CVE-2023-30629
Incorrect bytecode generation in Vyper (versions 0.3.1 through 0.3.7) for raw_call with specific parameters
- CVSS 7.5
- CWE-670
- Design Defects
- Remote
Vyper is a Pythonic Smart Contract Language for the ethereum virtual machine. In versions 0.3.1 through 0.3.7, the Vyper compiler generates the wrong bytecode. Any contract that uses the `raw_call` with `revert_on_failure=False` and `max_outsize=0` receives the wrong response from `raw_call`. Depending on the memory garbage, the result can be either `True` or `False`. A patch is available and, as of time of publication, anticipated to be part of Vyper 0.3.8. As a workaround, one may always put `max_outsize>0`.
- CWE
- CWE-670
- CVSS base score
- 7.5
- Published
- 2023-04-24
- OWASP
- A03 Injection
- Orthogonal defect classification
- Function
- Code defect classification
- Incorrect Functionality
- Category
- Design Defects
- Subcategory
- Inadequate Error Handling
- Accessibility scope
- Remote
- Impact
- Information Disclosure
- Fixed by upgrading
- Yes
Solution
Update to Vyper version 0.3.8 or higher
Vulnerable code sample
@external
@payable
def call_external(addr: address):
"""Vulnerable function that demonstrates the security issue."""
success: bool = raw_call(
addr,
b"",
revert_on_failure=False,
max_outsize=0
)
assert success, "External call failed"Patched code sample
@external
@payable
def call_external(addr: address):
"""Secure function that fixes the vulnerability."""
success: bool = raw_call(
addr,
b"",
max_outsize=1,
revert_on_failure=True
)
assert success, "External call failed"Cite this entry
@misc{vaitp:cve202330629,
title = {{Incorrect bytecode generation in Vyper (versions 0.3.1 through 0.3.7) for raw_call with specific parameters}},
author = {Bogaerts, Fr\'ed\'eric and Ivaki, Naghmeh and Fonseca, Jos\'e},
year = {2023},
note = {VAITP Python Vulnerability Dataset, entry CVE-2023-30629},
howpublished = {\url{https://netpack.pt/vaitp/vulnerability/CVE-2023-30629/}}
}
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.
The supreme art of war is to subdue the enemy without fighting.
Sun Tzu – “The Art of War”
:: Shaping the future through research and ingenuity ::
