Learn about CVE-2021-33430, a disputed Buffer Overflow vulnerability in NumPy 1.9.x. Understand the impact, technical details, and mitigation steps to protect your systems.
NumPy 1.9.x is affected by a Buffer Overflow vulnerability in the PyArray_NewFromDescr_int function, allowing a malicious user to cause a Denial of Service. The existence and severity of this vulnerability are disputed.
Understanding CVE-2021-33430
This CVE describes a Buffer Overflow vulnerability in NumPy 1.9.x that could lead to a Denial of Service attack.
What is CVE-2021-33430?
The vulnerability exists in the PyArray_NewFromDescr_int function of ctors.c when specifying arrays of large dimensions from Python code, potentially exploited by a malicious user.
The Impact of CVE-2021-33430
If successfully exploited, this vulnerability may result in a Denial of Service condition, though the vendor disputes its severity.
Technical Details of CVE-2021-33430
The technical details include the description of the vulnerability, affected systems, and the exploitation mechanism.
Vulnerability Description
The vulnerability in NumPy 1.9.x in the PyArray_NewFromDescr_int function allows a buffer overflow when handling large arrays, potentially leading to a Denial of Service.
Affected Systems and Versions
NumPy 1.9.x is affected by this vulnerability.
Exploitation Mechanism
A malicious user can trigger the buffer overflow by specifying large arrays from Python code, potentially causing a Denial of Service.
Mitigation and Prevention
To address CVE-2021-33430, immediate steps, long-term security practices, and the importance of patching and updates are crucial.
Immediate Steps to Take
Users should exercise caution when handling large arrays with NumPy 1.9.x, especially when using complicated structured dtypes.
Long-Term Security Practices
Implement robust security measures and continuously monitor for any unusual activities or memory exhaustion.
Patching and Updates
Stay informed about security patches and updates provided by NumPy to address this vulnerability effectively.