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Vulnerability DatabaseCVE-2022-35971
CVE-2022-35971:
Python vulnerability analysis and mitigation
Overview
TensorFlow's FakeQuantWithMinMaxVars operation contained a vulnerability (CVE-2022-35971) that was discovered in September 2022. The vulnerability affected TensorFlow versions prior to 2.10.0, with patched versions including 2.7.4, 2.8.3, 2.9.2, and 2.10.0 (GitHub Advisory).
Technical details
The vulnerability occurs when the FakeQuantWithMinMaxVars operation is provided with min or max tensors that have a nonzero rank. This improper input validation can trigger a CHECK fail condition. The issue was fixed by adding proper validation checks for the tensor shapes in the operation's implementation (GitHub Commit).
Impact
When exploited, this vulnerability can be used to trigger a denial of service (DoS) attack on systems running the affected versions of TensorFlow. The severity of this vulnerability was rated as Low (GitHub Advisory).
Mitigation and workarounds
The recommended mitigation is to upgrade to one of the patched versions: TensorFlow 2.7.4, 2.8.3, 2.9.2, or 2.10.0. The fix was implemented through proper input validation checks that ensure min and max tensors are scalar values (GitHub Advisory).
Additional resources
Source: This report was generated using AI
Related Python vulnerabilities:
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