PyPi: Tensorflow-Rocm

CVE-2021-29513

Safety vulnerability ID: 57923

This vulnerability was reviewed by experts

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

Created at May 14, 2021 Updated at Nov 29, 2024

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Advisory

Tensorflow-rocm 2.1.4, 2.2.3, 2.3.3, 2.4.2, and 2.5.0 include a fix for CVE-2021-29513: Calling TF operations with tensors of non-numeric types when the operations expect numeric tensors result in null pointer dereferences. The conversion from Python array to C++ array (https://github.com/tensorflow/tensorflow/blob/ff70c47a396ef1e3cb73c90513da4f5cb71bebba/tensorflow/python/lib/core/ndarray_tensor.cc#L113-L169) is vulnerable to a type confusion.

Affected package

tensorflow-rocm

Latest version: 2.14.0.600

TensorFlow is an open source machine learning framework for everyone.

Affected versions

Fixed versions

Vulnerability changelog

This vulnerability has no description

Resources

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Severity Details

CVSS Base Score

HIGH 7.8

CVSS v3 Details

HIGH 7.8

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

CVSS v2 Details

MEDIUM 4.6

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