CVE-2022-48566
NixOS vulnerability analysis and mitigation

Overview

A security vulnerability (CVE-2022-48566) was discovered in Python's compare_digest function within Lib/hmac.py affecting versions through 3.9.1. The vulnerability was identified in the implementation of the constant-time comparison function, which is crucial for secure cryptographic operations (Python Tracker, CVE Mitre).

Technical details

The vulnerability exists in the compare_digest function where constant-time-defeating optimizations were possible in the accumulator variable. The issue occurs because the accumulator variable 'result' was not marked as volatile, allowing the compiler to perform optimizations that could potentially break the constant-time guarantees of the comparison operation. This could lead to timing variations that might expose sensitive information during cryptographic operations (Python Tracker).

Impact

The vulnerability could potentially lead to the disclosure of sensitive information through timing side-channel attacks. When the compare_digest function is used for comparing secret values, such as in HMAC operations, the timing variations could allow attackers to gather information about the compared values (Red Hat CVE).

Mitigation and workarounds

The vulnerability has been fixed in multiple Python versions through security updates. The fix involves making the 'result' variable volatile to prevent compiler optimizations that could break constant-time guarantees. Various Linux distributions have released patches, including Ubuntu, Debian, and Red Hat. For instance, Debian has fixed this in python2.7 version 2.7.16-2+deb10u3 and python3.7 version 3.7.3-2+deb10u6 (Debian LTS, Debian LTS).

Community reactions

The vulnerability has been acknowledged and addressed by major technology vendors and Linux distributions. NetApp has classified this as a HIGH severity issue with a CVSS score of 8.1 and has released patches for affected products (NetApp Security).

Additional resources


SourceThis report was generated using AI

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