PyPi: Tensorflow-Rocm

CVE-2021-37641

Safety vulnerability ID: 57797

This vulnerability was reviewed by experts

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

Created at Aug 12, 2021 Updated at Nov 29, 2024
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Advisory

Tensorflow-rocm 2.3.4, 2.4.3, 2.5.1 and 2.6.0 include a fix for CVE-2021-37641: In affected versions if the arguments to 'tf.raw_ops.RaggedGather' don't determine a valid ragged tensor code can trigger a read from outside of bounds of heap allocated buffers. The implementation (https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/ragged_gather_op.cc#L70) directly reads the first dimension of a tensor shape before checking that said tensor has rank of at least 1 (i.e., it is not a scalar). Furthermore, the implementation does not check that the list given by 'params_nested_splits' is not an empty list of tensors. The Tensorflow team has patched the issue in GitHub commit a2b743f6017d7b97af1fe49087ae15f0ac634373.

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 7.1

CVSS v3 Details

HIGH 7.1
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)
NONE
Availability Availability (A)
HIGH

CVSS v2 Details

LOW 3.6
Access Vector (AV)
LOCAL
Access Complexity (AC)
LOW
Authentication (Au)
NONE
Confidentiality Impact (C)
PARTIAL
Integrity Impact (I)
NONE
Availability Impact (A)
PARTIAL