In Tensorflow before version 2.4.0, an attacker can pass an invalid `axis` value to `tf.quantization.quantize_and_dequantize`. This results in accessing a dimension outside the rank of the input tensor in the C++ kernel implementation. However, dim_size only does a DCHECK to validate the argument and then uses it to access the corresponding element of an array. Since in normal builds, `DCHECK`-like macros are no-ops, this results in segfault and access out of bounds of the array. The issue is patched in eccb7ec454e6617738554a255d77f08e60ee0808 and TensorFlow 2.4.0 will be released containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved.
Advisories
Source ID Title
EUVD EUVD EUVD-2020-0211 In Tensorflow before version 2.4.0, an attacker can pass an invalid `axis` value to `tf.quantization.quantize_and_dequantize`. This results in accessing a dimension outside the rank of the input tensor in the C++ kernel implementation. However, dim_size only does a DCHECK to validate the argument and then uses it to access the corresponding element of an array. Since in normal builds, `DCHECK`-like macros are no-ops, this results in segfault and access out of bounds of the array. The issue is patched in eccb7ec454e6617738554a255d77f08e60ee0808 and TensorFlow 2.4.0 will be released containing the patch. TensorFlow nightly packages after this commit will also have the issue resolved.
Github GHSA Github GHSA GHSA-rrfp-j2mp-hq9c Segfault in `tf.quantization.quantize_and_dequantize`
Fixes

Solution

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Workaround

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cve-icon MITRE

Status: PUBLISHED

Assigner: GitHub_M

Published:

Updated: 2024-08-04T13:15:19.748Z

Reserved: 2020-06-25T00:00:00

Link: CVE-2020-15265

cve-icon Vulnrichment

No data.

cve-icon NVD

Status : Modified

Published: 2020-10-21T21:15:12.257

Modified: 2024-11-21T05:05:13.733

Link: CVE-2020-15265

cve-icon Redhat

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cve-icon OpenCVE Enrichment

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Weaknesses