PyPi: Tensorflow

CVE-2021-41197

Safety vulnerability ID: 42444

This vulnerability was reviewed by experts

The information on this page was manually curated by our Cybersecurity Intelligence Team.

Created at Nov 05, 2021 Updated at Oct 25, 2024
Scan your Python projects for vulnerabilities →

Advisory

Affected versions of Tensorflow allow tensors to have a large number of dimensions and each dimension can be as large as desired. However, the total number of elements in a tensor must fit within an 'int64_t'. If an overflow occurs, 'MultiplyWithoutOverflow' would return a negative result. In the majority of TensorFlow codebase this then results in a 'CHECK'-failure. Newer constructs exist which return a 'Status' instead of crashing the binary. This is a similar issue to CVE-2021-29584.

Affected package

tensorflow

Latest version: 2.18.0

TensorFlow is an open source machine learning framework for everyone.

Affected versions

Fixed versions

Vulnerability changelog

TensorFlow is an open source platform for machine learning. In affected versions TensorFlow allows tensor to have a large number of dimensions and each dimension can be as large as desired. However, the total number of elements in a tensor must fit within an `int64_t`. If an overflow occurs, `MultiplyWithoutOverflow` would return a negative result. In the majority of TensorFlow codebase this then results in a `CHECK`-failure. Newer constructs exist which return a `Status` instead of crashing the binary. This is similar to CVE-2021-29584. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range. See CVE-2021-41197.


CONFIRM:https://github.com/tensorflow/tensorflow/security/advisories/GHSA-prcg-wp5q-rv7p: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-prcg-wp5q-rv7p
MISC:https://github.com/tensorflow/tensorflow/commit/7c1692bd417eb4f9b33ead749a41166d6080af85: https://github.com/tensorflow/tensorflow/commit/7c1692bd417eb4f9b33ead749a41166d6080af85
MISC:https://github.com/tensorflow/tensorflow/commit/a871989d7b6c18cdebf2fb4f0e5c5b62fbc19edf: https://github.com/tensorflow/tensorflow/commit/a871989d7b6c18cdebf2fb4f0e5c5b62fbc19edf
MISC:https://github.com/tensorflow/tensorflow/commit/d81b1351da3e8c884ff836b64458d94e4a157c15: https://github.com/tensorflow/tensorflow/commit/d81b1351da3e8c884ff836b64458d94e4a157c15
MISC:https://github.com/tensorflow/tensorflow/issues/46890: https://github.com/tensorflow/tensorflow/issues/46890
MISC:https://github.com/tensorflow/tensorflow/issues/51908: https://github.com/tensorflow/tensorflow/issues/51908

Resources

Use this package?

Scan your Python project for dependency vulnerabilities in two minutes

Scan your application

Severity Details

CVSS Base Score

MEDIUM 5.5

CVSS v3 Details

MEDIUM 5.5
Attack Vector (AV)
LOCAL
Attack Complexity (AC)
LOW
Privileges Required (PR)
LOW
User Interaction (UI)
NONE
Scope (S)
UNCHANGED
Confidentiality Impact (C)
NONE
Integrity Impact (I)
NONE
Availability Availability (A)
HIGH

CVSS v2 Details

LOW 2.1
Access Vector (AV)
LOCAL
Access Complexity (AC)
LOW
Authentication (Au)
NONE
Confidentiality Impact (C)
NONE
Integrity Impact (I)
NONE
Availability Impact (A)
PARTIAL