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CVE-2021-37672

nvd nist
Published: Aug 12, 2021Modified: Jun 17, 2026

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5.5
Vector
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N
Exploitability: 1.8 / Impact: 3.6
Source: NVD

Description

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to `tf.raw_ops.SdcaOptimizerV2`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/sdca_internal.cc#L320-L353) does not check that the length of `example_labels` is the same as the number of examples. We have patched the issue in GitHub commit a4e138660270e7599793fa438cd7b2fc2ce215a6. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

Affected (6)

Products: Google: Tensorflow
1 product
Tensorflow
Configuration A
6 vulnerable
Vulnerable SoftwareAffected Versions
Google
From 2.3.0 to 2.3.4
From 2.4.0 to 2.4.3
Version 2.5.0
Version 2.6.0 rc0
Version 2.6.0 rc1
Version 2.6.0 rc2

References (4)

Source: security-advisories@github.com
PatchThird Party Advisory
Source: security-advisories@github.com
Third Party Advisory
Source: af854a3a-2127-422b-91ae-364da2661108
PatchThird Party Advisory
Source: af854a3a-2127-422b-91ae-364da2661108
Third Party Advisory

Timeline

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