PT-2021-18320 · Google · Tensorflow

Yakun Zhang + 1 · Published 2021-05-14 · Updated 2024-03-06 · CVE-2021-29569

Positive Technologies (AI Summary)

CVSS v3.1

7.1

High

Base vector

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

Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.5.0 TensorFlow versions 2.4.2 and earlier TensorFlow versions 2.3.3 and earlier TensorFlow versions 2.2.3 and earlier TensorFlow versions 2.1.4 and earlier

Description The implementation of tf.raw ops.MaxPoolGradWithArgmax can cause reads outside of bounds of heap allocated data if an attacker supplies specially crafted inputs. This occurs because the implementation assumes that the input min and input max tensors have at least one element. If the tensors are empty, accessing even the 0th element is a read outside the bounds.

Recommendations For TensorFlow versions prior to 2.5.0, update to version 2.5.0 or later. For TensorFlow versions 2.4.2 and earlier, update to version 2.4.2 or later. For TensorFlow versions 2.3.3 and earlier, update to version 2.3.3 or later. For TensorFlow versions 2.2.3 and earlier, update to version 2.2.3 or later. For TensorFlow versions 2.1.4 and earlier, update to version 2.1.4 or later. As a temporary workaround, consider validating the input min and input max tensors to ensure they are not empty before passing them to tf.raw ops.MaxPoolGradWithArgmax.

Exploit

Fix

Out of bounds Read

Weakness Enumeration

CWE-125

Related Identifiers

BIT-TENSORFLOW-2021-29569

CVE-2021-29569

GHSA-3H8M-483J-7XXM

PYSEC-2021-206

PYSEC-2021-497

PYSEC-2021-695

Affected Products

Tensorflow

References · 13

• 🔥 https://github.com/tensorflow/tensorflow/security/advisories/GHSA-3h8m-483j-7xxm · Exploit
• https://github.com/tensorflow/tensorflow/commit/ef0c008ee84bad91ec6725ddc42091e19a30cf0e · Patch
• https://nvd.nist.gov/vuln/detail/CVE-2021-29569 · Security Note
• https://osv.dev/vulnerability/PYSEC-2021-497 · Vendor Advisory
• https://osv.dev/vulnerability/BIT-tensorflow-2021-29569 · Vendor Advisory
• https://osv.dev/vulnerability/PYSEC-2021-206 · Vendor Advisory
• https://osv.dev/vulnerability/GHSA-3h8m-483j-7xxm · Vendor Advisory
• https://osv.dev/vulnerability/CVE-2021-29569 · Vendor Advisory
• https://osv.dev/vulnerability/PYSEC-2021-695 · Vendor Advisory
• https://github.com/tensorflow/tensorflow · Note
• https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-497.yaml · Note
• https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-206.yaml · Note
• https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-695.yaml · Note