PyPi: Tensorflow

CVE-2021-29567

Safety vulnerability ID: 40469

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 Jun 18, 2024
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Advisory

Tensorflow versions 2.1.4, 2.2.3, 2.3.3, 2.4.2 and 2.5.0 include a fix for CVE-2021-29567: Due to lack of validation in 'tf.raw_ops.SparseDenseCwiseMul', an attacker can trigger denial of service via 'CHECK'-fails or accesses to outside the bounds of heap allocated data. Since the implementation (https://github.com/tensorflow/tensorflow/blob/38178a2f7a681a7835bb0912702a134bfe3b4d84/tensorflow/core/kernels/sparse_dense_binary_op_shared.cc#L68-L80), it only validates the rank of the input arguments but no constraints between dimensions (https://www.tensorflow.org/api_docs/python/tf/raw_ops/SparseDenseCwiseMul) and an attacker can abuse them to trigger internal 'CHECK' assertions (and cause program termination, denial of service) or to write to memory outside of bounds of heap allocated tensor buffers.

Affected package

tensorflow

Latest version: 2.16.1

TensorFlow is an open source machine learning framework for everyone.

Affected versions

Fixed versions

Vulnerability changelog

TensorFlow is an end-to-end open source platform for machine learning. Due to lack of validation in `tf.raw_ops.SparseDenseCwiseMul`, an attacker can trigger denial of service via `CHECK`-fails or accesses to outside the bounds of heap allocated data. Since the implementation(https://github.com/tensorflow/tensorflow/blob/38178a2f7a681a7835bb0912702a134bfe3b4d84/tensorflow/core/kernels/sparse_dense_binary_op_shared.cc#L68-L80) only validates the rank of the input arguments but no constraints between dimensions(https://www.tensorflow.org/api_docs/python/tf/raw_ops/SparseDenseCwiseMul), an attacker can abuse them to trigger internal `CHECK` assertions (and cause program termination, denial of service) or to write to memory outside of bounds of heap allocated tensor buffers. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range. See CVE-2021-29567.


CONFIRM:https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wp3c-xw9g-gpcg: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-wp3c-xw9g-gpcg
MISC:https://github.com/tensorflow/tensorflow/commit/7ae2af34087fb4b5c8915279efd03da3b81028bc: https://github.com/tensorflow/tensorflow/commit/7ae2af34087fb4b5c8915279efd03da3b81028bc

Resources

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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