CVE-2023-32675
Vyper default function nonpayable issue
- CVSS 5.3
- CWE-670
- Authentication, Authorization, and Session Management
- Remote
Vyper is a pythonic Smart Contract Language for the ethereum virtual machine. In contracts with more than one regular nonpayable function, it is possible to send funds to the default function, even if the default function is marked `nonpayable`. This applies to contracts compiled with vyper versions prior to 0.3.8. This issue was fixed by the removal of the global `calldatasize` check in commit `02339dfda`. Users are advised to upgrade to version 0.3.8. Users unable to upgrade should avoid use of nonpayable default functions.
- CWE
- CWE-670
- CVSS base score
- 5.3
- Published
- 2023-05-19
- OWASP
- A04 Insecure Design
- Orthogonal defect classification
- Interface
- Code defect classification
- Incorrect Interface
- Category
- Authentication, Authorization, and Session Management
- Subcategory
- Insecure Authentication Mechanisms
- Accessibility scope
- Remote
- Impact
- Unauthorized Access
- Fixed by upgrading
- Yes
Solution
Update to Vyper version 0.3.8 or higher
Vulnerable code sample
@external
@nonpayable
def __default__():
pass
@external
@nonpayable
def regular_function_one():
pass
@external
@nonpayable
def regular_function_two():
passPatched code sample
@external
@nonpayable
def __default__():
assert msg.value == 0, "This function does not accept Ether"
@external
@nonpayable
def regular_function_one():
assert msg.value == 0, "This function does not accept Ether"
@external
@nonpayable
def regular_function_two():
assert msg.value == 0, "This function does not accept Ether"Cite this entry
@misc{vaitp:cve202332675,
title = {{Vyper default function nonpayable issue}},
author = {Bogaerts, Fr\'ed\'eric and Ivaki, Naghmeh and Fonseca, Jos\'e},
year = {2023},
note = {VAITP Python Vulnerability Dataset, entry CVE-2023-32675},
howpublished = {\url{https://netpack.pt/vaitp/vulnerability/CVE-2023-32675/}}
}
Introducing the "VAITP dataset": a specialized repository of Python vulnerabilities and patches, meticulously compiled for the use of the security research community. As Python's prominence grows, understanding and addressing potential security vulnerabilities become crucial. Crafted by and for the cybersecurity community, this dataset offers a valuable resource for researchers, analysts, and developers to analyze and mitigate the security risks associated with Python. Through the comprehensive exploration of vulnerabilities and corresponding patches, the VAITP dataset fosters a safer and more resilient Python ecosystem, encouraging collaborative advancements in programming security.
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