in a way that grants unauthorized access or alters the contract’s intended functionality.
2. Access control issue.
Access control issues arise when the contract fails to properly implement or enforce access restrictions. This can result in unauthorized parties gaining control over critical functions or manipulating sensitive data.
3. Reentrancy attacks.
Reentrancy attacks occur when a malicious contract or external entity repeatedly calls a vulnerable contract’s function before it completes its previous execution. This can lead to unexpected behaviors and enable unauthorized access or manipulation of the contract’s state.
4. Input validation errors.
Input validation errors involve inadequate checks or validation of user-provided data, allowing malicious actors to pass harmful or unexpected inputs that can disrupt the contract’s intended operation or lead to unauthorized actions.
To identify vulnerabilities in smart contracts, hackers employ techniques such as code review (smart contract auditing), and fuzzing.
5. Code review: involves carefully examining the contract’s code to identify potential vulnerabilities, logical flaws, or inconsistencies.
6. Fuzzing: involves supplying unexpected or malicious inputs to the contract and monitoring its response for unexpected behaviors or crashes. Penetration testing involves simulating real-world attacks to identify vulnerabilities that could be exploited.
Smart Contract Hacking Course
Size: 16.8 GB
Contains: 382 Files, 33 Folders
Course Syllabus.
01. Intro
02. Career Paths
03. EVM
04. Environment & Dev Tools
05. Exercises Guidelines
06. Tokens crash course: ERC20
07. Tokens crash course: ERC721
08. ReEntrsncy Attacks
09. Arithmetic over/underflow
10. Phishing Attacks
11. Randomness Vulnerabilities
12. Access Control & Default Visibility
13. DEFI Crash Course: DEXes
14. DEFI Crash Course: Money Markets
15. Replay Attacks
16. Flash Loans & Flash Swaps
17. Flash Loan Attacks
18. Denial of Service
19. Sensitive On-Chain Data
20. Unchecked Return Value
21. Frontrunning
22. DAO & Governance Attacks
23. Oracle Manipulation
24. Call / Delegate call Attacks
FOR EDUCATION PURPOSE ONLY!
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