PT-2021-21795 · Google · Tensorflow

Yakun Zhang · Published 2021-08-12 · Updated 2024-03-06 · CVE-2021-37677

Positive Technologies (AI Summary)

CVSS v4.0

6.8

Medium

Base vector

AV:L/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N

Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.6.0 TensorFlow versions 2.5.1 and earlier TensorFlow versions 2.4.3 and earlier TensorFlow versions 2.3.4 and earlier

Description The shape inference code for tf.raw ops.Dequantize has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments. The shape inference implementation uses axis to select between two different values for minmax rank which is then used to retrieve tensor dimensions. However, the code assumes that axis can be either -1 or a value greater than -1, with no validation for other values.

Recommendations For versions prior to 2.6.0, update to TensorFlow 2.6.0 or later. For versions 2.5.1 and earlier, update to TensorFlow 2.5.1 or later. For versions 2.4.3 and earlier, update to TensorFlow 2.4.3 or later. For versions 2.3.4 and earlier, update to TensorFlow 2.3.4 or later. As a temporary workaround, consider validating the axis value before passing it to tf.raw ops.Dequantize to prevent the denial of service via a segfault.

Fix

RCE

Weakness Enumeration

CWE-20

CWE-1284

Related Identifiers

BIT-TENSORFLOW-2021-37677

CVE-2021-37677

GHSA-QFPC-5PJR-MH26

OPENSUSE-SU-2022:10014-1

OPENSUSE-SU-2024:12116-1

PYSEC-2021-299

PYSEC-2021-590

PYSEC-2021-788

Affected Products

Tensorflow

References · 86

• https://github.com/tensorflow/tensorflow/security/advisories/GHSA-qfpc-5pjr-mh26 · Vendor Advisory
• https://github.com/tensorflow/tensorflow/commit/da857cfa0fde8f79ad0afdbc94e88b5d4bbec764 · Patch
• https://osv.dev/vulnerability/openSUSE-SU-2022:10014-1 · Vendor Advisory
• https://osv.dev/vulnerability/PYSEC-2021-590 · Vendor Advisory
• https://osv.dev/vulnerability/CVE-2021-37677 · Vendor Advisory
• https://osv.dev/vulnerability/GHSA-qfpc-5pjr-mh26 · Vendor Advisory
• https://nvd.nist.gov/vuln/detail/CVE-2021-37677 · Security Note
• https://osv.dev/vulnerability/BIT-tensorflow-2021-37677 · Vendor Advisory
• https://osv.dev/vulnerability/PYSEC-2021-788 · Vendor Advisory
• https://osv.dev/vulnerability/PYSEC-2021-299 · Vendor Advisory
• https://github.com/tensorflow/tensorflow · Note
• https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-788.yaml · Note
• https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-299.yaml · Note
• https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-590.yaml · Note
• https://suse.com/security/cve/CVE-2021-37656 · Note