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SCA: security update for tensorflow, tensorflow-cpu, tensorflow-gpu (GHSA-f8h4-7rgh-q2gm)

high Tenable Cloud Security Plugin ID 414384

Description

There are packages installed that are affected by a vulnerability referenced in the following CVE:

 - TensorFlow is an end-to-end open source platform for machine learning. In affected versions the
 implementation for `tf.raw_ops.ExperimentalDatasetToTFRecord` and `tf.raw_ops.DatasetToTFRecord` can
 trigger heap buffer overflow and segmentation fault. The [implementation](https://github.com/tensorflow/te
 nsorflow/blob/f24faa153ad31a4b51578f8181d3aaab77a1ddeb/tensorflow/core/kernels/data/experimental/to_tf_rec
 ord_op.cc#L93-L102) assumes that all records in the dataset are of string type. However, there is no check
 for that, and the example given above uses numeric types. We have patched the issue in GitHub commit
 e0b6e58c328059829c3eb968136f17aa72b6c876. 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. (CVE-2021-37650)

See Also

https://github.com/advisories/GHSA-f8h4-7rgh-q2gm

Plugin Details

Severity: High

ID: 414384

Version: Revision 1.4

Type: Local

Family: SCA Checks

Published: 1/23/2025

Updated: 7/2/2026

Supported Sensors: Tenable Cloud Security, Tenable Self-Hosted Container Security

Risk Information

VPR

Risk Factor: Medium

Score: 4.9

Percentile: 57.12

CVSS v2

Risk Factor: Medium

Base Score: 4.6

Temporal Score: 3.4

Vector: CVSS2#AV:L/AC:L/Au:N/C:P/I:P/A:P

CVSS Score Source: CVE-2021-37650

CVSS v3

Risk Factor: High

Base Score: 7.8

Temporal Score: 6.8

Vector: CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

Temporal Vector: CVSS:3.0/E:U/RL:O/RC:C

Vulnerability Information

Exploit Ease: No known exploits are available

Patch Publication Date: 8/11/2021

Vulnerability Publication Date: 8/11/2021

Reference Information

CVE: CVE-2021-37650