TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefined behavior via binding a reference to null pointer in `tf.raw_ops.SparseFillEmptyRows`. The shape inference [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/ops/sparse_ops.cc#L608-L634) does not validate that the input arguments are not empty tensors. We have patched the issue in GitHub commit 578e634b4f1c1c684d4b4294f9e5281b2133b3ed. 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.
Published 2021-08-12 22:15:09
Updated 2021-08-18 20:29:21
Source GitHub, Inc.
View at NVD,   CVE.org

Exploit prediction scoring system (EPSS) score for CVE-2021-37676

0.04%
Probability of exploitation activity in the next 30 days EPSS Score History
~ 10 %
Percentile, the proportion of vulnerabilities that are scored at or less

CVSS scores for CVE-2021-37676

Base Score Base Severity CVSS Vector Exploitability Score Impact Score Score Source First Seen
4.6
MEDIUM AV:L/AC:L/Au:N/C:P/I:P/A:P
3.9
6.4
NIST
7.8
HIGH CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
1.8
5.9
NIST
7.8
HIGH CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
1.8
5.9
GitHub, Inc.

CWE ids for CVE-2021-37676

References for CVE-2021-37676

Products affected by CVE-2021-37676

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