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CVE-2021-37645 Detail

Description

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of `tf.raw_ops.QuantizeAndDequantizeV4Grad` is vulnerable to an integer overflow issue caused by converting a signed integer value to an unsigned one and then allocating memory based on this value. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/quantize_and_dequantize_op.cc#L126) uses the `axis` value as the size argument to `absl::InlinedVector` constructor. But, the constructor uses an unsigned type for the argument, so the implicit conversion transforms the negative value to a large integer. We have patched the issue in GitHub commit 96f364a1ca3009f98980021c4b32be5fdcca33a1. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, and TensorFlow 2.4.3, as these are also affected and still in supported range.


Metrics

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CVSS 4.0 Severity and Vector Strings:

NIST CVSS score
NIST: NVD
N/A
NVD assessment not yet provided.

References to Advisories, Solutions, and Tools

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Hyperlink Resource
https://github.com/tensorflow/tensorflow/commit/96f364a1ca3009f98980021c4b32be5fdcca33a1 Patch  Third Party Advisory 
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-9w2p-5mgw-p94c Third Party Advisory 

Weakness Enumeration

CWE-ID CWE Name Source
CWE-681 Incorrect Conversion between Numeric Types GitHub, Inc.  

Known Affected Software Configurations Switch to CPE 2.2

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Change History

8 change records found show changes

Quick Info

CVE Dictionary Entry:
CVE-2021-37645
NVD Published Date:
08/12/2021
NVD Last Modified:
08/18/2021
Source:
GitHub, Inc.