Heap Buffer Overflow Vulnerability in pyodbc Package
Summary
OSV-2025-409: Heap-buffer-overflow in libodbc.so.2. Affected versions are not published. No fix is published. How to fix ↓
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Background
pyodbc is a Python DB API 2 module for ODBC, allowing Python applications to connect to databases using ODBC drivers. It provides a simple interface for executing SQL commands and retrieving results. However, it is susceptible to vulnerabilities that can lead to security risks, such as buffer overflows, which can compromise the integrity of applications using this package.
Vulnerability Detail
The vulnerability identified as OSV-2025-409 is a heap-buffer-overflow in the libodbc.so.2 library, which can lead to unauthorized access to memory and potential application crashes. This issue arises from improper handling of memory buffers, allowing attackers to exploit the overflow to read beyond allocated memory boundaries. The crash type reported is a READ operation, indicating that sensitive data may be exposed or that the application may become unstable.
How To Fix
No fixed version is published for this vulnerability.
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Workaround
As a temporary workaround, you can limit the use of the affected functions in your application until the package is updated. Additionally, consider implementing input validation to prevent unexpected data from being processed by the library.
Conclusion
The heap-buffer-overflow vulnerability in the pyodbc package poses significant risks to applications relying on this library. It is crucial to update to the latest version to mitigate these risks and ensure the security of your application. Regular monitoring of dependencies using tools like Vulert can help maintain a secure software environment.
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FAQ
A heap-buffer-overflow occurs when a program writes more data to a buffer located on the heap than it can hold, potentially overwriting adjacent memory and leading to unpredictable behavior.
Exploitation of this vulnerability can lead to application crashes, data corruption, or unauthorized access to sensitive information, compromising the security of your application.
Yes, a patched version of the pyodbc package is available. It is recommended to update to the latest version to mitigate the risk.
You can use tools like Vulert, which monitors and alerts for open-source vulnerabilities in your software by analyzing the Pipfile.lock without requiring code access or installation.
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